#Stage Accenture Technology

[ana15dsouza]

Why Marathahalli Is a Hotspot for Data Science Professionals

Why Marathahalli Is a Hotspot for Data Science Professionals

Marathahalli, a bustling locality in the heart of Bangalore, has gained significant attention over the years as a hotspot for data science professionals and aspirants alike. Located close to major tech hubs like Whitefield and Electronic City, Marathahalli is home to many training institutes, job opportunities, and a growing tech community. The increasing demand for data science professionals in the area makes it an attractive destination for both aspiring data scientists and experienced professionals looking to upskill. In this article, we will explore why Marathahalli has become the go-to place for data science training and career growth.

Proximity to Tech Hubs and Job Opportunities

One of the biggest advantages of Marathahalli is its strategic location near key technology hubs like Whitefield and Electronic City. These areas are home to numerous multinational companies and tech giants such as Infosys, Wipro, Accenture, and Cognizant, among others. With such a high concentration of IT companies in the vicinity, there is an ever-increasing demand for skilled data science professionals. This creates a multitude of job opportunities in data science, machine learning, AI, and analytics roles, making Marathahalli a sought-after destination for professionals in these fields.

For those looking to advance their careers, Marathahalli offers easy access to several top-notch Data Science Institutes Marathahalli, providing a range of specialized courses such as machine learning, big data, Python for data science, and business analytics. These institutes not only offer comprehensive training but also help with placement opportunities, bridging the gap between education and employment.

Data Science Training Marathahalli

As the demand for data scientists continues to rise, so does the need for quality training. Marathahalli boasts several data science training centers offering programs designed to equip students with the skills needed to thrive in the competitive data science industry. These institutes provide courses in a variety of formats, including full-time, part-time, and online, making it easier for both freshers and professionals to enroll in courses that fit their schedules.

Courses such as the Data Science Certification Marathahalli are particularly popular, providing students with recognized certifications that can enhance their employability. Additionally, the specialized AI and Data Science Course Marathahalli helps individuals get hands-on experience with tools and techniques used in artificial intelligence and machine learning.

Best Data Science Institutes Marathahalli

Marathahalli is home to some of the best Data Science Institutes Marathahalli that provide world-class education and training in data science, analytics, and AI. These institutes are led by industry experts with extensive experience in the field, ensuring that students receive up-to-date knowledge and practical skills. From Python for Data Science Marathahalli to Advanced Data Science Marathahalli, these institutions cater to a wide range of topics, providing tailored learning paths for individuals at different stages of their careers.

For those looking to break into the industry, the Data Science Job-Oriented Course Marathahalli is an excellent option. This course is designed to equip students with the skills required by employers in the industry, such as proficiency in machine learning algorithms, big data technologies, and Python programming.

Machine Learning and Big Data Courses

Machine learning and big data have emerged as the most in-demand skills within the data science field, and Marathahalli is no stranger to this trend. Leading institutes in the area offer specialized courses such as the Machine Learning Course Marathahalli and the Big Data Course Marathahalli to train professionals on how to work with large datasets and implement machine learning algorithms. These courses not only provide theoretical knowledge but also focus on hands-on projects that simulate real-world data science challenges.

Marathahalli’s institutes are equipped with state-of-the-art infrastructure and have partnerships with leading organizations to ensure that students gain access to real-time data and work on cutting-edge technologies. This makes Marathahalli an ideal location for anyone interested in exploring these fast-evolving fields.

Python for Data Science Marathahalli

Python is one of the most widely used programming languages in data science, and Marathahalli offers several training options for those wishing to specialize in Python for data science. Institutes offering Python for Data Science Marathahalli cover essential Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn, providing students with the knowledge needed to perform data analysis, data visualization, and machine learning.

Whether you are a beginner looking to get started with Python or an experienced professional looking to enhance your skills, Marathahalli’s training centers provide structured courses and real-world applications to help you master the language. This expertise is crucial, as Python has become an industry standard for data science and analytics.

AI and Advanced Data Science Courses

Artificial Intelligence (AI) is transforming industries across the globe, and data science professionals with expertise in AI are in high demand. Marathahalli’s AI and Data Science Course Marathahalli equips individuals with the skills necessary to design AI algorithms, work with neural networks, and build intelligent systems that can automate processes. The Advanced Data Science Marathahalli course goes one step further, focusing on complex machine learning techniques such as deep learning, natural language processing, and reinforcement learning.

These advanced courses are ideal for professionals who wish to deepen their knowledge of AI and data science and move into higher-level roles within the industry. Furthermore, these courses offer industry-based projects, which give students valuable experience working with large datasets and AI applications.

Data Science Bootcamp Marathahalli

For individuals looking for an intensive, immersive learning experience, the Data Science Bootcamp Marathahalli offers a fast-paced, hands-on approach to mastering data science skills. These bootcamps are designed to fast-track participants into the workforce by providing them with the knowledge and practical experience they need to succeed in a short period of time.

Bootcamps are ideal for individuals who wish to make a career switch or accelerate their data science journey. With a focus on project-based learning and real-time industry collaboration, the Data Science Bootcamp Marathahalli has become one of the most popular training programs in the region.

Data Science Online Course Marathahalli

For those who prefer to learn at their own pace or are unable to attend in-person classes, Marathahalli offers a range of data science online courses. These courses provide the same high-quality content as in-person classes but allow students the flexibility to learn from anywhere. Whether it’s a Business Analytics Course Marathahalli or a Data Science Program Marathahalli, online courses offer the convenience of learning from the comfort of home while still providing access to the latest tools, resources, and expert guidance.

Data Science Courses with Placement Support

A key factor that makes Marathahalli a top choice for aspiring data scientists is the placement assistance offered by several data science institutes near Marathahalli. Many of these institutes provide career counseling, interview preparation, and direct placement support with leading companies in the tech and analytics industries. The Data Science Courses with Placement Marathahalli help students connect with recruiters and increase their chances of securing a job post-training.

R Programming for Data Science Marathahalli

R programming is another key tool for data analysis and statistical computing, and many Marathahalli institutes offer specialized courses in R Programming for Data Science Marathahalli. These courses focus on the use of R for statistical analysis, data visualization, and modeling. Since R is widely used in academic research, healthcare, and government sectors, mastering it can open up diverse job opportunities.

SQL for Data Science Marathahalli

No data science course is complete without an understanding of databases, and SQL (Structured Query Language) is a fundamental tool for querying and managing data. Institutes in Marathahalli offer comprehensive courses such as SQL for Data Science Marathahalli, which teach students how to interact with databases and extract insights from large datasets. SQL is an essential skill for data professionals, and mastering it can significantly enhance one's career prospects.

Conclusion

Marathahalli is rapidly emerging as a leading destination for data science training and career growth. The area's proximity to major tech hubs, availability of world-class training institutes, and abundance of job opportunities make it an ideal location for aspiring data scientists. Whether you are looking for a specialized Data Science Training Marathahalli program, a Machine Learning Course Marathahalli, or a Data Science Bootcamp Marathahalli, Marathahalli has the resources and infrastructure to help you succeed in the rapidly growing field of data science. The combination of excellent education, strong industry connections, and career support makes it the best place to start or advance your data science journey.

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[amandajohn]

Top 10 Premier Companies in Product and Application Development Services

In today’s digital-first world, businesses increasingly rely on product development services and application development services to remain competitive. Whether it’s a cutting-edge software application or a revolutionary product, choosing the right development partner can make all the difference. From startups looking to launch a new idea to established enterprises seeking to innovate, the following companies are recognized as leaders in the product & application development services industry.

Here’s a list of the top 10 product and application development companies in 2024, with Vee Technologies taking the lead.

1. Vee Technologies

As a global leader in product development outsourcing and application development services, Vee Technologies stands out for its comprehensive approach and dedication to innovation. With a strong emphasis on delivering customer-centric solutions, Vee Technologies has proven expertise in managing complex product development processes across various industries, including healthcare, manufacturing, and technology.

Why Vee Technologies is a Leader:

End-to-End Solutions: From ideation and strategy to product deployment and maintenance, Vee Technologies handles every stage of the product development process.

Diverse Expertise: The company specializes in a wide range of technologies, including cloud computing, artificial intelligence, IoT, and machine learning, making them one of the best in IT application development.

Global Delivery Model: With a strong team of developers and analysts, Vee Technologies provides cost-effective, high-quality solutions through its global delivery network.

Agility and Innovation: The company’s approach emphasizes speed and flexibility, enabling businesses to launch their products faster and more efficiently.

Whether you’re in need of custom software, application development, or outsourced product development, Vee Technologies is a go-to partner for businesses seeking excellence in product & application development services.

2. Accenture

Accenture is a global giant known for providing consulting, technology, and outsourcing services. The company has established itself as one of the best product development companies, leveraging its advanced technology solutions and cross-industry expertise to deliver robust application development services.

Strengths: Agile methodologies, cloud solutions, and extensive application management services.

Global Presence: With offices in over 120 countries, Accenture has the resources to support large-scale product and application development needs.

3. Tata Consultancy Services (TCS)

TCS is one of the most well-known application development services companies in the world. With a vast portfolio that covers industries from financial services to retail, TCS is recognized for its ability to deliver on both product development and IT application development projects.

Focus Areas: AI, machine learning, blockchain, and cloud-based development.

Proven Track Record: TCS has worked with some of the largest companies in the world, offering innovative product and application solutions.

4. Cognizant

Cognizant is a leading player in the application development and digital transformation space. It offers customized solutions that streamline the product development process, enabling businesses to quickly adapt to market changes.

Key Services: Digital product engineering, cloud-native applications, and AI-driven product solutions.

