Duke Health chief data scientists details core components of governance, as well as work with Avanade, Microsoft, and other vendors to derive maximum advantage from AI technology.
governance
Leading cloud and AI providers are partnering with enterprise customers to develop a comprehensive framework designed to secure AI systems and agents, advancing the industry’s ongoing push for stronger safeguards.
Ajay Patel of IBM outlines how enterprises are shifting from AI experimentation to real-world application, especially in sales, R&D, and operations.
A wide range of functions in Copilot Control System and related products give admins as well as business leaders strong controls over Copilots, agents, and data.
Microsoft demos specific Purview functions that customers can tap into in AI use cases so they are protecting critical corporate data assets from both malicious external actors and insider threats.
In response to Europe’s complex data regulations, AWS has created a sovereign cloud offering high performance without compromising compliance or security.
IBM’s new lab in NYC focuses on responsible AI, cybersecurity, and supply chain solutions.
Military branch lays out goals, objectives, and requirements for success with AI on the battlefield and throughout the service, with guidelines that deliver powerful lessons for enterprise customers.
Snowflake doubles down on AI and data integration with sweeping new product launches to drive enterprise-wide AI adoption and long-term growth.
Snowflake, under CEO Sridhar Ramaswamy, is accelerating innovation with strong revenue growth, a full-stack data lifecycle strategy, and expanded AI and partner integrations unveiled at its recent Summit.
New functionality in Azure AI Foundry, Copilot Studio, and GitHub brings major advances in building and managing AI agents while selecting the optimal model for developer flexibility.
Institute for Business Value delivers a detailed outlook on agents’ impact across a wide range of business functions, with the greatest impact forecast in customer service and human resources.
SAP leaders argue that agentic AI will enhance — rather than replace — enterprise applications by integrating seamlessly with data and AI capabilities.
Oracle and IBM deepen their partnership to bring watsonx to Oracle Cloud Infrastructure, accelerating enterprise adoption of agentic AI and hybrid cloud solutions.
ServiceNow’s AI Maturity Index provides a five-stage framework based on insights from 4,500 companies to help enterprises benchmark, govern, and accelerate their AI strategies.
Workday introduces a centralized approach to managing digital labor with its Agent System of Record, aligning human and AI workflows for enterprise clarity.
Workday takes a cautious, customer-driven approach to agentic AI by focusing on a small number of high-impact AI agents to ensure business value and trust.
From AI in org charts to redeploying humans to developing products and services for top-line growth, top executives are evolving their businesses to capitalize on a range of AI-driven opportunities.
Analysis finds a decline in maturity when it comes to using and measuring AI’s impact, but provides clear indication of the traits, and approaches, that establish companies as AI leaders.
Google Chrome is transforming into an AI-enhanced enterprise platform with cutting-edge security and productivity features, explains Parisa Tabriz.