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#Cloud Computing service company
aequitasinfotech · 5 months
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geitpl · 1 year
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The Impact of Cloud Computing on IT Companies
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Cloud computing has changed the way we store and access data. The ability to store data remotely and access it from any location with an internet connection has transformed the way businesses operate. For IT companies, the impact of cloud computing has been particularly significant. In this blog post, we will explore the impact of cloud computing on IT companies in detail. 
1.Increased Efficiency.
One of the biggest impacts of cloud computing on IT companies is the increased efficiency that it brings. With cloud computing, IT companies can automate many of their processes and workflows, reducing the need for manual intervention. This not only saves time and effort but also reduces the risk of errors and ensures consistency in operations.
Cloud computing also enables IT companies to scale their operations quickly and easily. They can add or remove resources on-demand, depending on their needs. This agility allows IT companies to respond quickly to changes in demand, ensuring that they can deliver high-quality services to their clients. 
2.Improved Collaboration. 
Another significant impact of cloud computing on IT companies is the improved collaboration that it enables. Cloud-based collaboration tools such as Google Docs and Microsoft Teams allow team members to work together in real-time, regardless of their location. This means that IT companies can collaborate more effectively with their clients, partners, and other stakeholders.
Cloud-based collaboration tools also enable IT companies to work more efficiently with remote teams. With the ability to share files and work on documents in real-time, remote teams can work together seamlessly, ensuring that projects are delivered on time and within budget. 
3.Reduced Costs. 
Cloud computing has also had a significant impact on the costs of IT companies. By leveraging cloud-based infrastructure and services, IT companies can reduce their capital expenditures and move to an operational expenditure model. This means that they only pay for the resources and services that they use, rather than having to invest in expensive hardware and software upfront.  
Cloud computing also eliminates the need for IT companies to maintain their own infrastructure and data centres, reducing the costs associated with maintenance, upgrades, and security. Cloud providers handle these tasks, freeing up IT companies to focus on their core competencies and deliver high-quality services to their clients. 
4.Enhanced Security.
Security is a critical concern for IT companies, and cloud computing has had a significant impact on the security landscape. Several measures are taken  by cloud providers to protect their customer's data including encrypting their data, restricting access and detecting threats.
   Cloud providers also employ teams of security experts who monitor their infrastructure and services 24/7, ensuring that any security issues are identified and addressed quickly. This level of security is often beyond the capabilities of individual IT companies, making cloud computing an attractive option for those looking to improve their security posture.
5.Improved Client Service. 
Finally, cloud computing has had a significant impact on the service that IT companies can provide to their clients. Cloud-based services allow IT companies to deliver high-quality services to their clients, regardless of their location. This means that IT companies can serve clients in different regions, without the need for physical offices or infrastructure in those regions. 
Cloud-based services also enable IT companies to offer flexible and scalable services to their clients. They can easily add or remove resources as needed, ensuring that their clients have access to the resources they need to support their business operations. 
Conclusion 
Cloud computing has had a significant impact on IT companies, enabling them to operate more efficiently, collaborate more effectively, reduce costs, enhance security, and improve client service. As cloud technology continues to evolve, we can expect to see even more significant impacts on the IT industry. IT companies that embrace cloud computing and leverage its benefits will be well-positioned to succeed in the increasingly competitive technology landscape.
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bdccglobal · 1 year
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Looking for a reliable and secure cloud solution for your enterprise? Consider Azure - Microsoft's cloud platform that offers a range of services to help you scale and innovate your business in the cloud.
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phoneme-solution · 2 years
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algoson · 2 hours
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At Algoson Software, our expert engineers are dedicated to creating Innovative AI-based Products and software solutions. Utilizing cutting-edge technologies, we deliver exceptional products at competitive prices. For inquiries, contact us at +91-78375-88185 or email us at [email protected].