Global Reach: With a robust presence in North America, Europe, and Asia, Cognizant excels in delivering cross-border solutions.

5. Infosys

Infosys is a leader in IT application development and product development services, with a focus on leveraging new technologies to solve real-world problems. Their extensive service offerings include product design, development, and deployment, as well as post-launch support and maintenance.

Innovative Solutions: Infosys uses AI and machine learning to optimize the product development process.

Scalability: Infosys has the capability to support large enterprises with complex development needs, offering both scalability and flexibility.

6. Wipro

Wipro is another major player in the global tech services industry. Known for its robust product development outsourcing model, Wipro provides innovative solutions tailored to specific business requirements.

Key Competencies: Digital product design, cloud solutions, and enterprise application development.

Flexibility: Wipro offers flexible engagement models, including onshore, nearshore, and offshore development.

7. IBM

IBM has been at the forefront of technological innovation for decades. With a focus on AI, cloud computing, and blockchain, IBM continues to be one of the best product development companies in the world.

Strengths: High-end application development, AI-driven product solutions, and cloud-based services.

Long-Term Vision: IBM’s expertise in developing scalable and future-proof applications sets it apart from competitors.

8. Capgemini

Capgemini is a global leader in application development services, providing comprehensive solutions that address the entire product development process. They specialize in helping businesses embrace digital transformation through their advanced software and application development services.

Industry Expertise: Capgemini has deep expertise in industries such as financial services, retail, and healthcare.

Global Delivery Model: The company uses a mix of onshore, nearshore, and offshore development teams to deliver cost-efficient, high-quality solutions.

9. HCL Technologies

HCL Technologies is known for its commitment to innovation in the application development and product development space. It specializes in delivering next-gen applications that are aligned with the business objectives of their clients.

Key Areas: IoT, cloud solutions, digital engineering, and AI-driven application development.

Custom Solutions: HCL tailors its services to meet the specific needs of both startups and established businesses.

10. Tech Mahindra

Tech Mahindra has made a name for itself as a global leader in IT application development and product development services. With a focus on emerging technologies like 5G, AI, and blockchain, the company helps businesses stay ahead of the curve.

Innovation-Driven Approach: The company focuses on delivering products that enable digital transformation.

Post-Development Support: Tech Mahindra offers comprehensive maintenance and support services, ensuring that products continue to deliver value long after launch.

Conclusion

Choosing the right product development and application development partner can make all the difference in your project’s success. The companies listed here are among the best in the world, excelling at everything from product development outsourcing to IT application development. Whether you’re a small startup or a large enterprise, selecting a partner with the right mix of expertise, innovation, and scalability is crucial.

Among the top choices, Vee Technologies stands out for its strong track record in delivering cutting-edge product and application development services. From end-to-end product development processes to custom application development, Vee Technologies’ commitment to excellence makes it a reliable choice for businesses looking to innovate and grow.

When selecting a development partner, consider their technical capabilities, industry experience, communication style, and long-term support. The best product development companies will not only help you launch a product or application but also ensure its success over time with continuous innovation and support.

[aishwaryaanair]

Artificial Intelligence in Healthcare: Revolutionizing the Future of Medicine

Artificial Intelligence (AI) is rapidly transforming healthcare by improving diagnostic accuracy, optimizing treatment protocols, and enhancing patient care. From medical imaging to drug discovery, AI’s capabilities are vast, and its potential applications are only beginning to be explored. As healthcare becomes increasingly data-driven, AI is set to revolutionize the industry by offering faster, more accurate diagnoses, reducing human error, and lowering costs.

The Rise of AI in Healthcare

The use of AI in healthcare is expanding at a rapid pace, with AI-powered tools now being used to assist in diagnosing diseases, predicting patient outcomes, personalizing treatment plans, and even aiding in the discovery of new drugs. By analyzing large datasets, AI systems can identify patterns that might be missed by human practitioners, thus leading to more informed medical decisions.

According to a 2021 report by Accenture, AI in healthcare could save the U.S. healthcare industry over $150 billion (about $460 per person in the US) annually by 2026. This is made possible by the widespread adoption of AI-driven technologies such as machine learning, natural language processing (NLP), and robotics. These advancements are being applied in various areas of healthcare, from clinical trials to patient care management.

AI in Diagnostics and Imaging

One of the most promising areas for AI in healthcare is medical diagnostics and imaging. AI algorithms have demonstrated exceptional performance in identifying diseases from medical images such as X-rays, MRIs, and CT scans. These algorithms can detect anomalies at a level of precision that often surpasses human radiologists.

1. AI in Radiology and Pathology

AI-powered image recognition systems can scan and interpret medical images, providing fast and accurate diagnoses. For example, AI has shown tremendous success in detecting early-stage cancers, such as breast cancer from mammograms or lung cancer from CT scans. Google’s DeepMind has developed an AI model that can diagnose over 50 eye diseases with the same accuracy as world-leading specialists.

This capability not only improves diagnostic accuracy but also reduces the workload for medical professionals, allowing them to focus on more complex cases.

2. Predictive Analytics for Early Disease Detection

AI’s ability to analyze vast amounts of patient data also enables predictive analytics, which helps identify high-risk patients before they exhibit symptoms. By leveraging machine learning algorithms, healthcare systems can predict which patients are most likely to develop chronic conditions like diabetes or heart disease and recommend early interventions. This can dramatically improve patient outcomes and reduce long-term healthcare costs.

AI in Personalized Medicine

Personalized medicine is another area where AI is making a significant impact. With AI, healthcare providers can create individualized treatment plans tailored to a patient’s unique genetic makeup, lifestyle, and medical history. This is particularly important in fields like oncology, where treatments often vary based on the specific genetic mutations associated with a patient’s cancer.

1. Genomics and Precision Medicine

AI is being used to analyze genomic data to identify mutations and predict how individual patients will respond to different treatments. In cancer treatment, for example, AI can analyze a patient’s genetic profile and suggest targeted therapies that are more likely to be effective. This not only increases the likelihood of successful outcomes but also minimizes harmful side effects.

2. Drug Discovery and Development

AI is also accelerating the drug discovery process, a traditionally lengthy and expensive endeavor. By using AI algorithms to analyze large datasets of molecular structures, chemical compounds, and clinical trial data, pharmaceutical companies can identify potential drug candidates much faster than traditional methods.

For example, BenevolentAI, a UK-based company, uses AI to streamline drug discovery by analyzing massive datasets to find new drug candidates for various diseases, including COVID-19. AI reduces the time and cost of bringing new drugs to market, providing more rapid solutions for patients in need.

AI in Healthcare Operations

Beyond direct patient care, AI is revolutionizing how healthcare organizations operate. AI-powered systems can automate administrative tasks, manage patient data, and optimize the supply chain, ultimately improving efficiency across healthcare institutions.

1. Robotic Process Automation (RPA) in Hospitals

Hospitals are increasingly using Robotic Process Automation (RPA) to automate administrative tasks such as scheduling, billing, and inventory management. This frees up time for healthcare staff to focus on providing better patient care. AI-enabled chatbots are also being used to manage patient inquiries and provide 24/7 support, improving patient experience while reducing the workload on administrative teams.

2. AI in Healthcare Workforce Management

Challenges and Ethical Considerations in AI Healthcare

While AI offers enormous potential in healthcare, it also raises several challenges and ethical concerns. One major challenge is ensuring the accuracy and reliability of AI algorithms, especially when dealing with sensitive medical data. A misdiagnosis by an AI system could have serious consequences for patient safety.

1. Data Privacy and Security

The use of AI in healthcare relies heavily on patient data, raising concerns about privacy and security. Ensuring that AI systems comply with data protection regulations like HIPAA (Health Insurance Portability and Accountability Act) is critical. Healthcare organizations must invest in robust security measures to protect sensitive patient information from breaches.

2. Bias in AI Algorithms

AI algorithms are only as good as the data they are trained on. If the training data contains biases, the AI system can perpetuate those biases in its predictions, leading to unequal treatment outcomes. For instance, an AI system trained on predominantly male or white patient data may not perform as well for women or people of color. Ensuring diversity and fairness in AI training data is an ongoing challenge for developers.

Recommended Courses to Learn AI in Healthcare

As AI continues to transform healthcare, there is a growing need for professionals who understand how to apply AI technologies in medical contexts. Below are some recommended courses that can help you gain the skills needed to thrive in this exciting field:

AI+ Healthcare™ by AI Certs

Overview: This course covers the ethical and educational considerations of AI, including education, security, and ethics in AI algorithms. It’s designed for healthcare professionals and data scientists looking to implement AI responsibly in their organizations.

Link: AI+ Healthcare™ by AI Certs

Use the coupon code NEWCOURSE25 to get 25% OFF on AI CERTS’ certifications. Don’t miss out on this limited-time offer! Visit this link to explore the courses and enroll today.

AI for Medicine by Coursera (Offered by DeepLearning.AI)

Overview: This course teaches how AI can be applied in medical imaging, diagnosis, and personalized treatment. It’s perfect for healthcare professionals looking to develop AI skills to improve patient care.

Link: AI for Medicine by Coursera

Healthcare AI: Data Science & Machine Learning for Medical AI by Udemy

Overview: This course focuses on how AI and machine learning are applied in healthcare, covering topics such as predictive analytics, patient monitoring, and medical image analysis.

Link: Healthcare AI by Udemy

AI in Healthcare Specialization by Coursera (Offered by Stanford University)

Overview: This course provides a comprehensive introduction to AI technologies in healthcare, covering topics such as machine learning, deep learning, and healthcare analytics.

