#IBM Environmental Intelligence Suite

[zoomdigitaltv]

IBM y Aeroméxico revolucionan la aviación con IA

La aerolínea adoptó una tecnología desarrollada por IBM e implementada por Xatrix, que ayuda a anticipar impactos en sus operaciones por causa de eventos meteorológicos. Continue reading Untitled

[chandantripathi889]

Top Data Science and AI Platforms in 2024: Revolutionizing Innovation and Decision-Making

Introduction: The Role of Data and AI in 2024

In 2024, data drives decisions while artificial intelligence (AI) drives innovation. Choosing the right platform to harness the power of data and AI is critical for staying competitive. Both companies and professionals are seeking platforms that support seamless data science projects and advanced AI model development.

This article explores the top data science and AI platforms of 2024, with a special focus on Manipal AI Platforms, a rising star in the tech world.

Why Choose Data Science and AI Platforms?

Before delving into specific platforms, it’s important to understand why these tools have become essential in today's business landscape:

Accelerate Decision-Making: Data science platforms offer actionable insights, enabling faster and more informed decisions.

Automation and Efficiency: AI platforms automate routine tasks, freeing businesses to focus on more strategic issues.

Innovation Hub: Many platforms allow users to experiment with cutting-edge AI models, fostering continuous innovation.

Image alt tag - AI platforms

Reference - https://www.fotor.com/blog/ai-platform/ 

Top Data Science and AI Platforms in 2024

1. Manipal AI Platforms

Manipal AI Platforms bridge the gap between education and industry needs, offering tools for both novices and experienced data scientists.

Key Features:

Ease of Use: User-friendly interfaces make the platform accessible to users of all experience levels.

Scalability: Whether you're a startup or a large enterprise, the platform offers solutions that grow with your business.

Industry Integration: The platform seamlessly integrates with industry-specific tools, making it ideal for projects in healthcare, finance, and more.

Ease of Use - User-friendly dashboards for all experience levels.

Scalability - Tailored solutions for businesses of any size.

Industry-Specific Tools - Supports real-world business challenges in industries like healthcare and finance.

2. IBM Watson Studio

IBM Watson Studio is a powerful platform for operationalizing AI at scale.

Key Features:

Customizable AI Models: Users can build their own AI models or utilize pre-built ones for quick deployment.

Data Governance: Strong focus on data privacy and security, making it ideal for industries handling sensitive data like finance and healthcare.

3. Google Cloud AI Platform

Google Cloud AI Platform offers a comprehensive suite of AI and machine learning services.

Key Features:

Collaboration and Flexibility: Seamless collaboration with shared datasets and models.

Powerful APIs: Enables developers to easily integrate advanced AI capabilities into applications.

4. Microsoft Azure AI

Microsoft Azure AI is well-known for its extensive range of AI tools.

Key Features:

AI for Every Developer: Tools for developers at all levels to create, train, and deploy AI models.

Seamless Integration: Part of the Azure ecosystem, integrating effortlessly with Microsoft services like Azure DevOps and Teams.

5. Amazon SageMaker

Amazon SageMaker is a fully managed platform that allows developers and data scientists to quickly build, train, and deploy machine learning models.

Key Features:

Comprehensive Machine Learning: Offers everything from data labeling to model monitoring.

Cost-Efficiency: Robust infrastructure that allows businesses to scale AI operations while maintaining cost-efficiency.

Future Trends in Data Science and AI

As we move further into 2024, several trends are shaping the future of data science and AI:

Explainable AI (XAI): Increasing demand for transparency and explainability in AI systems.

AI for Sustainability: AI will play a major role in solving environmental challenges, focusing on energy efficiency, waste reduction, and carbon footprint management.

AI and Data Ethics: The importance of ethical AI usage, particularly regarding data privacy, will remain a key discussion point.

Conclusion: Which Platform Should You Choose?

Selecting the right platform depends on your unique requirements:

Manipal AI Platforms: Ideal for scaling and industry-specific tools.

IBM Watson Studio: Known for strong security and data governance.

Google Cloud AI: Best for collaboration and flexibility.

Microsoft Azure AI: Great for seamless integration with Microsoft tools.

Amazon SageMaker: Perfect for businesses looking for comprehensive, scalable AI solutions.

As AI and data science continue to revolutionize industries, platforms like Manipal AI Platforms are setting new benchmarks. Their industry-specific tools and accessibility are helping professionals succeed in this fast-evolving space.

For more information on these cutting-edge platforms, visit IIT Roorkee.

[zealousnightsublime]

