Automation is a critical enabler of efficiency, innovation, and competitive advantage in a business world increasingly defined by digital transformation. However, the path to effective automation is not indiscriminate adoption but strategic alignment.
As organizations look to streamline their automation tools, they need to look for tools that help them move from reactive problem resolution to tools that provide end-to-end visibility and can predict events, downstream effects, and SLA impacts before they occur.
In this week's real-time analytics news, Lenovo and Databricks are teaming up to increase the use of GenAI.
Although the first generation of iPaaS introduced enterprises to a new way of streamlining workflows, the market today is ready for a revamped platform that can harness the power of AI and an intuitive interface to drive broader change across the enterprise.
SQL plays a central role in data science and is just as important today as it was decades ago. Its ability to integrate effortlessly with modern tools, handle a variety of data operations, and support real-time processing, AI/ML, and data security makes it indispensable.
In this week's real-time analytics news: NVIDIA announced a new NVIDIA AI Foundry service and NVIDIA NIM inference microservices to supercharge GenAI.
Real-time AI complements Intelligent Automation tools like RPA, creating a powerful synergy that leads to more precise and well-run automation.
In this week's real-time analytics news: More open access journals coming on the application of AI and ML for the sciences.
GenAI innovation is being driven by developers. And they are in such a position because of the emergence of Retrieval Augmented Generation (RAG) and of open-source models.
Observability adoption is growing fast–and the tech stacks running observability are becoming bloated. Watch our experts talk about why and what to do about it.