Real-time Analytics News for the Week Ending November 9
In this week's real-time analytics news: Amazon Web Services (AWS) announced the launch of the Generative AI Partner Innovation Alliance.
In this week's real-time analytics news: Amazon Web Services (AWS) announced the launch of the Generative AI Partner Innovation Alliance.
With increasing database complexity, the demand for skilled professionals in areas like AI and machine learning, DevSecOps, cloud computing, microservices, and containerization has never been greater.
In this week's real-time analytics news: The Object Management Group announced the cross-consortia Artificial Intelligence Joint Working Group, bringing together advanced AI and digital twins.
While there are challenges to overcome, cobots offer a number of benefits when they are part of a comprehensive smart manufacturing automation strategy.
Organizations need to start strategizing now on how to leverage next-generation intelligent content automation platforms. These platforms are emerging as the most effective way to infuse intelligence into documents, automate critical business processes, and make document discovery as intuitive and responsive as the concept of “sentience” implies.
Enterprise industrial connectivity offers a way to address manufacturing digital transformation data integration challenges by enabling seamless communication across disparate systems.
In an industry where development timelines are increasingly compressed, automakers face a critical choice: prioritize speed or maintain quality. The reality is that both are possible but only with the right tools and a well-prepared workforce.
AI is the most compute, network, and data-intensive workload of our time, and to effectively deliver on its promise, solutions must be hybrid by design and built with modern AI-ready architecture.
In this week's real-time analytics news: NVIDIA contributes more technology and expertise to the Open Compute Project.
Many supply chain organizations aim to make their operations smarter by investing in generative AI, data analytics, automation, digital twins, machine learning, Internet of Things, and more.