10 Free AI Courses With Certifications In 2024

10 Free AI Courses With Certifications In 2024 . In 2024, as artificial intelligence (AI) continues to revolutionize industries across the globe, acquiring AI skills has become a crucial step for anyone looking to advance their career or pivot into technology. Fortunately, there are numerous free AI courses available that also offer certifications upon completion, allowing learners to build their expertise without incurring costs. This essay will explore ten free AI courses available in 2024, detailing their content, the certification process, and how these courses can help you gain valuable AI skills. Introduction - The Growing Demand for AI Skills: - AI is driving innovation in areas such as automation, machine learning, data science, robotics, and natural language processing. As companies across various sectors implement AI solutions, the demand for skilled professionals is skyrocketing. - Acquiring AI skills not only enhances career prospects but also equips individuals to contribute to cutting-edge projects and advancements in technology. - The Role of Online Learning in AI Education: - Online learning platforms have made AI education more accessible than ever. They offer flexible learning schedules, a wide range of courses, and often provide certifications that are recognized by employers. - Free courses with certifications provide a low-risk entry point for learners to explore AI, build foundational skills, and showcase their knowledge to potential employers. Overview of the 10 Free AI Courses with Certifications - Coursera – "AI For Everyone" by Andrew Ng - Course Overview: This course, offered by Coursera and taught by AI pioneer Andrew Ng, is designed for anyone interested in understanding AI. It covers the basics of AI, its applications, and the impact it has on various industries. The course is non-technical, making it accessible to learners from all backgrounds. - Certification: Upon completing the course, learners can earn a shareable certificate. While the course is free to audit, a paid option is available for those who want the certification, but Coursera also offers financial aid for those who qualify. - Benefits: This course is ideal for beginners and professionals who want to grasp the fundamentals of AI and its potential in the business world. - edX – "Elements of AI" - Course Overview: Created by the University of Helsinki and Reaktor, "Elements of AI" is a series of free online courses designed to demystify AI. The courses cover topics such as machine learning, neural networks, and the societal impact of AI. - Certification: Learners who complete the course can earn a free certificate. The course is self-paced and designed to take about 6 weeks to complete with 5-10 hours of study per week. - Benefits: This course is particularly well-suited for those new to AI and looking for a comprehensive introduction without needing a technical background. - Google – "AI for Social Good" - Course Overview: Offered through the Google AI platform, this course focuses on how AI can be applied to address global challenges such as healthcare, environmental sustainability, and disaster response. The course includes case studies and practical examples of AI's positive impact. - Certification: Upon completion, learners receive a free certificate. Google also offers additional resources and community support for those interested in further exploration. - Benefits: This course is excellent for those interested in the intersection of technology and social impact, providing a unique perspective on AI's potential. - IBM – "Introduction to AI" on Cognitive Class - Course Overview: IBM's "Introduction to AI" course on Cognitive Class (formerly Big Data University) provides an overview of AI concepts, including machine learning, neural networks, and deep learning. The course also covers the history of AI and its future trends. - Certification: After successfully completing the course and passing the final exam, learners receive a digital badge and certificate from IBM. - Benefits: This course is a great starting point for those interested in IBM’s approach to AI and provides foundational knowledge that can be built upon with more advanced courses. - Microsoft – "AI Fundamentals" - Course Overview: Available on the Microsoft Learn platform, "AI Fundamentals" covers the basics of AI, including machine learning, computer vision, and natural language processing. The course is part of Microsoft’s AI Fundamentals certification path, aimed at beginners. - Certification: Upon completing the course, learners can opt to take the AI-900 certification exam (for a fee) to earn the official Microsoft Certified: AI Fundamentals certification. - Benefits: This course is ideal for learners looking to gain foundational AI skills and potentially pursue further Microsoft certifications in AI. - LinkedIn Learning – "Artificial Intelligence Foundations: Machine Learning" - Course Overview: LinkedIn Learning offers a free course on AI foundations with a focus on machine learning. The course covers supervised and unsupervised learning, neural networks, and the ethical considerations of AI. - Certification: Learners can earn a certificate of completion, which can be added to their LinkedIn profile. The course is free during LinkedIn Learning’s trial period. - Benefits: This course is beneficial for professionals looking to quickly upskill in machine learning while also enhancing their LinkedIn profile with recognized certifications. - FutureLearn – "AI for Healthcare: Equipping the Workforce for Digital Transformation" - Course Overview: Offered by the University of Manchester on FutureLearn, this course explores the impact of AI in healthcare. It covers topics such as AI in medical imaging, diagnosis, and patient care, and discusses the ethical challenges associated with AI in medicine. - Certification: Learners who complete the course can earn a certificate of achievement. The course is free to join, with an option to upgrade for access to the certificate. - Benefits: This course is particularly valuable for healthcare professionals looking to understand how AI is transforming their field and how they can be part of that transformation. - Kaggle – "Intro to Machine Learning" - Course Overview: Kaggle, a platform known for data science competitions, offers a free course on machine learning. This course covers basic machine learning concepts, including data preparation, model training, and evaluation. Learners can also participate in Kaggle’s competitions to apply what they’ve learned. - Certification: While Kaggle courses do not typically offer formal certificates, learners can earn badges for completing the course modules, which are recognized within the Kaggle community. - Benefits: This course is ideal for those who prefer hands-on learning and want to start applying machine learning techniques in real-world scenarios. - Harvard University – "CS50’s Introduction to Artificial Intelligence with Python" - Course Overview: Part of Harvard’s renowned CS50 series, this course provides an in-depth introduction to AI using Python. It covers topics such as search algorithms, knowledge representation, machine learning, and neural networks. - Certification: Learners who complete the course and pass the assessments can earn a free certificate of completion. The course is available on edX. - Benefits: This course is well-suited for learners with some programming experience who want to dive deep into AI concepts and apply them using Python. - Stanford University – "Machine Learning" by Andrew Ng (Coursera) - Course Overview: Although not exclusively free, Stanford's Machine Learning course by Andrew Ng on Coursera is often available at no cost if audited. The course provides a comprehensive introduction to machine learning, covering linear regression, neural networks, and unsupervised learning. - Certification: While the course can be audited for free, learners who want a certificate will need to pay. However, financial aid is available for those who qualify. - Benefits: This course is one of the most popular and respected machine learning courses available online, offering a strong foundation in AI for learners at all levels. How to Choose the Right 10 Free AI Courses With Certifications In 2024 - Assess Your Current Skill Level: - Beginners should start with introductory courses that provide a broad overview of AI concepts, such as "AI For Everyone" by Andrew Ng or IBM's "Introduction to AI." - Intermediate learners may benefit from more specialized courses, such as Kaggle’s "Intro to Machine Learning" or Harvard’s "CS50’s Introduction to Artificial Intelligence with Python." - Consider Your Career Goals: - If you’re looking to apply AI in a specific industry, such as healthcare, consider courses like "AI for Healthcare" on FutureLearn. - For those aiming to specialize in machine learning, Stanford’s "Machine Learning" or Microsoft’s "AI Fundamentals" might be more appropriate. - Evaluate the Course Structure and Time Commitment: - Some courses, like "Elements of AI," are self-paced and can be completed in a few weeks, while others, like the Harvard CS50 course, may require a more significant time commitment. - Consider your availability and how much time you can dedicate to learning each week. - Look for Hands-On Learning Opportunities: - Courses that offer practical exercises, projects, or participation in competitions, like Kaggle’s "Intro to Machine Learning," can help reinforce learning and provide valuable experience. - Verify Certification and Recognition: - Check whether the course offers a certificate and whether that certificate is recognized by employers in your industry. Courses from platforms like Coursera, edX, and LinkedIn Learning often have widely recognized certifications.

The Benefits of Earning Free AI Courses With Certifications In 2024 - Enhanced Job Prospects: - AI certifications can significantly enhance your resume, making you stand out in a competitive job market. Employers value certifications as proof of your commitment to learning and your expertise in the field. - Increased Earning Potential: - Professionals with AI skills and certifications often command higher salaries. AI is a high-demand field, and having certifications can position you for higher-paying roles in tech, finance, healthcare, and more. - Opportunities for Career Advancement: - Certifications can help you advance in your current role or pivot to a new career path. Whether you’re looking to move into AI research, data science, or AI product management, certifications can open doors to new opportunities. - Networking and Community Engagement: - Many online learning platforms have active communities where learners can connect, share knowledge, and collaborate on projects. Earning a certification can also increase your visibility within these communities. - Personal Growth and Lifelong Learning: - Learning AI skills and earning certifications can be a deeply rewarding experience. It fosters a mindset of lifelong learning, encouraging you to continue exploring new technologies and staying ahead of industry trends. In 2024, the availability of free AI courses with certifications provides an unparalleled opportunity for individuals to acquire valuable skills without financial barriers. Whether you’re just starting your journey into AI or looking to deepen your expertise, these courses offer a range of options to suit your needs. 10 Free AI Courses With Certifications In 2024 By selecting the right course, dedicating time to learning, and earning certifications, you can enhance your career prospects, increase your earning potential, and position yourself at the forefront of technological innovation. The future is AI-driven, and these free courses are your gateway to becoming a part of that future. Read the full article

[datahorizzon-research1]

Smart Fleet Management Market Predicted to Achieve Remarkable CAGR of 8.3% by 2032

Smart Fleet Management Market Demand is projected to reach a staggering USD 1,031.2 Billion by 2032, boasting an impressive Compound Annual Growth Rate (CAGR) of 8.3%.