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pattem · 2 days
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Discovering the Power of Java in Cloud Computing
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Introduction to a new era of development
Java and cloud computing have played an important role in the development field. These technologies made a drastic change in the field by making it easy for developers to produce the most interactive and effective applications. The combination of this duo has leveled up the industry to a greater extent. Businesses are shifting their web applications towards the cloud to utilize its full potential. Cloud computing enables companies to expand and manage their applications while reducing infrastructure costs and ensuring excellent performance. The robustness and the ability to handle complex tasks make Java the perfect choice for developing web applications for the cloud. In this blog, we will explore the advantages and features of Java cloud computing.
Java is the new way of developing 
Java is an Object-Oriented Programming language (OOP) that mainly deals with objects, classes, functions, methods, etc. This allows the developers to standard programs and reusable code. The main reason why developers prefer Java is because of its principle, “Write Once and Run Anywhere”. Java is more secure, portable, and maintainable when compared to other programming languages. Java uses methods like polymorphism and multithreading capabilities that handle more complex data. It is mainly used for developing desktop applications, server applications, system software, etc. Java simplifies the development and maintenance of cloud computing applications. Java can be used in various platforms and development processes from Android applications to building enterprise-level applications. 
Empowering Industry with Java Cloud Computing
Java-based web applications help in developing the most interactive and efficient applications in the field. These Java-based cloud platforms offer multiple features such as Platform independence, Scalability, Security, Ecosystem, and community support. Frameworks such as SpringBoot, Micronaut, Vert. x, and Quarkus helps the developers to develop cloud-based web applications with Java that results in increasing the performance of the applications. Moreover, Application Program Interfaces (API) like Java Database Connectivity (JDBC), JavaServer Pages (JSP), etc. These API’s help developers for database connectivity, messaging, web development, and email communication. The cross-platform compatibility, scalability, robustness, adaptability, and interactions with cloud services make it an effective programming language for developing cloud-based applications. 
Maximizing business with Java Cloud computing 
Many platforms support Java cloud computing such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. These platforms provide services and frameworks for the Java developers that make their business set a trademark. Java developers have access to some frameworks which help them to create and manage cloud-based applications. SpringBoot, Quarkus, and MicroNaut are some of the most used frameworks. These frameworks integrate with a variety of cloud platforms like AWS, GCP, etc. Java in cloud-based applications provides several advantages like portability across cloud platforms, and increased productivity with the help of vast ecosystems, libraries, communities, and frameworks. Java-based cloud applications can handle multiple requests which boosts the development and deployment process of cloud-based applications.  
Summarizing the amazing features of Java in cloud computing
In conclusion, developing an effective and innovative application is the ultimate goal for developers. Most companies prefer Java for its WORA principle, portability to use, and security features. Using Java for developing cloud-based applications enables the developers to create an interactive website in the industry. Selecting the right Java application development company also has a great impact on the company’s growth. We possess a talented team of Java developers who help you to meet the latest business trends and developments. We always stay ahead of our competitors by working on current technologies. We maintain an immense track record of customer satisfaction. Together, we set a landmark in the business world.
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jcmarchi · 4 days
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Local Generative AI: Shaping the Future of Intelligent Deployment
New Post has been published on https://thedigitalinsider.com/local-generative-ai-shaping-the-future-of-intelligent-deployment/
Local Generative AI: Shaping the Future of Intelligent Deployment
2024 is witnessing a remarkable shift in the landscape of generative AI. While cloud-based models like GPT-4 continue to evolve, running powerful generative AI directly on local devices is becoming increasingly viable and attractive. This local execution of generative AI can transform how small businesses, developers, and everyday users benefit from AI. Let’s explore the critical aspects of this exciting trend.
Breaking Free from Cloud Dependency
Traditionally, generative AI has relied on cloud services for its computational power. Although the cloud has driven significant innovation, it faces several challenges in deploying generative AI applications. Increasing data breaches have heightened concerns about keeping sensitive information secure. Processing data locally with on-device AI minimizes exposure to external servers.
Cloud-based AI also needs help with latency issues, leading to slower responses and a less smooth user experience. On-device AI can significantly reduce latency, providing faster responses and a smoother experience, which is particularly crucial for real-time applications like autonomous vehicles and interactive virtual assistants.