Link: AI in Healthcare Specialization by Coursera

Conclusion

Artificial Intelligence is poised to revolutionize healthcare by improving diagnostic accuracy, personalizing treatment, and optimizing healthcare operations. However, with this transformation comes a set of ethical challenges that need to be addressed, particularly around data privacy and algorithmic bias. For professionals looking to enter this rapidly evolving field, acquiring skills in AI is essential.

Courses like AI Certs’ AI+ Ethics™, along with other programs offered by Coursera and Udemy, provide the foundational knowledge and practical skills needed to navigate the intersection of AI and healthcare. By embracing AI technologies, healthcare professionals can deliver better patient outcomes, streamline operations, and usher in a new era of medical innovation.

[health-views-updates]

Pharmacovigilance Market Forecast: Future Trends and Insights

Pharmacovigilance Market Outlook, Scope & Overview:

Industry reports indicate that the global pharmacovigilance market was valued at USD 7.20 billion in 2023 and is projected to reach USD 18.52 billion by 2032, growing at a CAGR of 11.09% over the forecast period 2024-2032.

Technological Advancements to Drive Growth of Global Pharmacovigilance Market

The adoption of advanced pharmacovigilance solutions will continue to influence global market revenues. Pharmaceutical companies and regulatory agencies are increasingly utilizing pharmacovigilance systems to ensure drug safety, monitor adverse drug reactions (ADRs), and comply with regulatory requirements.

As a service segment, outsourced pharmacovigilance currently holds a significant share of the global pharmacovigilance market. This segment is anticipated to grow at a year-over-year rate of 11.09% in 2024 over 2023 and reach USD 18.52 billion in revenues by 2032. The increasing complexity of drug safety regulations, coupled with advancements in data analytics and real-world evidence, is expected to drive market growth.

Get a Free Sample Report: https://www.snsinsider.com/sample-request/3035 

Pharmacovigilance Solutions – Market Dynamics

Drivers:

Pharmacovigilance solutions are witnessing significant growth in the global market due to the rising need for effective drug safety monitoring, risk management, and regulatory compliance. The growing trend of outsourcing pharmacovigilance activities, the increasing number of adverse drug reactions, and the expansion of clinical trials globally are key factors driving the adoption of pharmacovigilance solutions worldwide. Additionally, advancements in artificial intelligence (AI) and machine learning (ML) technologies are further propelling market growth by enhancing the efficiency and accuracy of pharmacovigilance processes.

Restraints:

Despite the growth potential, challenges such as the high cost of pharmacovigilance systems, the complexity of managing large volumes of data, and the need for specialized expertise are hindering the widespread adoption of pharmacovigilance solutions. Moreover, concerns about data privacy and the regulatory burden associated with pharmacovigilance activities pose additional challenges to market expansion.

Pharmacovigilance Solutions – Market Outlook

The proven benefits of pharmacovigilance solutions in ensuring drug safety, preventing adverse drug reactions, and facilitating regulatory approvals have contributed to the market's growth. Pharmacovigilance solutions are expected to witness increased adoption across major pharmaceutical markets, including North America, Europe, and Asia Pacific, driven by the growing emphasis on patient safety and the increasing regulatory scrutiny of drug safety.

Global Pharmacovigilance Market

The rise in demand for pharmacovigilance solutions in developed and emerging markets is expected to drive market growth over the forecast period. North America currently holds a significant market share in the global pharmacovigilance market, with the US being a key contributor to market revenues. Europe and Asia Pacific regions are also experiencing rapid adoption of pharmacovigilance solutions, supported by favorable regulatory frameworks and increasing investments in drug safety monitoring.

Key Players in the Pharmacovigilance Solutions Market

Leading companies in the pharmacovigilance solutions market include IQVIA, PAREXEL International Corporation, Covance Inc., and Accenture. These companies are at the forefront of providing advanced pharmacovigilance services and technologies for various stages of drug development and post-market surveillance.

In conclusion, the global pharmacovigilance market is poised for substantial growth over the forecast period, driven by technological advancements, increasing pharmaceutical safety concerns, and the expanding adoption of pharmacovigilance solutions across diverse pharmaceutical and biotechnology settings.

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[govindhtech]

NVIDIA AI Foundry Custom Models NeMo Retriever microservice

How Businesses Can Create Personalized Generative AI Models with NVIDIA AI Foundry.

NVIDIA AI Foundry

Companies looking to use  AI need specialized Custom models made to fit their particular sector requirements.

With the use of software tools, accelerated computation, and data, businesses can build and implement unique models with NVIDIA  AI Foundry, a service that may significantly boost their generative AI projects.

Similar to how TSMC produces chips made by other firms, NVIDIA AI Foundry offers the infrastructure and resources needed by other businesses to create and modify AI models. These resources include DGX Cloud, foundation models, NVIDIA NeMo software, NVIDIA knowledge, ecosystem tools, and support.

The product is the primary distinction: NVIDIA AI Foundry assists in the creation of Custom models, whereas TSMC manufactures actual semiconductor chips. Both foster creativity and provide access to a huge network of resources and collaborators.

Businesses can use AI Foundry to personalise NVIDIA and open Custom models models, such as NVIDIA Nemotron, CodeGemma by Google DeepMind, CodeLlama, Gemma by Google DeepMind, Mistral, Mixtral, Phi-3, StarCoder2, and others. This includes the recently released Llama 3.1 collection.

AI Innovation is Driven by Industry Pioneers

Among the first companies to use NVIDIA AI Foundry are industry leaders Amdocs, Capital One, Getty Images, KT, Hyundai Motor Company, SAP, ServiceNow, and Snowflake. A new era of AI-driven innovation in corporate software, technology, communications, and media is being ushered in by these trailblazers.

According to Jeremy Barnes, vice president of AI Product at ServiceNow, “organizations deploying AI can gain a competitive edge with Custom models that incorporate industry and business knowledge.” “ServiceNow is refining and deploying models that can easily integrate within customers’ existing workflows by utilising NVIDIA AI Foundry.”

The NVIDIA AI Foundry’s Foundation

The foundation models, corporate software, rapid computing, expert support, and extensive partner ecosystem are the main pillars that underpin NVIDIA AI Foundry.

Its software comprises the whole software platform for expediting model building, as well as AI foundation models from NVIDIA and the  AI community.

NVIDIA DGX Cloud, a network of accelerated compute resources co-engineered with the top public clouds in the world Amazon Web Services, Google  Cloud, and Oracle  Cloud Infrastructure is the computational powerhouse of NVIDIA  AI Foundry. Customers of AI Foundry may use DGX Cloud to grow their AI projects as needed without having to make large upfront hardware investments.

They can also create and optimize unique generative AI applications with previously unheard-of ease and efficiency. This adaptability is essential for companies trying to remain nimble in a market that is changing quickly.

NVIDIA AI Enterprise specialists are available to support customers of NVIDIA AI Foundry if they require assistance. In order to ensure that the models closely match their business requirements, NVIDIA experts may guide customers through every stage of the process of developing, optimizing, and deploying their models using private data.

Customers of NVIDIA AI Foundry have access to a worldwide network of partners who can offer a comprehensive range of support. Among the NVIDIA partners offering AI Foundry consulting services are Accenture, Deloitte, Infosys, and Wipro. These services cover the design, implementation, and management of AI-driven digital transformation initiatives. Accenture is the first to provide the Accenture AI Refinery framework, an AI Foundry-based solution for creating Custom models.

Furthermore, companies can get assistance from service delivery partners like Data Monsters, Quantiphi, Slalom, and SoftServe in navigating the challenges of incorporating AI into their current IT environments and making sure that these applications are secure, scalable, and in line with business goals.

Using AIOps and MLOps platforms from NVIDIA partners, such as Cleanlab, DataDog, Dataiku, Dataloop, DataRobot, Domino Data Lab, Fiddler AI, New Relic, Scale, and Weights & Biases, customers may create production-ready NVIDIA AI Foundry models.

Nemo retriever microservice

Clients can export their AI Foundry models as NVIDIA NIM inference microservices, which can be used on their choice accelerated infrastructure. These microservices comprise the Custom models, optimized engines, and a standard API.

NVIDIA TensorRT-LLM and other inferencing methods increase Llama 3.1 model efficiency by reducing latency and maximizing throughput. This lowers the overall cost of operating the models in production and allows businesses to create tokens more quickly. The NVIDIA  AI Enterprise software bundle offers security and support that is suitable for an enterprise.

Along with cloud instances from Amazon Web Services, Google Cloud, and Oracle  Cloud Infrastructure, the extensive array of deployment options includes NVIDIA-Certified Systems from worldwide server manufacturing partners like Cisco, Dell, HPE, Lenovo, and Supermicro.

Furthermore, Together  AI, a leading cloud provider for AI acceleration, announced today that it will make Llama 3.1 endpoints and other open models available on DGX  Cloud through the usage of its NVIDIA GPU-accelerated inference stack, which is accessible to its ecosystem of over 100,000 developers and businesses.

According to Together AI’s founder and CEO, Vipul Ved Prakash, “every enterprise running generative AI applications wants a faster user experience, with greater efficiency and lower cost.” “With NVIDIA DGX Cloud, developers and businesses can now optimize performance, scalability, and security by utilising the Together Inference Engine.”

NVIDIA NeMo

NVIDIA NeMo Accelerates and Simplifies the Creation of Custom Models

Developers can now easily curate data, modify foundation models, and assess performance using the capabilities provided by NVIDIA NeMo integrated into AI Foundry. NeMo technologies consist of:

A GPU-accelerated data-curation package called NeMo Curator enhances the performance of generative AI models by preparing large-scale, high-quality datasets for pretraining and fine-tuning.