This growth trajectory has been fueled by escalating demands for streamlined fleet operations, propelled by advancements in telematics technology and an imperative for regulatory compliance and safety adherence. Offering a suite of solutions including vehicle tracking, fuel management, remote diagnostics, and driver behavior monitoring, this market is dedicated to enhancing fleet performance while curbing operational expenses.

Request Sample Report: https://datahorizzonresearch.com/request-sample-pdf/smart-fleet-management-market-2781

Recent developments in the market include:

· Integration of AI and IoT: Companies are increasingly leveraging artificial intelligence (AI) and Internet of Things (IoT) technologies to enhance fleet management systems.

· Emphasis on Sustainability: With growing environmental concerns, there is a rising emphasis on integrating sustainable practices into fleet management.

· Expansion of Autonomous Capabilities: Advancements in autonomous vehicle technology are transforming the landscape of fleet management.

· Enhanced Security Measures: As cyber threats continue to pose risks to connected vehicles and fleet management systems, there’s a heightened focus on implementing robust cybersecurity measures.

For Further Information Regarding this Report: Ask For Discount:

https://datahorizzonresearch.com/ask-for-discount/smart-fleet-management-market-2781

Top Companies are:

· Verizon

· Denso Corporation

· Infosys Limited

· Continental AG

· Siemens

· Robert Bosch GmbH

· Sierra Wireless

· Cisco Systems, Inc.

· Hitachi, Ltd.

· IBM Corporation

· Samsung Electronics Co. Ltd.

· Infineon Technologies AG

Market Segmentations:

By Transportation — Railways, Roadways, Airways, Waterways

By Application — Tracking, Optimization, ADAS, Remote Diagnostics, Others

By Connectivity — Short Range, Long Range, Cloud

Regional Analysis:

The Smart Fleet Management market is segmented geographically into North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. In the coming years, Asia Pacific is expected to emerge as a key player in this industry. China, in particular, is leading the charge in technological advancements, driven by a surging demand for sophisticated fleet management and telematics systems across the region.

These smart solutions harness high-quality data insights from telematics to lower operational costs, reduce carbon emissions, and optimize routing and scheduling. Consequently, the region’s heightened focus on sustainability and emissions reduction, as driven by governmental initiatives, is further fueling market expansion in Asia Pacific.

Key highlights of the report include:

1. The report delivers thorough Market analysis, furnishing valuable insights to guide strategic decision-making.

2. The comprehensive research outlined in the study enhances the depth of your presentations and marketing strategies.

3. By offering crucial insights into key market competitors, the study empowers businesses with a strategic edge.

4. It delivers a precise assessment of evolving market dynamics, ensuring readers stay abreast of the latest industry trends.

5. With meticulous breakdowns of various market niches, the report facilitates informed decision-making processes.

Check Out More Related Reports:

Smart Cities Market

Smart Grid Market

[sanjeev3214]

Beyond Efficiency: The Rise of Smart Solutions in Facility Management Software Market

In the ever-evolving landscape of facility management, where efficiency and sustainability are paramount, the integration of smart solutions has emerged as a game-changer. The Facility Management Software (FMS) market is witnessing a transformative shift as organizations seek more than just streamlined operations; they aspire for intelligent, data-driven decision-making processes. This article explores the burgeoning trend of smart solutions in the Facility Management Software market, unraveling the key players, opportunities, and challenges that define this dynamic sector.

Understanding the Facility Management Software Market

The Facility Management Software market has been a crucial asset for organizations looking to optimize their operations, manage resources effectively, and enhance overall productivity. Traditionally, FMS focused on basic functionalities such as maintenance scheduling, asset tracking, and space utilization. However, the contemporary landscape demands more sophisticated solutions that go beyond conventional efficiency.

Key Elements Driving the Shift to Smart Solutions

1. Internet of Things (IoT) Integration:

As the IoT ecosystem expands, integrating sensors and connected devices within facilities has become pivotal. This enables real-time monitoring of various parameters, such as energy consumption, equipment health, and occupancy levels. FMS with robust IoT integration allows facility managers to make informed decisions based on accurate, up-to-the-minute data.

2. Predictive Analytics:

Smart FMS leverages predictive analytics to foresee potential issues before they escalate. By analyzing historical data and patterns, these solutions can predict equipment failures, maintenance needs, and even forecast energy consumption. This proactive approach not only minimizes downtime but also contributes to significant cost savings.

3. Artificial Intelligence (AI) and Machine Learning (ML):

AI and ML algorithms have empowered FMS to learn and adapt, providing insights that lead to more informed decision-making. These technologies enhance automation, enabling systems to self-optimize and adjust based on changing conditions. For instance, AI-driven scheduling can optimize workforce management and resource allocation.

The Major Players in the Smart FMS Landscape

IBM Tririga:

A leader in intelligent real estate and facility management solutions, IBM Tririga employs AI-driven insights to enhance space utilization, streamline lease accounting, and optimize maintenance processes.

ARCHIBUS:

Recognized for its comprehensive FMS suite, ARCHIBUS leverages IoT and mobile technologies to deliver real-time insights into space utilization, asset management, and environmental sustainability.

eMaint CMMS:

A cloud-based CMMS (Computerized Maintenance Management System) solution, eMaint utilizes IoT and predictive analytics to revolutionize maintenance processes, ensuring equipment reliability and minimizing downtime.

Planon:

Focused on smart building technologies, Planon offers an integrated FMS platform with IoT integration for efficient space management, maintenance, and workplace services.

Nuvolo:

Positioned as a leader in Connected Workplace solutions, Nuvolo combines IoT, AI, and ML to deliver a unified platform for facilities, space, and service management.

Opportunities in the Smart FMS Market

1. Sustainability Integration:

Smart FMS plays a pivotal role in achieving sustainability goals. The integration of energy-efficient technologies, waste reduction strategies, and green building practices within these systems aligns with the growing emphasis on environmentally conscious facility management.

2. Enhanced User Experience:

The rise of smart solutions translates to improved user experiences. Mobile applications, intuitive dashboards, and AI-driven chatbots empower users to interact seamlessly with FMS, fostering greater engagement and collaboration.

3. Customization and Scalability:

Organizations are increasingly seeking FMS solutions that are not only tailored to their specific needs but are also scalable as their requirements evolve. The ability to customize and scale smart FMS platforms positions them as long-term strategic assets.

Challenges in the Smart FMS Market

1. Initial Implementation Costs:

While the long-term benefits are substantial, the initial costs associated with implementing smart FMS can be a barrier for some organizations. Convincing stakeholders of the return on investment and long-term savings is a crucial aspect.

2. Data Security Concerns:

The influx of connected devices and the extensive data generated raise concerns about data security. Ensuring robust cybersecurity measures to protect sensitive information becomes imperative in the smart FMS landscape.

3. Integration Complexity:

Integrating smart FMS with existing legacy systems can be complex. Organizations may face challenges in ensuring seamless connectivity and data flow between disparate systems.