Another critical challenge for cloud-based AI is sustainability. Data centers, the backbone of cloud computing, are notorious for high energy consumption and a substantial carbon footprint. As the world grapples with climate change, reducing technology’s environmental impact has become paramount. Local generative AI offers a compelling solution, reducing reliance on energy-intensive data centers and minimizing the need for constant data transfers.
Cost is another significant factor. While cloud services are robust, they can be expensive, especially for continuous or large-scale AI operations. By harnessing the power of local hardware, companies can reduce operational costs, which is particularly beneficial for smaller businesses and startups that may find cloud computing costs prohibitive.
Additionally, continuous dependency on an internet connection is a significant drawback of cloud-based AI. On-device AI eliminates this dependency, allowing uninterrupted functionality even in areas with poor or no internet connectivity. This aspect is particularly advantageous for mobile applications and remote or rural areas where internet access may be unreliable.
We witness a remarkable transformation towards local generative AI as these factors converge. This shift promises enhanced performance, improved privacy, and greater democratization of AI technology, making powerful tools available to a broader audience without the need for constant internet connectivity.
The Surge in Mobile Generative AI with Neural Processing Units
Besides the challenges of cloud-powered generative AI, integrating AI capabilities directly into mobile devices is emerging as a pivotal trend in recent years. Mobile phone manufacturers increasingly invest in dedicated AI chips to enhance performance, efficiency, and user experience. Companies like Apple with its A-series chips, Huawei with its Ascend AI processor, Samsung with its Exynos lineup, and Qualcomm with its Hexagon neural processing units are leading this charge.
Neural Processing Units (NPUs) are emerging as specialized AI processors designed to implement generative AI on mobile devices. These brain-inspired processors handle complex AI tasks efficiently, enabling faster and more accurate data processing directly on mobile devices. Integrated with other processors, including CPU and GPU, into their SoCs (System-on-a-Chip), NPUs efficiently cater to the diverse computational needs of generative AI tasks. This integration allows generative AI models to run more smoothly on the device, enhancing the overall user experience.
The Emergence of AI PCs for Enhancing Everyday Tasks with Generative AI
The rising integration of generative AI into everyday applications, such as Microsoft Office or Excel, has given rise to AI PCs. Significant advancements in AI-optimized GPUs support this emergence. Initially designed for 3D graphics, graphical processing units (GPUs) have proven remarkably effective at running neural networks for generative AI. As consumer GPUs advance for generative AI workloads, they also become increasingly capable of handling advanced neural networks locally. For instance, the Nvidia RTX 4080 laptop GPU, released in 2023, leverages up to 14 teraflops of power for AI inference. As GPUs become more specialized for ML, local generative AI execution will scale significantly in the coming days.
AI-optimized operating systems support this development by dramatically speeding up the processing of generative AI algorithms while seamlessly integrating these processes into the user’s everyday computing experience. Software ecosystems have been evolving to leverage generative AI capabilities, with AI-driven features such as predictive text, voice recognition, and automated decision-making becoming core aspects of the user experience.
The implications of this technological leap are profound for both individual consumers and enterprises. For consumers, the appeal of AI PCs is substantial due to their convenience and enhanced functionality. For enterprises, the potential of AI PCs is even more significant. Licensing AI services for employees can be costly, and legitimate concerns about sharing data with cloud AI platforms exist. AI PCs offer a cost-effective and secure solution to these challenges, allowing businesses to integrate AI capabilities directly into their operations without relying on external services. This integration reduces costs and enhances data security, making AI more accessible and practical for workplace applications.
Transforming Industries with Generative AI and Edge Computing
Generative AI is rapidly transforming industries across the globe. Edge computing brings data processing closer to devices, reducing latency and enhancing real-time decision-making. The synergy between generative AI and edge computing allows autonomous vehicles to interpret complex scenarios instantly and intelligent factories to optimize production lines in real-time. This technology empowers next-generation applications, such as smart mirrors providing personalized fashion advice and drones analyzing crop health in real-time.
According to a report, over 10,000 companies building on the NVIDIA Jetson platform can now leverage generative AI to accelerate industrial digitalization. The applications include defect detection, real-time asset tracking, autonomous planning, human-robot interactions, and more. ABI Research predicts that generative AI will add $10.5 billion in revenue for manufacturing operations worldwide by 2033. These reports underscore the crucial role that local generative AI will increasingly play in driving economic growth and fostering innovation across various sectors shortly.