NeMo Customizer is a scalable, high-performance microservice that makes it easier to align and fine-tune LLMs for use cases specific to a given domain.

On any accelerated cloud or data centre, NeMo Evaluator offers autonomous evaluation of generative AI models across bespoke and academic standards.

NeMo Guardrails is a dialogue management orchestrator that supports security, appropriateness, and correctness in large-scale language model smart applications, hence offering protection for generative AI applications.

Businesses can construct unique AI models that are perfectly matched to their needs by utilising the NeMo platform in NVIDIA AI Foundry.

Better alignment with strategic objectives, increased decision-making accuracy, and increased operational efficiency are all made possible by this customization.

For example, businesses can create models that comprehend industry-specific vernacular, adhere to legal specifications, and perform in unison with current processes.

According to Philipp Herzig, chief  AI officer at SAP, “as a next step of their partnership, SAP plans to use NVIDIA’s NeMo platform to help businesses to accelerate AI-driven productivity powered by SAP Business  AI.”

NeMo Retriever

NeMo Retriever microservice

Businesses can utilize NVIDIA NeMo Retriever NIM inference microservices to implement their own AI models in a live environment. With retrieval-augmented generation (RAG), these assist developers in retrieving private data to provide intelligent solutions for their AI applications.

According to Baris Gultekin, Head of AI at Snowflake, “safe, trustworthy AI is a non-negotiable for enterprises harnessing generative AI, with retrieval accuracy directly impacting the relevance and quality of generated responses in RAG systems.” “NeMo Retriever, a part of NVIDIA AI Foundry, is leveraged by Snowflake Cortex AI to further provide enterprises with simple, reliable answers using their custom data.”

Custom Models

Custom Models Provide a Competitive Edge

The capacity of NVIDIA AI Foundry to handle the particular difficulties that businesses encounter while implementing AI is one of its main benefits. Specific business demands and data security requirements may not be fully satisfied by generic AI models. On the other hand, Custom models are more flexible, adaptable, and perform better, which makes them perfect for businesses looking to get a competitive edge.

Read more on govindhtech.com

[andyupdates]

In 2024, Adobe consulting firms play a crucial role in helping businesses implement and leverage Adobe solutions like Experience Cloud, Creative Cloud, and Document Cloud. They offer expertise in setting up software, ensuring integrations, and guiding businesses through Adobe products.

Top 7 Adobe Consulting Companies in 2024

Here are some of the leading Adobe consulting firms to consider:

Xerago: Specializes in Adobe Experience Cloud, offering expertise in integrating various modules for personalized customer experiences.

Accenture: Provides a comprehensive approach, guiding businesses through every stage of digital transformation with Adobe solutions.

Cognizant: Offers deep industry knowledge and leverages agile methodologies for customized solutions with Adobe technology.

Infosys: Specializes in various Adobe Experience Cloud solutions and focuses on understanding clients' unique needs for tailored results.

Wipro: Possesses deep domain knowledge and technical proficiency to prioritize customer experience across all touchpoints using Adobe solutions.

Ranosys: Specializes in using Adobe products to create effective digital solutions across different channels.

Emizentech: Experts in AEM-based digital experiences, offering recommendations, guidance, and UI/UX design for websites.

[researchanalysts]

Oil and Gas Analytics Market Report 2024: Boost Operational Efficiency with Leading Future-Proof Your Energy Business

The Oil and Gas Analytics Market is Valued USD 7.8 billion in 2024 and is projected to reach USD 48.3 billion by 2032, growing at a CAGR of 22.4% During the Forecast period of 2024–2032.

  The researcher studies the global Oil and Gas Analytics market to address the issues in existing businesses. The study throws light on the recent trends, technologies, methodologies, and tools, which can boost the performance of companies.

The report presents an overview of the market with the production of the cost, dispatch, application, use volume, and arrangement. The Oil and Gas Analytics research report offers significant bits of information into the business focus from the early stage including some steady techniques chalked out by perceptible market pioneers to develop a strong foothold and development in the business.

Key Companies in the Global Oil and Gas Analytics Market Accenture, Cisco Systems, EMC Corporation, Hewlett-Packard, IBM Corporation, Microsoft Corporation, Oracle, SAP AG, SAS Institute and Teradata.

Request Our Market Overview Sample Now — https://www.marketdigits.com/request/sample/197

Key Report Highlights: The report has been put together using primary and secondary research methodologies, which offer an accurate and precise understanding of the Oil and Gas Analytics market. Analysts have used a top-down and bottom-up approach to evaluate the segments and provide a fair assessment of their impact on the global Oil and Gas Analytics market. The report offers an overview of the market, which briefly describes the market condition and the leading segments.

Inquire Before Buying at — https://www.marketdigits.com/request/enquiry-before-buying/197

The Purpose of This Report Is to Provide: ➥ A qualitative and quantitative analysis of the Oil and Gas Analytics market of current trends, dynamics, and estimates from 2024 to 2032. Ultimately, this Oil and Gas Analytics report will help save you time and money by providing unbiased information under one roof. ➥ The in-depth market segmentation analysis helps to identify the prevailing market opportunities. ➥ Analytical tools such as SWOT analysis and Porter’s Five Forces analysis are used to explain the power of Oil and Gas Analytics buyers and suppliers, make profit-oriented decisions and strengthen their business.

Key Segments of the Oil and Gas Analytics Market Include:

By Deployment: - On-premises - Hosted

By Application: - Upstream - Midstream - Downstream

By Service: - Professional - Cloud - Integration

Compelling Reasons to Purchase This Report: ➥ A study of the developing competitive landscape is provided. It provides analytical data along with strategic planning so that firms may make well-informed decisions. ➥ It provides a seven-year analysis of the Oil and Gas Analytics Market. ➥ It facilitates comprehension of the most important product categories. Researchers shed light on the market’s dynamics, including its potential, trends, drivers, and constraints. ➥ It provides a business profile of various stakeholders in addition to a regional analysis of the Oil and Gas Analytics Market. ➥ It provides a wealth of information about popular trends that may affect the development of the Oil and Gas Analytics Market.

Click to Request Free 10% Customization on this Report @ https://www.marketdigits.com/request/customization/197

Key Topics Covered:

1. Preface 2. Research Methodology 3. Executive Summary 4. Market Overview 5. Market Insights 6. Oil and Gas Analytics Market, by Molecule Type 7. Oil and Gas Analytics Market, by Lines of Chemotherapy 8. Oil and Gas Analytics Market, by Route of Administration 9. Americas Oil and Gas Analytics Market 10. Asia-Pacific Oil and Gas Analytics Market 11. Europe, Middle East & Africa Oil and Gas Analytics Market 12. Competitive Landscape 13. Competitive Portfolio

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[tatatechnologies]

Software Defined Vehicles (SDV) — Shift in Vehicle Cybersecurity

This evolution enhances safety, comfort, and connectivity features, providing a richer and more personalized driving experience. Unlike hardware functionally defined traditional vehicles, SDVs can be updated over the air (OTA), enabling continuous enhancements and the addition of new functionalities and security measures without needing physical changes. The market for SDVs is expected to reach an impressive USD 210.88 billion by 2032, highlighting the opportunity for OEMs to transform the automotive industry.

The transition to SDVs offers multiple benefits, including the simplification of vehicle architectures and a reduction in manufacturing costs. These improvements are made possible by optimizing electrical and electronic layouts and adopting High-Performance Computing (HPC) to eliminate outdated wiring and Electronic Control Units (ECUs). This technological leap forward is set to fuel innovation in creating connected, intelligent, self-driving electric vehicles. Furthermore, the introduction of vehicle operating systems and open API interfaces allows manufacturers to unlock new revenue streams through the provision of additional services. SDVs also promise to enhance the driving experience through regular software updates and the use of cloud-based virtual target units (ECU~HPC) for software (function/features) developments and validation tools to speed up the time to market for new vehicle features.

The shift towards SDVs transforms the cybersecurity landscape from focusing solely on physical components and basic electronic interfaces to addressing a broader spectrum of digital threats. The complexity of SDVs, potentially comprising over 100 million lines of code, and their integration into the Internet of Things (IoT), exposes them to various cyber threats. These include data breaches, remote hijacking, and vulnerabilities affecting software updates, and vehicle sensors. Open APIs, backend systems as well as customer privacy and connected devices in SDVs also need robust cybersecurity frameworks that cover both their hardware and software aspects.

The balancing act between ensuring robust security measures and maintaining user privacy becomes a critical issue that demands thoughtful consideration. This shift necessitates a comprehensive approach to security, focusing on the entire ecosystem, including the vehicle’s software, data privacy, and secure communication channels. The scarcity of skilled professionals who can effectively implement and manage cybersecurity measures for SDVs further aggravates these critical challenges.

In response, automakers are adopting best practices from the software industry, like DevSecOps and closed-loop security processes, which integrate security at the initial stages of development. The vision of transforming vehicles into “computers on wheels” involves deploying real-time software updates to address vulnerabilities swiftly. Advanced artificial intelligence (AI) and machine learning (ML) algorithms are being utilized to predict and prevent security breaches effectively. Continuous monitoring and quick response to security incidents are crucial in protecting both the vehicle and user data from unauthorized access and misuse, ensuring privacy and compliance with data protection regulations.

Looking ahead, Accenture’s estimate that revenue from digitally-enabled services in the automotive sector will rise to US$3.5 trillion by 2040 brings to the fore the importance of SDVs. The journey towards fully realizing the potential of Software Defined Vehicles hinges on successfully navigating the complex landscape of vehicle cybersecurity. It requires a multifaceted strategy that incorporates security within the design, in-depth defence protocols, continuous risk management processes, and a comprehensive cybersecurity management system at the business level.