The Future Outlook

The Facility Management Software market is poised for continued growth, driven by the relentless pursuit of operational excellence and sustainability. The integration of smart solutions, fueled by IoT, AI, and predictive analytics, is reshaping the landscape. As the market evolves, a holistic approach that addresses challenges while leveraging emerging opportunities will be key to unlocking the full potential of smart FMS. The journey toward smart facilities is not just about efficiency; it's a strategic leap toward building resilient, sustainable, and intelligent spaces that adapt to the needs of the future.

[ict-reports]

Carbon Accounting Software Market Size 2023, Latest Trends, COVID-19 Impact and Global Competition

The global “Carbon Accounting Software Market Size” is expected to rise with an impressive CAGR and generate the highest revenue by 2030. Fortune Business Insights™ in its latest report published this information. The report is titled "Carbon Accounting Software Market Size, Share & Revenue Forecast, 2023-2030". The report discusses research objectives, research scope, methodology, timeline and challenges during the entire forecast period.

Report Highlights:

A comprehensive overview of Carbon Accounting Software Market Size

Significant factors boosting, restricting, challenging and providing an opportunity to the market

Key insights and major industry developments

Significant players functioning in Carbon Accounting Software Market Size

Major strategies adopted by players such as the launch of new products for better revenue generation, company collaborations, and others

Other market trends

An Overview of the Impact of COVID-19 on this Market:

The emergence of COVID-19 has brought the world to a standstill. We understand that this health crisis has brought an unprecedented impact on businesses across industries. However, this too shall pass. Rising support from governments and several companies can help in the fight against this highly contagious disease. There are some industries that are struggling and some are thriving. Overall, almost every sector is anticipated to be impacted by the pandemic.

We are making continuous efforts to help your business sustain and grow during COVID-19 pandemics. Based on our experience and expertise, we will offer you an impact analysis of coronavirus outbreaks across industries to help you prepare for the future.

For More Information, Visit- https://www.fortunebusinessinsights.com/carbon-accounting-software-market-107292

List of Top Key Players in Carbon Accounting Software Market:

Persefoni AI (U.S.)

IBM Environmental Intelligence Suite (U.S.)

Sphera (Germany)

Emitwise (U.K.)

Sinai Technologies (U.S.)

Net Zero Cloud by Salesforce (U.S.)

Greenly (France)

Net0 (U.S.)

Sweep (France)

Diligent Corporation (U.S.)

Regional Analysis for Carbon Accounting Software Market:

North America (the USA and Canada)

Europe (UK, Germany, France, Italy, Spain, Scandinavia and Rest of Europe)

Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)

Latin America (Brazil, Mexico and Rest of Latin America)

Carbon Accounting Software Market Size research report offers a complete assessment of the industry. The projections included in the report have been determined utilizing demonstrated research philosophies and presumptions.

[bryanstrauch-blog]

Bryan Strauch is an Information Technology specialist in Morrisville, NC

Resume: Bryan Strauch

Bryan.strauch@gmail.com   919.820.0552(cell)

Skills Summary

VMWare:  vCenter/vSphere, ESXi, Site Recovery Manager (disaster recovery), Update Manager (patching), vRealize, vCenter Operations Manager, auto deploy, security hardening, install, configure, operate, monitor, optimize multiple enterprise virtualization environments

Compute:  Cisco UCS and other major bladecenter brands - design, rack, configure, operate, upgrade, patch, secure multiple enterprise compute environments. 

Storage: EMC, Dell, Hitachi, NetApp, and other major brands - connect, zone, configure, present, monitor, optimize, patch, secure, migrate multiple enterprise storage environments.

Windows/Linux: Windows Server 2003-2016, templates, install, configure, maintain, optimize, troubleshoot, security harden, monitor, all varieties of Windows Server related issues in large enterprise environments.  RedHat Enterprise Linux and Ubuntu Operating Systems including heavy command line administration and scripting.

Networking: Layer 2/3 support (routing/switching), installation/maintenance of new network and SAN switches, including zoning SAN, VLAN, copper/fiber work, and other related tasks around core data center networking

Scripting/Programming: SQL, Powershell, PowerCLI, Perl, Bash/Korne shell scripting

Training/Documentation:  Technical documentation, Visio diagramming, cut/punch sheets, implementation documentations, training documentations, and on site customer training of new deployments

Security: Alienvault, SIEM, penetration testing, reporting, auditing, mitigation, deployments

Disaster Recovery:  Hot/warm/cold DR sites, SAN/NAS/vmware replication, recovery, testing

Other: Best practice health checks, future proofing, performance analysis/optimizations

Professional Work History

Senior Systems/Network Engineer; Security Engineer

September 2017 - Present

d-wise technologies

Morrisville, NC

Sole security engineer - designed, deployed, maintained, operated security SIEM and penetration testing, auditing, and mitigation reports, Alienvault, etc

responsibility for all the systems that comprise the organizations infrastructure and hosted environments

main point of contact for all high level technical requests for both corporate and hosted environments

Implement/maintain disaster recovery (DR) & business continuity plans

Management of network backbone including router, firewall, switch configuration, etc

Managing virtual environments (hosted servers, virtual machines and resources)

Internal and external storage management (cloud, iSCSI, NAS)

Create and support policies and procedures in line with best practices

Server/Network security management 

Senior Storage and Virtualization Engineer; Datacenter Implementations Engineer; Data Analyst; Software Solutions Developer

October 2014 - September 2017

OSCEdge / Open SAN Consulting (Contractor)

US Army, US Navy, US Air Force installations across the United States (Multiple Locations)

Contract - Hurlburt Field, US Air Force:

Designed, racked, implemented, and configured new Cisco UCS blade center solution

Connected and zoned new NetApp storage solution to blades through old and new fabric switches

Implemented new network and SAN fabric switches

Network: Nexus C5672 switches

SAN Fabric: MDS9148S

Decommissioned old blade center environment, decommissioned old network and storage switches, decommissioned old SAN solution

Integrated new blades into VMWare environment and migrated entire virtual environment

Assessed and mitigated best practice concerns across entire environment

Upgraded entire environment (firmware and software versions)

Security hardened entire environment to Department of Defense STIG standards and security reporting

Created Visio diagrams and documentation for existing and new infrastructure pieces

Trained on site operational staff on new/existing equipment

Cable management and labeling of all new and existing solutions

Implemented VMWare auto deploy for rapid deployment of new VMWare hosts

Contract - NavAir, US Navy:

Upgraded and expanded an existing Cisco UCS environment

Cable management and labeling of all new and existing solutions

Created Visio diagrams and documentation for existing and new infrastructure pieces

Full health check of entire environment (blades, VMWare, storage, network)

Upgraded entire environment (firmware and software versions)

Assessed and mitigated best practice concerns across entire environment

Trained on site operational staff on new/existing equipment

Contract - Fort Bragg NEC, US Army:

Designed and implemented a virtualization solution for the US ARMY. 