The Bottom Line
The convergence of local generative AI, mobile AI, AI PCs, and edge computing marks a pivotal shift in harnessing AI’s potential. By moving away from cloud dependency, these advancements promise enhanced performance, improved privacy, and reduced costs for businesses and consumers alike. With applications spanning from mobile devices to AI-driven PCs and edge-enabled industries, this transformation democratizes AI and accelerates innovation across diverse sectors. As these technologies evolve, they will redefine user experiences, streamline operations, and drive significant economic growth globally.
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useitcomputersblog · 4 days
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Top Personal Cloud Backup and Data Recovery Services in the UK
Discover the best personal cloud backup and data recovery services in the UK with Use-IT. Our comprehensive data backup solutions ensure your valuable information is always secure. As a leading data recovery company, we offer professional file recovery and disaster recovery solutions tailored to your needs. Whether you need a data recovery specialist or a data recovery company near you, our expert team is ready to assist. Trust Use-IT for reliable data recovery services across the UK, ensuring peace of mind with top-tier protection and recovery options. Explore our services now for unmatched data security.
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mediasumcircle · 5 days
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techygrowth · 6 days
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Cloud computing consulting companies offer a variety of services like, Cloud migration, cloud strategy, cloud security, IT consulting and cloud management. Before selecting the best company look for, experience, testimonials of clients, Offering multiple services and ensure they provide support.
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Exploring Cloud Computing and DevOps Companies in India
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In today’s digital age, cloud computing has become the backbone of many businesses, enabling them to scale, innovate and compete more effectively. India, with its booming IT sector, has emerged as a major player in the cloud computing industry. Let's dive into the world of cloud computing and DevOps companies in India and see how they are shaping the future of technology.
The Rise of Cloud Computing Companies in India
India's cloud computing landscape has witnessed significant growth over the past decade. Major tech hubs like Bengaluru, Hyderabad and Pune are home to numerous cloud computing companies that cater to both domestic and international markets. These companies offer a variety of services, including cloud storage, computing power and application hosting.
One of the primary reasons behind this growth is the adoption of cloud technologies by startups and large enterprises alike. The flexibility, scalability and cost-effectiveness of cloud solutions make them an attractive option for businesses looking to streamline their operations and enhance productivity.
Why AWS Development in India is Thriving
Amazon Web Services (AWS) has been a game-changer in the cloud computing arena and its presence in India is no exception. AWS development in India has seen a remarkable rise, thanks to the country's large pool of skilled developers and IT professionals. Indian companies are leveraging AWS to build robust, scalable and secure applications that meet the diverse needs of their clients.
AWS offers a comprehensive suite of cloud services that cater to various industries, including healthcare, finance and e-commerce. Indian businesses are increasingly adopting these services to drive digital transformation, enhance customer experience and achieve operational excellence.
Exploring DevOps Companies in India
DevOps, a set of practices that combines software development (Dev) and IT operations (Ops), has gained immense popularity in India. DevOps companies in India are helping organizations streamline their software development and deployment processes, ensuring faster delivery of high-quality software.
These companies employ a range of DevOps tools and methodologies to automate workflows, improve collaboration and enhance efficiency. By integrating development and operations teams, they are able to reduce the time it takes to bring new features and updates to market.
The Impact of Cloud and DevOps on Businesses
The integration of cloud computing and DevOps practices has had a profound impact on businesses across various sectors. Companies are now able to deploy applications more rapidly, respond to market changes more efficiently and scale their operations seamlessly. This agility is crucial in today’s fast-paced business environment, where staying ahead of the competition requires constant innovation and adaptability.
Moreover, cloud computing and DevOps enable businesses to optimize their IT infrastructure, reduce costs and improve security. By moving to the cloud, companies can avoid the capital expenses associated with traditional IT infrastructure and pay only for the resources they use. DevOps practices, on the other hand, help in identifying and addressing issues early in the development cycle, thereby reducing downtime and enhancing reliability.