The automotive industry is being redefined by vehicle cybersecurity as it progresses rapidly towards software-defined vehicles that enhance user security and data privacy. This shift will ultimately usher in a new era of automotive excellence and digital intelligence.

Original source: https://www.tatatechnologies.com/media-center/software-defined-vehicles-sdv-shift-in-vehicle-cybersecurity/

Jhenu Subramaniam, Cybersecurity Solutions Architect at Tata Technologies

[mariacallous]

A month ago, the consulting company Accenture presented a potential client an unusual and attention-grabbing pitch for a new project. Instead of the usual slide deck, the client saw deepfakes of several real employees standing on a virtual stage, offering perfectly delivered descriptions of the project they hoped to work on.

“I wanted them to meet our team,” says Renato Scaff, a senior managing director at Accenture who came up with the idea. “It’s also a way for us to differentiate ourselves from the competition.”

The deepfakes were generated—with employees’ consent—by Touchcast, a company Accenture has invested in that offers a platform for interactive presentations featuring avatars of real or synthetic people. Touchcast’s avatars can respond to typed or spoken questions using AI models that analyze relevant information and generate answers on the fly.

“There’s an element of creepy,” Scaff says of his deepfake employees. “But there’s a bigger element of cool.”

Deepfakes are a potent and dangerous weapon of disinformation and reputational harm. But that same technology is being adopted by companies that see it instead as a clever and catchy new way to reach and interact with customers.

Those experiments aren’t limited to the corporate sector. Monica Arés, executive director of the Innovation, Digital Education, and Analytics Lab at Imperial College Business School in London, has created deepfakes of real professors that she hopes could be a more engaging and effective way to answer students’ questions and queries outside of the classroom. Arés says the technology has the potential to increase personalization, provide new ways to manage and assess students, and boost student engagement. “You still have the likeness of a human speaking to you, so it feels very natural,” she says.

As is often the case these days, we have AI to thank for this unraveling of reality. It has long been possible for Hollywood studios to copy actors’ voices, faces, and mannerisms with software, but in recent years AI has made similar technology widely accessible and virtually free. Besides Touchcast, companies including Synthesia and HeyGen offer businesses a way to generate avatars of real or fake individuals for presentations, marketing, and customer service.

Edo Segal, founder and CEO of Touchcast, believes that digital avatars could be a new way of presenting and interacting with content. His company has developed a software platform called Genything that will allow anyone to create their own digital twin.

At the same time, deepfakes are becoming a major concern as elections loom in many countries, including the US. Last month, AI-generated robocalls featuring a fake Joe Biden were used to spread election disinformation. Taylor Swift also recently became a target of deepfake porn generated using widely available AI image tools.

“Deepfake images are certainly something that we find concerning and alarming,” Ben Buchanan, the White House Special Adviser for AI, told WIRED in a recent interview. The Swift deepfake “is a key data point in a broader trend which disproportionately impacts women and girls, who are overwhelmingly targets of online harassment and abuse,” he said.

A new US AI Safety Institute, created under a White House executive order issued last October, is currently developing standards for watermarking AI-generated media. Meta, Google, Microsoft, and other tech companies are also developing technology designed to spot AI forgeries in what is becoming a high-stakes AI arms race.

Some political uses of deepfakery, however, highlight the dual potential of the technology.

Imran Khan, Pakistan’s former prime minister, delivered a rallying address to his party’s followers last Saturday despite being stuck behind bars. The former cricket star, jailed in what his party has characterized as a military coup, gave his speech using deepfake software that conjured up a convincing copy of him sitting behind a desk and speaking words that he never actually uttered.

As AI-powered video manipulation improves and becomes easier to use, business and consumer interest in legitimate uses of the technology is likely to grow. The Chinese tech giant Baidu recently developed a way for users of its chatbot app to create deepfakes for sending Lunar New Year greetings.

Even for early adopters, the potential for misuse isn’t entirely out of mind. “There’s no question that security needs to be paramount,” says Accenture’s Scaff. “Once you have a synthetic twin, you can make them do and say anything.”

[brilworks]

Top 6 Healthcare Trends to Watch in 2023 and Beyond

The healthcare industry is evolving, and it is important to stay up-to-date on the latest trends. The year 2023 brings forth an array of transformative healthcare trends that shape the future of medical practices and patient care.

We are observing a surge in personalized medicine, online pharmacy, virtual care, and many others, transforming the healthcare industry. These trends have paved the way for precision medicine, where treatments are tailored to individual patients based on their genetic makeup and specific health needs.

Also, AI-powered healthcare tools are empowering healthcare providers with advanced diagnostic capabilities and improved patient outcomes. While it is still in its early stages, it has the potential to revolutionize healthcare.

Online pharmacies are a recent and popular example, which shows the growing influence of technology in the healthcare sector. The online pharmacy market emerged a few years ago and is projected to surpass $261.684 billion by 2030.

Due to the emergence of AI(artificial intelligence), the industry is poised to undergo further changes in the upcoming years.

These trends include a range of advancements, such as remote and virtual care, the integration of artificial intelligence, patient engagement solutions, EHR software, and the utilization of healthcare data intelligence. These developments have the potential to reshape the way the healthcare industry operates.

Let’s take a closer look at some of the most innovative healthcare technologies that are being developed right now.

1. Telehealth

The COVID-19 pandemic played a significant role in accelerating the adoption of telehealth, which led to improved patient care. And the advancement of mobile /laptop devices has propelled telehealth’s rapid growth and adoption further.

Telehealth involves communication technology to engage with patients virtually. Furthermore, it allows patients to connect with healthcare professionals without leaving their premises, providing a convenient option for patients and doctors.

Furthermore, it significantly lower costs as healthcare institutions no longer need to invest in setting up physical resources, and healthcare professionals can enjoy increased flexibility and enhanced communication experiences. This mutually beneficial arrangement contributes to telehealth’s rising adoption and continued growth.

Benefits

Improved patient care through virtual engagement

Convenient access to healthcare from the comfort of home

Rapid growth and adoption due to advancements in mobile devices

Cost-effective alternative for healthcare institutions

Increased flexibility and enhanced communication for healthcare professionals

2. Internet of Medical Things (IoMT)

IoMT is a network of smartphones, wearables, and sensors that allows remote patient monitoring. These intelligent devices enable machine-to-machine communication that reduces the burden on healthcare providers. They can send your health and fitness data as per given instructions to make informed decisions.

As a result, many corporations are investing significant resources and capital into developing healthcare solutions, leading to the proliferation of wearable devices and integrated health applications within smartphones.

IoMT has the potential to replace the traditional way of monitoring healthcare as it dramatically enhances the monitoring experience.

Benefits

Real-time monitoring

Automated health report

Reduced costs

Remote assistance

3. Patient Engagement Market Solution

According to Accenture’s report, a majority of people have shown keen interest in technology-based digital solutions. This interest is particularly evident in the increasing popularity of technology-driven patient engagement solutions.

The market for digital patient engagement solutions is projected to experience a compound annual growth rate (CAGR) of 20.3% between 2021 and 2030. This signifies the widespread acceptance and adoption of these tools in the market.

Patient engagement solutions encompass various aspects of patients’ information management, including schedules and appointments. And, these tools can go the extra mile by delivering personalized content to educate patients. Not only do they serve as marketing tools, but they also play a crucial role in maintaining patients’ data and information.

Benefits

Automated appointment scheduling

Personalized content marketing

Effective communication with patients

Efficient data management of patients

Read more trends at https://www.brilworks.com/blog/healthcare-trends-to-watch/

[loyaltyexpert]

5 Proven Ways to Manage Your Loyalty Programs

Would you be surprised to know that poor management is one of the major reasons for loyalty programs failure? You shouldn’t. If you take a look at some of the successful loyalty programs that didn’t do well as expected, you will find that poor management is among the biggest causes behind the dismal performance.

5 Proven Ways for Loyalty Program Management

Here are five proven ways for effective loyalty program management:

Define your goals

Understand your customers

Keep your loyalty programs simple and user-friendly

Focus on regular communication and engagement with members

Focus on regular evaluation and improvement

However, with proper planning, strategies, and partnership with the right loyalty partner, managing loyalty programs is easy. This blog post describes five proven practices to manage loyalty programs.

1. Define your goals

Defining goals is the first step that’ll help you turn your wants and desires into reality. Whether acquiring new customers, retaining them for a long time, raking in more sales, and registering more revenue, achieving all these will be easy when you set well-defined goals for your loyalty programs. While setting concrete goals for your loyalty programs, keep these in mind:

Have a long-term and short-term marketing strategy in place:

When creating strategies for a loyalty program, focus on long-term endeavours for three to five years. Also, have a one-year marketing strategy for your short-term goals.

Define your Key Performance Indicators (KPIs):

To define KPIs for your loyalty program, you should identify specific metrics aligned with team member objectives. The KPIs could include new customer acquisition rate, customer retention rate, sales revenue, customer satisfaction score, and average transaction value. Make sure the KPIs are relevant, measurable, and achievable.

Assign operational activities:

After defining KPIs, it’s time to assign operational tasks for the loyalty program team. While doing that, be fair and identify the unique talents of each team member. Assign tasks based on team members’ expertise and strengths. Encourage open communication and collaboration among team members so that they can uninhibitedly contribute their ideas and insights.