This technology refresh is designed to support the US ARMY's data center consolidation effort, by virtualizing and migrating hundreds of servers. 

Designed, racked, implemented, and configured new Cisco UCS blade center solution

Implemented SAN fabric switches

SAN Fabric: Brocade Fabric Switches

Connected and zoned new EMC storage solution to blades 

Specific technologies chosen for this solution include: VMware vSphere 5 for all server virtualization, Cisco UCS as the compute platform and EMC VNX for storage. 

Decommissioned old SAN solution (HP)

Integrated new blades into VMWare environment and migrated entire environment

Physical to Virtual (P2V) conversions and migrations

Migration from legacy server hardware into virtual environment

Disaster Recovery solution implemented as a remote hot site. 

VMware SRM and EMC Recoverpoint have been deployed to support this effort. 

The enterprise backup solution is EMC Data Domain and Symantec NetBackup 

Assessed and mitigated best practice concerns across entire environment

Upgraded entire environment (firmware and software versions)

Security hardened entire environment to Department of Defense STIG standards and security reporting

Created Visio diagrams and documentation for existing and new infrastructure pieces

Trained on site operational staff on new equipment

Cable management and labeling of all new solutions

Contract - 7th Signal Command, US Army:

Visited 71 different army bases collecting and analyzing compute, network, storage, metadata. 

The data collected, analyzed, and reported will assist the US Army in determining the best solutions for data archiving and right sizing hardware for the primary and backup data centers.

Dynamically respond to business needs by developing and executing software solutions to solve mission reportable requirements on several business intelligence fronts

Design, architect, author, implement in house, patch, maintain, document, and support complex dynamic data analytics engine (T-SQL) to input, parse, and deliver reportable metrics from data collected as defined by mission requirements

From scratch in house BI engine development, 5000+ SQL lines (T-SQL)

Design, architect, author, implement to field, patch, maintain, document, and support large scale software tools for environmental data extraction to meet mission requirements

Large focus of data extraction tool creation in PowerShell (Windows, Active Directory) and PowerCLI (VMWare)

From scratch in house BI extraction tool development, 2000+ PowerShell/PowerCLI lines

Custom software development to extract data from other systems including storage systems (SANs), as required

Perl, awk, sed, and other languages/OSs, as required by operational environment

Amazon AWS Cloud (GovCloud),  IBM SoftLayer Cloud, VMWare services, MS SQL engines

Full range of Microsoft Business Intelligence Tools used: SQL Server Analytics, Reporting, and Integration Services (SSAS, SSRS, SSIS)

Visual Studio operation, integration, and software design for functional reporting to SSRS frontend

Contract - US Army Reserves, US Army:

Operated and maintained Hitachi storage environment, to include:

Hitachi Universal Storage (HUS-VM enterprise)

Hitachi AMS 2xxx (modular)

Hitachi storage virtualization

Hitachi tuning manager, dynamic tiering manager, dynamic pool manager, storage navigator, storage navigator modular, command suite

EMC Data Domains

 Storage and Virtualization Engineer, Engineering Team

February 2012 – October 2014

Network Enterprise Center, Fort Bragg, NC

NCI Information Systems, Inc. (Contractor)

Systems Engineer directly responsible for the design, engineering, maintenance, optimization, and automation of multiple VMWare virtual system infrastructures on Cisco/HP blades and EMC storage products.

Provide support, integration, operation, and maintenance of various system management products, services and capabilities on both the unclassified and classified network

Coordinate with major commands, vendors, and consultants for critical support required at installation level to include trouble tickets, conference calls, request for information, etc

Ensure compliance with Army Regulations, Policies and Best Business Practices (BBP) and industry standards / best practices

Technical documentation and Visio diagramming 

Products Supported:

EMC VNX 7500, VNX 5500, and VNXe 3000 Series

EMC FAST VP technology in Unisphere

Cisco 51xx Blade Servers

Cisco 6120 Fabric Interconnects

EMC RecoverPoint

VMWare 5.x enterprise

VMWare Site Recovery Manager 5.x

VMWare Update Manager 5.x

VMWare vMA, vCops, and PowerCLI scripting/automation

HP Bladesystem c7000 Series

Windows Server 2003, 2008, 2012

Red Hat Enterprise and Ubuntu Server

Harnett County Schools, Lillington, NC

Sr. Network/Systems Administrator, August 2008 – June 2011

Systems Administrator, September 2005 – August 2008

Top tier technical contact for a 20,000 student, 2,500 staff, 12,000 device environment District / network / datacenter level design, implementation, and maintenance of physical and virtual servers, routers, switches, and network appliances

Administered around 50 physical and virtual servers, including Netware 5.x/6.x, Netware OES, Windows Server 2000, 2003, 2008, Ubuntu/Linux, SUSE, and Apple OSX 10.4-10.6

Installed, configured, maintained, and monitored around 175 HP Procurve switches/routers Maintained web and database/SQL servers (Apache, Tomcat, IIS and MSSQL, MySQL) Monitored all network resources (servers, switches, routers, key workstations) using various monitoring applications (Solarwinds, Nagios, Cacti) to ensure 100% availability/efficiency Administered workstation group policies and user accounts via directory services

Deployed and managed applications at the network/server level

Authored and implemented scripting (batch, Unix) to perform needed tasks

Monitored server and network logs for anomalies and corrected as needed

Daily proactive maintenance and reactive assignments based on educational needs and priorities Administered district level Firewall/IPS/VPN, packet shapers, spam filters, and antivirus systems Administered district email server and accounts 

Consulted with heads of all major departments (finance, payroll, testing, HR, child nutrition, transportation, maintenance, and the rest of the central staff) to address emergent and upcoming needs within their departments and resolve any critical issues in a timely and smooth manner Ensure data integrity and security throughout servers, network, and desktops

Monitored and corrected all data backup procedures/equipment for district and school level data

Project based work through all phases from design/concept through maintenance

Consulted with outside contractors, consultants, and vendors to integrate and maintain various information technologies in an educational environment, including bid contracts

Designed and implemented an in-house cloud computing infrastructure utilizing a HP Lefthand SAN solution, VMWare’s ESXi, and the existing Dell server infrastructure to take full advantage of existing technologies and to stretch the budget as well as provide redundancies

End user desktop and peripherals support, training, and consultation

Supported Superintendents, Directors, all central office staff/departments, school administration offices (Principals and staff) and classroom teachers and supplementary staff

Addressed escalations from other technical staff on complex and/or critical issues 

Utilized work order tracking and reporting systems to track issues and problem trends

Attend technical conferences, including NCET, to further my exposure to new technologies

Worked in a highly independent environment and prioritized district needs and workload daily Coordinated with other network admin, our director, and technical staff to ensure smooth operations, implement long term goals and projects, and address critical needs

Performed various other tasks as assigned by the Director of Media and Technology and

Superintendents

Products Supported

Microsoft XP/Vista/7 and Server 2000/2003/2008, OSX Server 10.x, Unix/Linux

Sonicwall NSA E8500 Firewall/Content filter/GatewayAV/VPN/UTM Packeteer 7500 packet shaping / traffic management / network prioritization

