Large enterprises in regulated industries, especially in data-rich financial services and insurance, have invested significantly in data governance programs. Other businesses have been catching up as part of their efforts to become more data-driven organizations. Data governance often starts with defining policies, classifying data sources, establishing data catalogs, and communicating non-negotiables. But look a little…
Agentic AI has emerged as the software industry’s latest shiny thing. Beyond smarter chatbots, AI agents operate with increasing autonomy, making them poised to drive efficiency gains across enterprises. “Agentic refers to AI systems that can take actions on behalf of users, not just generate text or answer questions,” says Andrew McNamara, director of applied…
This week in New York, my Oracle team ran workshops for enterprise developers on building retrieval-augmented generation and agentic applications. Interest was so strong that we quickly had to figure out how to double the room’s capacity (much to the fire marshal’s chagrin). Interest in AI was clearly off the charts. But AI fluency was…
Artificial intelligence has moved from the research lab into the boardroom, the data center and virtually every business function in between. Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals who can translate…
Amazon Web Services is making its S3 object storage service easier for AI agents to access with the introduction of a native file system interface. The new interface, S3 Files, will eliminate a longstanding tradeoff between the low cost of S3 and the interactivity of a traditional file system or of Amazon’s Elastic File System…
Computer vision teams face an uncomfortable reality. Even as annotation costs continue to rise, research consistently shows that teams annotate far more data than they actually need. Sometimes teams annotate the wrong data entirely, contributing little to model improvements. In fact, by some estimates, 95% of data annotations go to waste. The problem extends beyond…
Just as integration catalogs were must-haves at the peak of SaaS, Model Context Protocol (MCP) servers are now becoming all the rage for connecting AI agents and enterprise systems. In this paradigm, developers aren’t hand-coding API calls to external systems, nor are users clicking “click to integrate” and entering credentials into GUIs. Instead, agentic systems are…
Machine Learning For Business Intelligence Market Next Big Thing | Major Giants• IBM • Microsoft • Google openPR.com Go to Source Author:
It seems we are in a very perplexing and somewhat worrisome time in the technology job market. Artificial intelligence is disrupting workflows and changing job descriptions, while many companies are shedding staff due to years of “overhiring.” Some companies are freezing hiring due to market uncertainty. Whether you are seeking a full-time position or contracting…
Microsoft’s research arm has long been fascinated with working with large amounts of data at scale. Projects like TerraServer explored how to search and display geospatial data, mixing mapping and demographics to show how we could provide large amounts of information to users’ desktops while working within the bandwidth constraints of the early internet. That…