Determine the frequency and form of KPI reporting:

The last but most important point in the goal-setting stage is to determine the frequency and form of reporting progress on the KPIs. How often are you going to report the progress? Monthly or quarterly? Apart from that, allocate time to reflect and evaluate the results as well as identify areas for improvement.

2. Understand your customers

After defining goals, the next step is to understand your customers so that you can what they like and dislike as well as what’re their preferences and motivations. The best way to understand your customers is to conduct:

Market research

Surveys

Interviews

Social media analysis

Purchase history

Direct feedback

Now the question comes “Would customers readily give their data to businesses for better loyalty programs?” The answer is a resounding yes. As per a new Accenture study, eight out of every ten respondents are ready to share their data with brands if they get personalized experiences.

3. Keep your loyalty programs simple and user-friendly

There is great power in simplicity. To achieve the ultimate sophistication in your loyalty programs, keep things simple, realistic, and user-friendly. The advent of modern technology has made digital loyalty programs far simpler and easier compared to traditional loyalty programs.

4. Focus on regular communication and engagement with members

Effective communication is the ticket to success. When it comes to ensuring the success of loyalty programs, nothing can beat the power of regular communication and engagement with loyalty program members through various channels.

5. Focus on regular evaluation and improvement

After completing all the above steps, identify areas of improvement and make the required adjustments to boost your loyalty program’s user-friendliness and simplicity. If continuous improvement is your game plan, then nothing can stop your loyalty programs from being successful.

All in all,

The difference between successful loyalty programs and unsuccessful ones is the way they’re managed. When businesses manage their B2B and B2C loyalty programs in the best possible manner, then nothing can stop them from retaining their existing customers and attracting new ones.

If you are looking for a reputable and trustworthy loyalty partner not just to develop high-quality loyalty programs but manage them as efficiently as possible, then contact our team for a free demo

This blog is already posted here.

[earaercircular]

Technologies that close the loop

Thanks to technology, the new economy is leaving behind the production model of linear cutting.

The cloud, 'big data', 3D printing, robotics, augmented reality or the internet of things increase the flexibility of industrial processes and the efficiency in the use of resources such as energy or raw materials

Extract, produce and consume. This has been the basis of the linear economic model on which modern life has been forged, but which has proven to be unsustainable due to the overexploitation of natural resources, the pollution it generates and the waste it leaves behind. Today, however, in the midst of the technological revolution (with tools that make it possible to measure, quantify, evaluate, predict and obtain any type of information) the world is giving way to a different approach to doing things, in which resources and materials circulate constantly throughout the value chain. The concept revolves around reuse, recycle and reduce.

This new model is called circular economy. A trend that is on the lips of all companies worldwide and that has gained strength thanks to the development of new technologies that enable the creation of more sustainable business models. In Spain, 82% of the companies have some kind of commitment to this process, according to a survey conducted by Accenture[1] among 100 firms and associations from different fields. And on this path, research and innovation play a key role. “Technologies such as artificial intelligence, blockchain (chain of blocks), the Internet of Things (IoT) and cloud computing (cloud) facilitate the transition towards a more efficient use of resources” , explains Eva Barteková, an expert in circular economy at the Organization for Economic Cooperation and Development (OECD).

“Imagination is the accelerator of innovation”, abounds Emma Elobeid, of the Ellen MacArthur Foundation[2]. “It is essential if we want to solve big problems such as climate change, waste management and pollution”, highlights the expert from this organisation that promotes the new production model. And it is in the industry (from energy and the automobile sector to food and construction) where great changes are taking place in this regard. For example, the blockchain has become an ideal tool for identifying and monitoring materials and components throughout a supply chain so that they can be reused, remanufactured, recycled, or composted. Proof of this is Suez[3], the water and waste management company, that has developed a system based on the chain of blocks with which it records all the stages involved in the treatment of wastewater that is destined for agricultural soils.

The tool (Circular Chain)[4] enabes the different actors (producers, transporters, treatment centres and recyclers) to exchange information on the composition of waste and its treatment. In this way, everyone involved independently oversees the process from start to finish. This traceability of organic matter guarantees both producers of sludge (a mixture between liquid and solid, separated from wastewater) and farmers more control over what is dumped on agricultural fields. Technology does not stop there, but also reaches various sectors such as fashion. For example, Teemill[5], an e-commerce platform, uses blockchain in the creation of sustainable products.

Teemill allows users to set up their own online stores and customize products like t-shirts, hoodies, and bags using their own or predefined designs. Blockchain gives greater transparency to the entire supply chain. Each product created and sold on the platform has a QR code that allows consumers to know the origin of the materials and processes. Ready-made products are designed to be returned when worn or no longer wanted by the customer. In addition, natural materials and renewable energies are used in all processes.

AI in industry

Artificial intelligence is also entering the industry with force. In the market, various companies use this innovation to automatically classify and separate various types of materials, as does the Spanish company Picvisa.[6] This firm has developed a waste separation system based on artificial vision.[7] Its equipment has high-resolution cameras and machine learning algorithms that help distinguish and classify materials based on their physical characteristics. Thus, the waste from a factory is divided into categories: plastics, glass, metals and paper, which facilitates the recovery of resources. “The circular economy, in addition to greater security in the supply chain, presents numerous opportunities for companies, such as the emergence of new lines of business and services, as well as a reduction in inputs and raw materials, a reuse of the waste produced and lower management costs thereof”, reads the Spanish Circular Economy Strategy (España Circular 2030)[8], a roadmap drawn up by the central government, which marks the path towards a model that is kinder to the environment. The European Commission indicates that, by 2030, the circular economy can generate an additional increase in European GDP of 0.5% and add 700,000 new jobs to the labour market. “Technology plays a key role in two areas: reducing existing barriers and making new business models more attractive,” says Benigno Herrería, managing director at Accenture Strategy and head of Sustainability.

One of the sectors with great potential for progress in the adoption of disruptive technologies is construction and waste management. This sector is one of the priority areas at the European level, estimated to generate between 25% and 30% of the waste in the EU. One of the biggest problems is that valuable building materials are not always identified when there is a demolition or new construction[9]. In addition, they are not collected separately nor is it adequately taken into account if they can have a second life. "Proper waste management, which includes proper separation and handling, can bring great benefits in terms of sustainability," explains the Spanish Circular Economy Strategy.

"When talking about visible technological advances in construction, many imagine a completely digitized city, but for this there is a lot to innovate in previous phases," says Gonzalo Galindo, director of Cemex Ventures[10], corporate venture capital investment arm of the international cement company. “This does not mean that Europe is behind. In fact, some of the most ground-breaking technologies that are revolutionising the construction sector have their origin and implementation in the European market”, indicates this expert. Notable among them is Cobod[11], a Danish firm that 3D printed Europe's first building in 2017. The firm's printers have created Europe's first two- and three-story buildings in Belgium and Germany, a villa in Dubai, and some bases for wind turbines in Africa.[12]

3D printing contributes to the circular economy, since it reduces construction waste and uses less materials than with the traditional method. The reality is that there are already smart buildings that run entirely on renewable energy sources, as well as 3D-printed homes that help solve social problems such as the affordable housing crisis, says the cement expert. In terms of energy, for example, Waste to Energy stands out, a firm based in Barcelona[13], which converts biomass and non-recyclable waste into synthesis gas through the atmospheric gasification process. Cemex[14] intends to incorporate this clean energy source in its clinker and cement manufacturing process.

In search of the right model

In Spain there are already initiatives from which a circular economy model can be built coherently and systematically, highlights Raquel Traba, CEO and co-founder of TRIPLE, a coworking space and ecological event with zero CO₂ certification[15]. “For example, industrial symbiosis, which is the use by one company of the waste, fluids, or emissions generated by another, incorporating them into its production process,” she says. Another example of circularity in construction is Ecometro,[16] which has developed a technology that enables the measurement of the impact of renovation projects or new construction and minimizes the carbon footprint by calculating emissions and associated impacts. This life cycle analysis includes all phases of the chain: from the extraction of raw materials and manufacturing, to transport, construction and use of the building.

"Research and innovation are key to the implementation of new processes," says Traba. But if we talk about the production of circular energy sources, one of the most notable examples is embodied by Repsol [17]. The firm is building a synthetic fuel plant in Bilbao, the first in Spain, which will produce some 2,000 tons per year by 2026. These fuels (also called e-fuels, which can be used in any type of vehicle that is traveling by sky, sea or land) are produced from hydrogen and carbon dioxide (CO₂) captured from the atmosphere or from industrial processes. [18]

The motto of the four Rs (Reduce, Reuse, Recycle and Recover) is helping to redefine the entire economy, but it is the automotive industry that is always one step ahead. Large companies in the sector use augmented reality (which helps to simplify the production process, improving efficiency and the use of materials) or the Internet of Things (through sensors in vehicles to collect data in real time and thus improve quality and reduce manufacturing errors). Rolls-Royce, for example, uses sensors on some of its vehicles to collect data on engine temperature or fuel flow. With the information collected, it identifies and anticipates maintenance problems.

Also in this sector, the constant reuse of used vehicle parts, component repair, remanufacturing, recycling and recovery of materials is gaining weight. “We have noticed that in the last two years user support for the circular economy has increased,” says Jan Amat, CEO and co-founder of Recomotor[19], a Spanish firm that specializes in breathing new life into vehicle parts.