180 HP Procurve L2/L3 switches and HP Procurve Management Software

Netware 6.x, Netware OES, SUSE Linux, eDirectory, Zenworks 7, Zenworks 10/11

HP Lefthand SAN, VMWare Server / ESXi / VSphere datacenter virtualization

Solarwinds Engineer Toolset 9/10 for Proactive/Reactive network flow monitoring

Barracuda archiving/SPAM filter/backup appliance, Groupwise 7/8 email server

Education

Bachelor of Science, Computer Science

Minor: Mathematics

UNC School System, Fayetteville State University, May 2004

GPA: 3

High Level Topics (300+):

Data Communication and Computer Networks

Software Tools

Programming Languages

Theory of Computation

Compiler Design Theory

Artificial Intelligence

Computer Architecture and Parallel Processing I

Computer Architecture and Parallel Processing II

Principles of Operating Systems

Principles of Database Design

Computer Graphics I

Computer Graphics II

Social, Ethical, and Professional Issues in Computer Science

Certifications/Licenses:

VMWare VCP 5 (Datacenter)

Windows Server 2008/2012

Windows 7/8

Security+, CompTIA

ITILv3, EXIN

Certified Novell Administrator, Novell

Apple Certified Systems Administrator, Apple

Network+ and A+ Certified Professional, CompTIA

Emergency Medical Technician, NC (P514819)

Training:

Hitachi HUS VM

Hitachi HCP

IBM SoftLayer

VMWare VCP (datacenter)

VMWare VCAP (datacenter)

EMC VNX in VMWare

VMWare VDI (virtual desktops)

Amazon Web Services (AWS)

Emergency Medical Technician - Basic, 2019

EMT - Paramedic (pending)

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The IBM Institute of Business Value: Global C-suites

What is top of mind for global business leaders?

Every year, the IBM Institute for Business Value (IBV) interviews C-suite leaders from around the world to discover what outperformers do differently. Since 2003, the IBV has collected data and insights from more than 50,000 executives and academics worldwide.

Our C-suite Studies examine how executives’ perspectives have shifted over time—and what they expect to see in the future. Read our role-specific reports to learn what business leaders think about technology trends, business priorities, and how organizations can thrive today.

Access the following reports by role:

CEO : Practical Pathways to Transformational Sustainability

There has never been a more vital moment for CEOs to embrace sustainability as a core aspect of business strategy. It’s clear that environmentally minded organizations are set up for long-term success-and the time to act is now.

CEO Study: Own your impact | IBM

CIO : The CIO Revolution

Even in the mindset of uncertainty, CIOs are collaborating with colleagues to meet fast-changing demands and driving value throughout their enterprises and beyond.

2021 CIO Study: The CIO Revolution | IBM

CTO: The CTO Revelation

The ascent of the CTO is radically influencing a stronger sense of responsibility around technology decisions, the speed of innovation, and discovery of new solutions.

2021 CTO Study: The CTO Revelation | IBM

CFO: Strategic Intelligence:

Faced with a paradox of responsibilities-protecting stability while fueling transformation – CFOs are innovating ways to optimize their own potential and that of their teams.

CFO Study: Strategic Intelligence | IBM

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Corporate events 

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IBM y la NASA crean un modelo fundacional de IA geoespacial de código abierto en Hugging Face

Continue reading Untitled

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IBM desenvolve software de Inteligência Artificial que ajuda na redução de poluição

IBM desenvolve software de Inteligência Artificial que ajuda na redução de poluição

A IBM anunciou recentemente a solução Environmental Intelligence Suite, onde se inclui um software de inteligência artificial, que tem como intuito permitir que as empresas avaliem o seu impacto ambiental, e para que possam diminuir as suas emissões poluentes. A Environmental Intelligence Suite, através de Inteligência Artificial, fornece dados meteorológicos na sua plataforma de gestão […]

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Environmental Sensor Market (2019-2027) ABB Ltd., Delphi Automotive PLC

The Environmental Sensor Market Research report provides an in-depth analysis of the industry, including current and future growth patterns, end-user analysis and key data that have been validated by experts. This report examines the market's importance, share and size, demand and supply as well as models, competitive landscape, industry chain analysis and other important factors. It also includes a detailed analysis of the industry's driving factors and the likely micro-economic factors that will affect its future development.

The Environmental Sensor Market Research Report assesses the global Environmental Sensor Marketplace industry market. It includes sales and capacity forecasts for 2021-2028. This report highlights the key factors that are driving industry growth. For a better understanding of the Environmental Sensor market, the report splits it into broad categories, such as forms and applications, end-user, technology, etc. These segments are examined carefully to provide a greater understanding of global and regional markets. The report includes details of key industry players such as company overviews, product portfolios, growth strategies, revenue generation and revenue sharing, market share and size, geographical presence and market size forecast and development.

Environmental Sensor Market is expected to reach US$ XX Mn by 2027 with a CAGR of XX% in the forecasting period 2019-2027.

Get a Sample PDF of the Report at : Request Free Sample Report

The market segments and sub-segments have been thoroughly researched and the report has determined which market segment is likely to dominate the market in the future. This report includes detailed information on regional market performance and competitive analysis in order to assist clients in making informed decisions about their investments in the Environmental Sensor market.

The report includes extensive analysis of market leaders, their business overview, expansion plans and strategies. The report covers the following:

• ABB Ltd. • Delphi Automotive PLC • Free scale Semiconductor Ltd. • Honeywell International Inc. • Omron Corporation • STMicroelectronics • N.V. • Robert Bosch GmbH • Schneider Electric SE. • Bosch Sensortec • Sensirion • AMS AG • Raritan • Siemens • Texas Instruments • Amphenol • IDT • AVTECH • Analog Devices • Apogee Instruments • TE Connectivity • NuWave Sensors • Elichens • Aclima • Breeze Technologies

Environmental Sensor Market Segmentation

The key players in Environmental sensor market ABB Ltd., Delphi Automotive PLC, Free scale Semiconductor Ltd., Honeywell International Inc., Omron Corporation, STMicroelectronics, N.V., Robert Bosch GmbH, and Schneider Electric SE.

Environmental Sensor Market, by Product Type

The report also helps in understanding Environmental Sensor Market dynamics, structure by analyzing the market segments, and project the Environmental Sensor Market size. Clear representation of competitive analysis of key players by type, price, financial position, product portfolio, growth strategies, and regional presence in the Environmental Sensor Market make the report investor’s guide.

Environmental Sensor Market Report Scope

Environmental Sensor Market, By Type

• Temperature • Humidity • Air Quality • Water Quality • Integrated • UV • Soil Moisture Environmental Sensor Market By Vertical

• Government • Commercial • Industrial • Residential • Consumer • Enterpris Environmental Sensor Market By Location

• Indoor • Outdoor • Portable Environmental Sensor Market By Application

• Particulate Matter • Air • Gas • Water • Soil • Noise • Bathroom

REPORT ATTRIBUTE INFO

For years 2021-2028, market size available

Considered the base year for 2021

Historical data 2015-2020

Forecast Period 2021-2028

Segments covered Types, Applications and End-Users.