Future Prospects
The future of cloud computing and DevOps in India looks promising. With the increasing adoption of these technologies, we can expect to see more innovations and advancements in the coming years. Companies will continue to leverage cloud and DevOps to drive digital transformation, improve operational efficiency and deliver superior customer experiences.
India's vibrant tech ecosystem, coupled with its pool of talented professionals, positions it as a global leader in the cloud computing and DevOps space. As businesses continue to embrace these technologies, the demand for skilled professionals and specialized services will only grow, creating numerous opportunities for growth and innovation.
Conclusion
Cloud computing and DevOps have become integral to the success of modern businesses. In India, companies are at the forefront of this technological revolution, offering cutting-edge solutions that drive growth and innovation. If you are looking for a partner to help navigate this complex landscape, BuzzyBrains stands out with its expertise and commitment to delivering high-quality cloud and DevOps solutions. As the digital world continues to evolve, partnering with the right company can make all the difference in achieving your business goals.
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madmantechnologies · 17 days
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The Essential Role of Data Centre Solutions for IT Services Industries
Introduction:-
The need for reliable and effective data centre solutions in the quickly changing digital landscape cannot be emphasized. With companies depending more and more on cloud computing and digital platforms, data centres are now the mainstay of contemporary IT infrastructure. Offering complete data centre solutions is a must for IT service providers to guarantee the smooth running, security, and scalability of their clients' digital ecosystems.
The Pillars of Data Centre Solutions:-
A vast range of technologies and services are included in data centre solutions, which are intended to handle, store, and process data. The essential elements consist of:
Infrastructure Management:-
This refers to the hardware and software infrastructure needed for processing and storing data. The reliability of IT services is increased overall, peak performance is guaranteed, and downtime is minimized with effective infrastructure management.
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2. Cloud integration:-
Integrating cloud services with traditional data centres becomes crucial as businesses shift to cloud-based models. By providing flexibility, scalability, and cost efficiency, this hybrid strategy enables businesses to make use of the greatest features from both worlds.
3. Data Security:
Sensitive information must be protected. To protect data from cyber threats, data centre solutions must incorporate strong security features including intrusion detection systems, firewalls, and encryption.
4. Disaster Recovery and Backup:
One essential component of data centre solutions is guaranteeing business continuity in the event of system failure or data loss. To reduce risks and guarantee a prompt restoration of services, regular backups and disaster recovery strategies are crucial.
5. Scalability:
Businesses need more data as they expand. Scalable data centre solutions guarantee that IT infrastructure can keep up with business demands by enabling organizations to grow their capacity and capabilities without requiring major overhauls.
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Why Data Centre Solutions Matter for IT Services Companies
Enhanced Performance and Reliability: Data centres provide the foundation for reliable and high-performance IT services. By managing and optimizing data flow, IT services companies can ensure that their clients experience minimal downtime and maximum efficiency.
Cost Efficiency: Efficient data centre solutions can significantly reduce operational costs. By leveraging economies of scale, IT services companies can offer their clients cost-effective solutions while maintaining high service standards.
Compliance and Regulatory Adherence: Different industries have varying regulatory requirements for data management and security. Data centre solutions ensure that businesses comply with these regulations, avoiding legal pitfalls and enhancing their reputation.
Innovation and Competitive Advantage: Advanced data centre technologies such as artificial intelligence, machine learning, and big data analytics enable businesses to innovate and stay ahead of the competition. IT services companies that provide cutting-edge data centre solutions empower their clients to harness the power of these technologies.
Sustainability: Modern data centres are increasingly focused on energy efficiency and sustainability. By adopting green technologies and practices, IT services companies can help their clients reduce their carbon footprint and contribute to environmental conservation.
CONCLUSION -
In conclusion, a variety of criteria, such as the organization's budget, performance requirements, scalability needs, and compliance duties, influence the decision between traditional data centres and cloud alternatives. Scalability, flexibility, and cost-effectiveness are offered by cloud solutions, while control and security are provided by traditional data centres. Many businesses use a hybrid strategy, combining cloud and on-premises resources to strike the best possible balance between cost, scalability, and control. In the end, choosing the best IT infrastructure plan to support corporate growth and innovation in the digital age depends on knowing the particular requirements of the company.