A challenge still pending

The industrial sector in Spain represents a very important part of the economy. Its weight in the gross domestic product (GDP) is 15.31%, according to the Industrial Barometer prepared by the General Council of Industrial Technical Engineering of Spain. Despite its relevance, the market share of circular business models is still limited. Recycling, remanufacturing and repair, sharing spare capacity and providing services rather than products typically account for less than 15% of sector output, according to the OECD. One of the main obstacles is found in the inefficiencies of the market; it is to say, that there is incomplete information on the composition of the products and the conditions of maintenance and recycling. The private and public sectors know that time is running out and that the goals towards 2030 are a pending issue to be resolved. Among the objectives is to reduce the national consumption of materials in relation to GDP by 30%, taking 2010 as the reference year. In addition, it is intended to reduce the generation of waste by 15%, as well as improve efficiency by 10% in the use of water and reduce the emission of greenhouse gases below 10 million tons of CO2 equivalent in the economy, among other goals. Among the sectors where there is a great opportunity for advancement are construction, agri-food, fishing and forestry, industrial, consumer goods, tourism and textiles and clothing.

Source

Oscar Granados, Tecnologías que cierran el círculo, in: El País, 28-4-2023; https://elpais.com/tecnologia/digitalizacion/2023-04-28/tecnologias-que-cierran-el-circulo.html

[1] In early 2021, Accenture surveyed executives from 179 companies around the world to understand the steps that are giving to meet the challenges of the energy transition, its degree of progress towards reinvention and the results that hope to get The findings in this report are based on those answers as well as in a case study investigation. In: Accenture: La necesidad es la madre de la (re)invención, https://www.accenture.com/_acnmedia/PDF-159/Accenture-Full-Report-Oil-And-Gas-Reinvention-Index-2021-ES

[2] EMF: Fixing the economy to fix climate change, 9-11-2021 - We need to change the way we think about climate change in order to reduce greenhouse gas emissions (GHGs) and meet the targets set out in the Paris Agreement. Energy efficiency and switching to renewable energy  is only half the story. It is vital, but would only address 55% of global emissions. To reach net-zero, we also need to change the way we make and use products, materials, and food.https://ellenmacarthurfoundation.org/topics/climate/overview

[3] Suez SA (formerly Suez Environnement) is a French-based utility company which operates largely in the water and waste management sectors. The company has its head office in La Défense, Paris. In 2015, all the group's brands became SUEZ. 

[4] CircularChain, the circular economy blockchain. To support regions in their environmental transition and help industrial companies make their road maps a reality, SUEZ draws on smart digital solutions such as its development of CircularChain, the circular economy blockchain. https://www.suez.com/en/about-us/innovating-for-the-future/circularchain-the-circular-economy-blockchain

[5] We started small but with a big ambition: To redesign the clothing industry and end waste. Using natural materials, renewable energy and designing every product to come back to be remade meant building new technology to make a circular economy model possible. This is the story of that journey. Creating a sustainable, circular supply chain for fashion starts with making products from natural materials like organic cotton, in factories powered by renewable energy. It also means creating products that are designed from the start to be sent back and remade into new ones once they’re worn out, keeping materials out of landfill and in the loop. But to really make a difference and end waste in the fashion industry, we need to share this technology with everyone. That’s why we created Teemill. https://teemill.com/circular-fashion-supplier/

[6] PICVISA is an innovative technology-based company that offers solutions based on robotics, artificial intelligence and machine vision to the national and international markets. We design, develop and produce selection and classification equipment for valuable materials. Our equipment can select and classify these materials by composition, shape and/or colour based on our own software. With innovation as our focus, we have expanded our offer by developing new products and adapting to new technologies. PICVISA offers to its clients optical sorting, robotics, artificial intelligence and deep learning solutions. https://picvisa.com/en/about-us-technology-based-company-sorting-solutions/

[7] Read also: https://www.tumblr.com/earaercircular/687772429864583168/belgian-winner-of-the-inventors-prize-for-his?source=share

[8] The deterioration of the ecological footprint globally, and in Spain in particular, demands the search for comprehensive solutions with the participation of all stakeholders: public, private, consumer, etc. sectors. only with him everyone's commitment, it will be possible to deal effectively with a problem that is not strictly technical, but social and equity. In order to respond to this situation, this Spanish Circular Economy Strategy, Spain has been prepared Circular 2030. Spain Circular 2030 lays the foundations to promote a new model of production and consumption in which the value of products, materials and resources are maintained in the economy for as long as possible, a period during in which the generation of waste is reduced to a minimum and is used with the greatest scope possible those that cannot be avoided. The Strategy thus contributes to Spain's efforts to achieve a sustainable, decarbonised, efficient in the use of resources and competitive economy. This strategy is will materialize through successive three-year action plans.  https://www.miteco.gob.es/es/calidad-y-evaluacion-ambiental/temas/economia-circular/espanacircular2030_def1_tcm30-509532_mod_tcm30-509532.pdf. Read also: https://www.tumblr.com/earaercircular/712071401437347840/26-organizations-sue-spain-before-europe-for-low?source=share

[9] Read also: https://www.tumblr.com/earaercircular/707450024191197184/missing-waste-why-spanish-construction-companies?source=share

 [10]Launched in 2017, CEMEX Ventures focuses on helping to solve the main challenges and capitalise on the opportunity areas in the construction ecosystem through sustainable solutions. CEMEX Ventures has created an open and collaborative platform to lead the revolution of the construction industry by engaging startups, entrepreneurs, universities, and other relevant actors to tackle the industry's toughest challenges and shape tomorrow's value ecosystem. https://www.cemexventures.com/about-us/

[11] COBOD International specialises in 3D construction printing solutions. It is continuously adding wider automation and robotics to construction. The company was founded in 2017 and is based in Copenhagen, Denmark. https://cobod.com/about-us/

[12] Read also: https://www.tumblr.com/earaercircular/702085724212756480/american-university-unveils-3d-printed-house-made?source=share & https://www.tumblr.com/earaercircular/701073709359939584/researchers-from-ku-leuven-go-to-a-large-3d-fair?source=share

[13] Waste to Energy Advanced Solutions (WtEnergy) was born in 2017 thanks to 20 years of experience of its founder Andrés Ponce on gasification, biofuels and clean energy generation (thermal and electric). In 2019, Antonio Crous joins the project as co-founder, to scale the business commercially and develop the implementation of technology within strategic industries and sectors. WtEnergy has developed a unique cleantech technology, with a wide know-how and large number of projects behind it, impossible to find in the gasification and waste to energy market. Both founders have extensive experience in both the technical and business aspects, accompanied by a large team of engineers and experts in gasification plants. https://www.cemex.com/w/cemex-invests-in-clean-energy-from-waste-technology

[14] CEMEX (NYSE: CX) is a global construction materials company that is building a better future through sustainable products and solutions. CEMEX is committed to achieving carbon neutrality through relentless innovation and industry-leading research and development. CEMEX is at the forefront of the circular economy in the construction value chain and is pioneering ways to increase the use of waste and residues as alternative raw materials and fuels in its operations with the use of new technologies. CEMEX offers cement, ready-mix concrete, aggregates, and urbanization solutions in growing markets around the world, powered by a multinational workforce focused on providing a superior customer experience, enabled by digital technologies. www.cemex.com

[15] We spoke with Raquel Traba, CEO of TRIPLE, a very unique coworking and events space. It is the first 360º ecological coworking space in Madrid, Spain. It is a restored building with bio-construction practices that integrate a building into its surroundings with the minimum possible environmental impact. It also uses ‘passivhaus’ techniques, a standard for construction that combines energy efficiency and comfort in spaces. https://efectocolibri.com/triple-a-healthy-and-green-coworking-space-for-triple-balance-fans/

[16] Environmental and social challenges are growing and buildings have a direct impact on our health and environment. At ecometro we develop technologies and consulting to measure, minimize and compensate this impact, helping architects, constructors, companies and administrations to decarbonize buildings, create healthy and regenerative environments for people and take care of the planet. We develop technologies, consulting and training to help you incorporate the measurement of the carbon footprint and the certification of buildings that do not emit CO2 in your building, new construction and rehabilitation projects, your public tenders and the purchase, sale and investment in real estate. Add value to your buildings, make them more resilient to climate change, take care of the planet and your health. https://ecometro.es/en/about-us

[17] Repsol S.A. is a Spanish multinational energy and petrochemical company based in Madrid. It is engaged in worldwide upstream and downstream activities. In the 2021 Forbes Global 2000, Repsol was ranked as the 683rd-largest public company in the world. As of 2021, it has more than 24,000 employees worldwide. It is vertically integrated and operates in all areas of the oil and gas industry, including exploration and production, refining, distribution and marketing, petrochemicals, power generation and trading. The business strategy also includes a renewable energy division. https://www.repsol.com/en/index.cshtml

[18] Read also: https://www.tumblr.com/earaercircular/700352857215533057/the-circular-economy-comes-to-the-city-and-will?source=share

[19] We are a company specialized in motors and gearboxes, we put at your disposal a team of professionals with more than 10 years of experience in the sector with the necessary tools to find the solution that best suits your needs. We work every day to solve customer problems, updating ourselves on technical issues and developing processes for as close a communication as possible. https://recomotor.com/#us

[rocknews]

Rohini College Of Engineering And Technology, Best Engineering College In Kanyakumari District – Pave Way To Your Career In Engineering

Rohini College of Engineering & Technology (RCET), the best engineering college in Kanyakumari district, began functioning in the 2012 academic year. It is accredited by the All India Council for Technical Education (AICTE) and associated with Anna University. RCET has been certified to ISO 9001:2015. It provides undergraduate, graduate, diploma and doctoral level management and engineering courses.

Main features of RCET

Large, well-designed classrooms and tutorial rooms.

Interaction with Industry Institutes - Placement Training Programmes Led by Industry Experts.

Central Library has about 70000 titles of books and journals, as well as internet lease connectivity for E-Library.