Report Coverage Revenue Forecast, Company ranking, Competitive Landscape and Growth Factors and market trends

Regional Scope North America. Europe, Asia Pacific. Latin America. Middle East and Africa.

You can customize your report for free when you purchase. Modification or addition to the country, regional and segment scope.

Pricing and purchase options. You can get a customized purchase option to suit your specific research needs. Check out your purchase options

Geographic Segment Covered by the Report

The Environmental Sensor Report provides market information, which is further sub-divided into regions and countries. This report includes information on profit potentials, in addition to market share data for each country. This section includes information about the market share, growth rate and economic opportunities for each region, sub-region and countries in the period.

Middle East and Africa (GCC Countries & Egypt)

North America (The United States and Canada).

South America (Brazil etc.)

Europe (Turkey, Germany, Russia UK, Italy, France, etc.)

Asia-Pacific (Vietnam. China. Malaysia. Japan. Philippines. Korea. Thailand. India. Indonesia.

Visualize Environmental Sensor Market using Maximize Market Intelligence:-

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Maximize Market Research (MMR) provides syndicated and custom-designed business and market research on 6,000 emerging technologies and potential opportunities within Chemical, Healthcare, Pharmaceuticals, Electronics & Communications, Internet of Things, Food and Beverages, Aerospace and Defence and various other industries. MMR is well-positioned to analyse forecast, estimate and predict the size of the market, along with the analysis of the competitive landscape in the industry. In addition our experts in the field can help you predict and forecast the life cycle of products disruptions, disruptive technologies, and the changes to the marketplace. This allows business leaders and decision-makers to make informed and objective decisions that aid in strategic planning over two decades to come. Maximize Market Research has been an effective partner for a variety of prominent clients like Yamaha, Sensata, Etnyre in Canada and ALCOR M&A Microsoft. Yamaha BASF Shell ,IBM,Samsung, Apex Unisys Siemens ,Hitachi ,PWC, EY ,SKF ,Bayer, Cheiljedang ,Atlas, Copco Alcor, LG Electronics, Tata Motors, Schneider Electronics ,Kearney, Midea Thyssenkrupp,L3Harris, ITC P&G 3M Tenaris HUL Allstate MRF Bridgestone ,Godrej Industries ,Tata Chemical etc.

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More Report Related links: Signaling Devices Market

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Intelligent Risk Management Market Global Analysis 2021-2028: Tencent, Taifinance, OTSO, Finshell, ATPlatform, Etc.

A research study conducted on the global Intelligent Risk Management market offers substantial information about market size and estimation, market share, global growth, and product significance. The Intelligent Risk Management market report consists of a thorough analysis of the market which will help clients acquire Intelligent Risk Management market knowledge and use for business purposes. This report provides data to the customers that is of historical as well as statistical significance making it usefully informative. Crucial analysis done in this report also includes studies of the market dynamics, market segmentation and map positioning, market share, supply chain & Industry demand, challenges as well as threats and the competitive landscape. Business investors can acquire the quantitative and qualitative knowledge provided in the global Intelligent Risk Management market report.

Key players profiled in the report includes:

Tencent

Taifinance

OTSO

Finshell

ATPlatform

Tongdun

TRS

Xpaite

We Have Recent Updates of Intelligent Risk Management Market in Sample Copy@ https://www.orbisresearch.com/contacts/request-sample/5802141?utm_source=PoojaA4e

Drivers responsible for the economic growth in the past, present, and future along with market volume, cost structure and potential growth factors provide an all-inclusive data of the Intelligent Risk Management market. Along with this, the Intelligent Risk Management market trends, and geographic dominance and regional segmentation forms the most significant part of the research study. These are the factors responsible for the anticipated growth of the Intelligent Risk Management market. However, regional segmentation specifies whether the USA, UK, China, or Europe will dominate the Intelligent Risk Management market in future. This report also includes an environmental perspective in that the growing concerns of imbalanced ecosystems, emergence of sustainability as key concerns in most of the industries and reducing waste. The global Intelligent Risk Management market report includes data regarding how Intelligent Risk Management industries across the globe are adapting to more sustainable strategies for the benefit of the mankind. Also, special efforts taken by the Intelligent Risk Management industry to spread awareness by implementing strategies to the new world post pandemic are of great significance in this report.

By the product type, the market is primarily split into

Software

Platform

Service

By the end-users/application, this report covers the following segments

Bank

Securities

E-commerce

Other

Global Intelligent Risk Management Market: Key Highlights of the Report for 2020-2028 • Compound Annual Growth Rate (CAGR) of the market in forecast years 2020-2028 is given. The data provided here about the Intelligent Risk Management market accurately determines the performance investments over a period of time. It helps the businesses drive their financial goals to fulfillment. • Detailed information on key factors that are expected to drive global Intelligent Risk Management market growth during the next five to ten years is provided in the report. • Accurate market size estimates and the contribution of the parent market in the Intelligent Risk Management market share and size. • A detailed analysis of the upcoming trends, opportunities, threats, risks, and changes of consumer behavior towards the products and services. • Demographics of growth in the Intelligent Risk Management market across different countries in the geographical regions such as America, APAC, MEA, and Europe. • Information on the major vendors in the Intelligent Risk Management market and competitive analysis. • Comprehensive details of the vendors that drive the Intelligent Risk Management market.

Geographical Segmentation and Competition Analysis – North America (U.S., Canada, Mexico) – Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) – Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) – Latin America (Brazil, Rest of L.A.) – Middle East and Africa (Turkey, GCC, Rest of Middle East)

Browse Full Report with Facts and Figures of Intelligent Risk Management Market Report at @ https://www.orbisresearch.com/reports/index/intelligent-risk-management-market-global-analysis-2021-2028-insights-on-leading-players-type-applications-regions-and-future-opportunities?utm_source=PoojaA4e

Report Highlights • Provides forecast trends for the year 2021-2027 for the global Intelligent Risk Management market. • Net profit gained by leading enterprises in particular segments is highlighted in the study. • To study growth and productivity of the global Intelligent Risk Management market companies. • Provides information on diversified ancillary activities involved in the global Intelligent Risk Management market. • The demand for local goods and services in the global Intelligent Risk Management market. • Public interventions regulating the Intelligent Risk Management market. • The study highlights the difficulties faced by producers and consumers to market the products and services in the Intelligent Risk Management industry.

The report forecasts or predicts the future behavior or future trends of the global Intelligent Risk Management market based on its productivity and growth factors. Strategies adopted the leading players for effective utilization and modernization of their existing resources for maximum profits is briefed in the study.