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allcodeusa · 25 days
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AWS Computing Services | AllCode
Experience seamless scalability and unmatched reliability with AllCode's AWS Computing Services. Empower your business with flexible cloud solutions tailored to your needs. From compute power to storage and networking, AllCode leverages the full spectrum of AWS services to optimize performance and drive innovation.
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algoson · 4 days
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Located in Vancouver, Canada, Algoson Software excels in delivering robust software applications through best-in-class processes. Our team of skilled software professionals and consultants is equipped with the latest technological expertise. Contact us at [email protected] to learn more.
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gouravsapra · 26 days
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Enhance your business operations with Cloud Management Outsourcing! Drive efficiency and scalability effortlessly. #CloudManagement #Efficiency #Scalability
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jcmarchi · 9 days
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SoftBank launches healthcare venture with Tempus AI
New Post has been published on https://thedigitalinsider.com/softbank-launches-healthcare-venture-with-tempus-ai/
SoftBank launches healthcare venture with Tempus AI
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SoftBank Group, the Japanese technology investment firm, has announced a strategic joint venture with Tempus AI, a company specialising in AI-driven medical data analysis and treatment recommendations.
This partnership was revealed by SoftBank’s CEO, Masayoshi Son, during a briefing in Tokyo, marking another significant move in SoftBank’s recent series of AI investments as the company ramps up its investment activities following a period of relative quiet.
Earlier this year, SoftBank invested approximately $200 million in Tempus during its Series G funding round, preceding Tempus’s Nasdaq listing in June. Tempus is renowned for its genomic testing services and AI-powered treatment and clinical trial recommendations in the United States, leveraging a comprehensive database of millions of patient clinical records.
As reported by Reuters, the partnership is hoped to enable these advanced services to be deployed in Japan, making it one of the first non-US healthcare markets with this type of connected health capabilities.
“Working with Tempus, we’ll develop services at pace in Japan. With the database of 7.7 million U.S. patients, we’re at a running start,” Son said about the venture.
The partnership is anticipated to close in July, subject to usual closing conditions, and will involve an investment of 15 billion yen (close to $93 million) from each party.
Google’s support for Tempus AI
Tempus AI has also recently caught the eye of Google, an Alphabet company that is still on a spending spree to acquire and develop artificial intelligence technologies. Google’s support is crucial for Tempus, as the search giant has been a major player in deploying AI over time. This includes standout systems like AlphaGo and foundational innovations such as the transformer architecture used in ChatGPT.
Tempus uses AI technology to develop what it describes as “intelligent diagnostics,” which are diagnostic tests tailored specifically to the patients they apply to. The initiative is designed to improve the efficacy of existing treatments and speed up the development of new therapies.
On June 14, 2024, Tempus conducted its IPO on the Nasdaq stock exchange. The company’s stock fared well, surging as much as 15% during its first day of trading and closing nearly 9 per cent higher. The market capitalisation of Tempus AI reached $6 billion.
Google’s financial involvement with Tempus AI began in June 2020 when Tempus issued a $330 million convertible promissory note to Google as part of a cloud services agreement. Later that year, Tempus provided Google with $80 million of preferred stock to partially satisfy the original note.
Over the period from 2002 to 2023, revenue at Tempus AI grew by 183%. Its adjusted earnings before interest, taxes, depreciation, and amortisation are improving, although it has yet to reach profitability.
The quality of its technology is evident from the current client base. Tempus has worked with approximately 95% of the world’s top 20 publicly traded biopharma companies. In addition to its collaborations with over 200 pharmaceutical companies, Tempus is used in over half of U.S. academic medical centres and connects with over 7,000 physicians.
This partnership between SoftBank and Tempus AI, coupled with Tempus’s market lead and its continuous strategic partnerships with numerous tech giants, establishes it as a significant participant among companies addressing new AI-powered healthcare services.
(Photo by Piron Guillaume)
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Tags: ai, Google, healthcare ai
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