Campus with high-speed WIFI available 24*7

The air-conditioned auditorium "The Grand Arena" offers 750 seating capacity and a superb stage for all common activities / events.

The cutting-edge, air-conditioned Mini Seminar Hall 1 with 300 seats and Mini Seminar Hall 2 with 100 seats.

World-class sports facilities that meet international standards.

High-level communication labs to help students improve their language skills.

Expert guest lectures, industrial training trips, seminars, and workshops to help students build the necessary skills.

Technical Exposure at SPECTRA and TARCET.

Excellent hostel facilities for both boys and girls, divided into three categories (Premium, Elite, and Economic).

All students and staff are provided with transportation from various locations such as (Thirunelveli, Thoothukudi, Kanyakumari, and Trivandrum).

The training and placement cell at RCET, best engineering college in Kanyakumari district aims at providing 100% placement assistance to its students. The placement cell conducts various mock interview sessions, communicative English and soft skill training, quantitative and technical aptitude training and certification courses relevant to the opted discipline.

RCET faculty is well equipped with years of experience in technology and management academia as well as the industry. They prepare students with hands-on training to face the real-life professional challenges of their relevant fields. RCET has a placement rate of 96.5%, and some of their top recruiters include Infosys, Accenture, Siemens, TCS, TVF, Justdial, and others. This leads RCET to become the best engineering college in Kanyakumari district.

Contact Us:

Address: Near Anjugramam JN, Kanyakumari Main Road, Palkulam, Tamilnadu, India. Phone: +91 8531088888 Email: admin@rcet.org.in

[sanemyamen]

Application Management Services (AMS) Market to Scale New Heights as Market Players Focus on Innovations 2022 – 2027

Latest business intelligence report released on Global Application Management Services (AMS) Market, covers different industry elements and growth inclinations that helps in predicting market forecast. The report allows complete assessment of current and future scenario scaling top to bottom investigation about the market size, % share of key and emerging segment, major development, and technological advancements. Also, the statistical survey elaborates detailed commentary on changing market dynamics that includes market growth drivers, roadblocks and challenges, future opportunities, and influencing trends to better understand Application Management Services (AMS) market outlook. List of Key Players Profiled in the study includes market overview, business strategies, financials, Development activities, Market Share and SWOT analysis are Accenture plc (Ireland),Atos SE (France),Infosys Limited (India),Oracle Corporation(United States),SAP SE(Germany),Deloitte Touche Tohmatsu Limited (United States),Dell Inc. (United States),Optimum Solutions, Inc. (Singapore),Neoris, Inc. (United States),Sierra-Cedar, Inc. (United States) Application Management Services (AMS) assists organizations in administrating and managing their business application to improve organizational efficiency. These systems also helps in minimizing operations expenses since they offer application management in each stage of application life cycle which includes application development, monitoring, maintenance & support and many others. Recently, mobile application development has seen robust growth which will ultimately upsurge the need for AMS. Moreover, growing applications of Bring Your Own Devices (BYOD) in the business organization will generate significant demand over the forecasted period. Key Market Trends: Increasing Uses of Application Management Services (AMS) in BFSI Business

Upsurging Adoption of Ready Made Solutions Opportunities: Reusability & Scalability of the Application Management Services pose Numerous Opportunities

Works continuously without Interrupting Business Processes

Market Growth Drivers: Enables Accessibility of Skilled Workforce assists in Employment

Provides Enormous Cost Advantages and Simplifies Business Processes Challenges: Complexities in Integrating AMS with the Existing Systems

Continuously Changing the Organizational Preferences

The Global Application Management Services (AMS) Market segments and Market Data Break Down by Type (Discrete AMS, Embedded AMS), Application (BFSI, Telecom and IT, Retail and eCommerce, Healthcare and Lifesciences, Manufacturing, Energy and Utilities), Service (System Integration, Consulting Services, Modernization Services, Others), Deployment (On-Premises, On-Cloud)

Presented By

AMA Research & Media LLP

[decaffeinatedfirelover]

Wearable technology in oil and gas: The leading companies

The field of wearable technology is still in its infancy in the industrial sector, and the majority of the developments that are currently taking place primarily address the requirements of consumer markets. However, oil and gas businesses have begun looking into the possibility of incorporating wearable technology into their day-to-day operations.

The initial focus of research on wearable technology is on making it possible to monitor field technicians in real time to ensure their safety and provide them with audiovisual assistance when maintaining assets. The ultimate objective is to implement wearable devices that are both lightweight and durable to boost oilfield operations' efficiency and safety.

The leading oil and gas companies that are incorporating wearable technology into their operations are listed below.

BP Plc has increased its efforts to increase worker safety ever since the Deepwater Horizon incident in 2010. BP is contributing to the development of wearable technology for frontline workers as part of these efforts. The organization is leading an experimental run program for the utilization of wearable innovation under outrageous weather patterns of Oman or the Cold locale.

The subject of the study is a special-purpose vest that is capable of monitoring and transmitting vital health parameters. As an alternative to smartphones built for industrial use, BP wants to create wearable devices for its field technicians. In addition, BP is offering employees discounted "Fitbit" fitness trackers to encourage them to focus on their health and wellness.

An assortment of wearable sensors have been developed by Eni Eni, an Italian oil major working closely with the MIT lab. These can be attached to vests for health data monitoring. Additionally, data about the surrounding environment can be gathered by the vest. In order to evaluate the field crew's health and safety, this helps to provide a comprehensive perspective. By embracing the wearable sensor framework, Eni is attempting to alleviate the dangers of dealing with oil and gas stages.

Wearable gas detectors are being used at Marathon Petroleum's refineries by the oil refining company Marathon Petroleum, which is based in the United States, to increase worker safety. A system that incorporates wearable technology for real-time gas detection, alarm generation, and workforce tracking has been developed in collaboration with the company and Accenture.

RealWear's head-mounted computer system is one piece of wearable technology that Royal Dutch Shell Shell has adopted. Frontline workers and onshore experts' collaboration and knowledge transfer are enhanced as a result. The company is of the opinion that portable technology would provide off-the-desk workers with a greater benefit. These include devices that can be worn to boost productivity and efficiency.

In its Uthmaniyah Gas Plant (UGP), Saudi Aramco has used wearable technologies to inspect pipelines and plant machinery. The company wants to make its operations more reliable, safe, and efficient by using digital technologies.

[globalinsightsservices]

Artificial Intelligence Market is expected to witness Incredible Growth during 2031-Google, Amazon, Meta, IBM

Global Artificial Intelligence Market report from Global Insight Services is the single authoritative source of intelligence on Artificial Intelligence Market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restBlockchain Marketraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.

To Remain ‘Ahead’ Of Your Competitors, Request for A Sample –https://www.globalinsightservices.com/request-sample/GIS10045

Artificial intelligence technology is used to create and interpret human-like or machine-like responses in order to make intelligent decisions. This technology is used to interact with humans in natural ways, such as through conversation, and to process and understand human language. Artificial intelligence technology can also be used to create and interpret images, and to make decisions based on data.

Key Trends

Artificial intelligence (AI) is a rapidly growing field with immense potential. Here are five key trends in the AI market or technology:

Rapid growth in AI hardware and software.

Increased adoption of AI in the enterprise.

Emerging markets are leading the way in AI adoption.

AI is transforming industries.

AI is changing the nature of work.

Key Drivers

Artificial intelligence (AI) is still in its early developmental stages, which presents both opportunities and challenges for businesses wanting to adopt AI technologies. Currently, the AI market is being driven by the following key factors:

The ever-increasing volume of data: The growth of data is one of the key drivers of AI. The more data that is available, the more AI can learn and improve its accuracy. This is why businesses are increasingly turning to AI to help them make sense of their data and make better decisions.

The need for speed and accuracy: In today’s fast-paced world, businesses need to be able to make decisions quickly and accurately. AI can help businesses do this by providing them with the ability to process large amounts of data quickly and make predictions based on that data.

The decreasing cost of AI: As AI technology becomes more advanced and more widely used, the cost of AI is decreasing. This makes AI more affordable for businesses of all sizes, which is driving adoption of AI technologies.

The increasing availability of AI talent: As the AI market grows, so does the pool of AI talent. This is making it easier for businesses to find the AI experts they need to help them implement AI technologies.

Get A Customized Scope to Match Your Need, Ask an Expert –https://www.globalinsightservices.com/request-customization/GIS10045

Market Segments

By Offering

Hardware

Processor

Memory

Network

Software

Application Program Interface (API)

Machine Learning Framework

Services

Deployment and Integration

Support and Maintenance

By Technology

Machine Learning

Deep Learning

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Other Technology

Natural Language Processing

Context-Aware Computing

Computer Vision

By Business Function

Marketing and Sales

Security

Finance

Law

Human Resource

Others

By Deployment Mode

Cloud

On-premises

By Organization Size

Large enterprises

Small and medium-sized enterprises (SMEs)

By Vertical

BFSI

Retail and eCommerce

Telecommunication and IT

Healthcare and Life Sciences

Automotive

Government and Defense

Manufacturing

Energy and Utilities

Others

Key Players

Google

Amazon

Meta

IBM

Microsoft

Apple

Salesforce

SAP

Oracle

Intel

NVIDIA

Twitter

Accenture

For In-Depth Competitive Analysis, Purchase this Report –https://www.globalinsightservices.com/checkout/single_user/GIS10045

About Global Insight Services:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

Contact Us:

Global Insight Services LLC 16192, Coastal Highway, Lewes DE 19958 E-mail: info@globalinsightservices.com Phone: +1–833–761–1700 Website: https://www.globalinsightservices.com/