Table of Contents Chapter One: Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered: Ranking by Intelligent Risk Management Revenue 1.4 Market Analysis by Type 1.4.1 Global Intelligent Risk Management Market Size Growth Rate by Type: 2020 VS 2028 1.5 Market by Application 1.5.1 Global Intelligent Risk Management Market Share by Application: 2020 VS 2028 1.6 Study Objectives 1.7 Years Considered

Chapter Two: Global Growth Trends by Regions 2.1 Intelligent Risk Management Market Perspective (2015-2028) 2.2 Intelligent Risk Management Growth Trends by Regions 2.2.1 Intelligent Risk Management Market Size by Regions: 2015 VS 2020 VS 2028 2.2.2 Intelligent Risk Management Historic Market Share by Regions (2015-2020) 2.2.3 Intelligent Risk Management Forecasted Market Size by Regions (2021-2028) 2.3 Industry Trends and Growth Strategy 2.3.1 Market Top Trends 2.3.2 Market Drivers 2.3.3 Market Challenges 2.3.4 Porter’s Five Forces Analysis 2.3.5 Intelligent Risk Management Market Growth Strategy 2.3.6 Primary Interviews with Key Intelligent Risk Management Players (Opinion Leaders)

Chapter Three: Competition Landscape by Key Players 3.1 Global Top Intelligent Risk Management Players by Market Size 3.1.1 Global Top Intelligent Risk Management Players by Revenue (2015-2020) 3.1.2 Global Intelligent Risk Management Revenue Market Share by Players (2015-2020) 3.1.3 Global Intelligent Risk Management Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3) 3.2 Global Intelligent Risk Management Market Concentration Ratio 3.2.1 Global Intelligent Risk Management Market Concentration Ratio (CRChapter Five: and HHI) 3.2.2 Global Top Chapter Ten: and Top 5 Companies by Intelligent Risk Management Revenue in 2020 3.3 Intelligent Risk Management Key Players Head office and Area Served 3.4 Key Players Intelligent Risk Management Product Solution and Service 3.5 Date of Enter into Intelligent Risk Management Market 3.6 Mergers & Acquisitions, Expansion Plans

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At the end of the report, readers are expected to understand the following market scenarios:

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Artificial Intelligence Market Size, Share and Global Market Forecast to 2026 : MarketsandMarkets

According to new market research report "Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Deployment Mode, Organization Size, Business Function (Law, Security), Vertical, and Region - Global Forecast to 2026", published by MarketsandMarkets™,  the global Artificial Intelligence Market size to grow from USD 58.3 billion in 2021 to USD 309.6 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 39.7% during the forecast period.

 Various factors such as growth of data-based AI and advancement in deep learning and need to achieve robotic autonomy to stay competitive in a global market are expected to drive the adoption of the AI solutions and services.

 Browse and in-depth TOC on “Artificial Intelligence Market”

312 – Tables

273 - Figures

427 – Pages

 COVID-19 is disrupting the world, businesses, and economies, impacting the livelihood of people, their interactions, education systems, and the way people manage their businesses. The ability to sustain has become the new normal as enterprises are concentrating on implementing drastic measures to mitigate the impact of the COVID-19 pandemic. The development of AI solutions has witnessed a slow growth in the first half of 2020 due to the global lockdown. However, the adoption of AI solutions is expected to increase tremendously during the forecast period. A wide range of tools and solutions are being adopted during the pandemic to detect and enforce social distancing and limit the spread of COVID-19. The competition among major AI companies is expected to be furious as new opportunities for AI solutions have grown due to remote work and remote education. New practices such as work from home and social distancing are creating the need for remote monitoring, smart payment technologies, and building the digital infrastructure for large-scale deployments. With a sudden surge in remote workers and online learners, there is an increase in the demand for advanced AI solutions and services.

 Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=74851580 The services segment to hold higher CAGR during the forecast period

Based on components, the Artificial Intelligence Market is segmented into hardware, software, and services. The software segment of the report is sub segmented into application programming interface (API) and ML framework, the hardware segment is bifurcated into processor, memory, and network, whereas the services segment is segmented into deployment and integration, and support and maintenance. The services segment is expected to account for higher CAGR during the forecast due to the growing use of AI and analytics for policymaking, environmental analysis, and real-time decision-making.

The ML segment to have larger market size during the forecast period

The AI market has been segmented by technology into ML, NLP, context-aware computing, and computer vision. The market share of ML technology is higher attributed to the enormous availability of data, also called big data, and the increasing adoption of ML by enterprises and federal agencies to gain useful insights.

Healthcare and Life Sciences segment to have the higher CAGR during the forecast period

The AI market by vertical has been categorized into 8 different verticals, namely, BFSI, retail and ecommerce, automotive, government and defense, healthcare and life sciences, telecom and IT, energy and utilities, manufacturing, and others (education, media and entertainment, and travel and hospitality). Factors such as the presence of a large volume of imaging data, advantages offered by AI systems to radiologists in diagnosis and treatment management, and the influx of a large number of start-ups in this segment are fueling the growth of healthcare and life sciences segment in Artificial Intelligence Market.

Request Sample: https://www.marketsandmarkets.com/requestsampleNew.asp?id=74851580 North America to account for larger market size during the forecast period

The AI market is segmented into five geographic regions: North America, Europe, APAC, MEA, and Latin America. Among these regions, North America is projected to hold the largest market share during the forecast period. The key factor supporting the growth of the AI market in this region is the wide-scale adoption of AI technologies in several industries, such as healthcare, automotive, agriculture, retail, marketing, and law.

Major vendors in the global Artificial Intelligence Market include Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), Baidu, Inc. (China), Intel Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Amazon Web Services, Inc. (US), SAS Institute Inc. (US), Facebook, Inc. (US), SAP SE (Germany), Salesforce.com, Inc. (US), NVIDIA Corporation (US), Oracle (US), Cisco (US), Siemens (US), Huawei (China), Alibaba Cloud (China), iFLYTEK (China), Hewlett Packard Enterprise Development LP (US), General Vision Inc. (US), Graphcore (UK), Mellanox Technologies (US), Darktrace (UK), Cylance Inc. (US), Didi Chuxing Technology Co. (China), Zoox (US), Face++ (China), Inbenta (US), Zephyr Health Inc. (US), Butterfly Network (US), Atomwise Inc. (US), Vicarious (US), Preferred Network Inc. (Japan), AIBrain LLC (US), Wave Computing Inc. (US), Mythic (US), Adapteva (US), Koniku Inc. (US), KnuEdge Inc. (US), SK Hynix Inc. (South Korea), Progress DataRPM (US), Descartes Labs (US), Gamaya (Switzerland), EC2CE (Spain), Precision Hawk(US), Agribotix (US), Neurala (US), Iris Automation (US), Pilot AI Labs Inc.(US), Sentient Technologies (US), Applied Brain Research (Canada), Twitter (US), InsideSales (US), Persado (US), Mariana (US), Drawbridge (US), Narrative Science (US), Appier (Taiwan), Zensed (Sweden), and GumGum Inc. (US).

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

 Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

 MarketsandMarkets’s flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

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Email: sales@marketsandmarkets.com Content Source: https://www.marketsandmarkets.com/PressReleases/artificial-intelligence.asp

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