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.
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Cycle time, accuracy, cost per successful task completion, and end-user satisfaction are vital metrics that will give visibility into the success of AI projects.
Ajay Patel of IBM outlines how enterprises are shifting from AI experimentation to real-world application, especially in sales, R&D, and operations.
Rob Ashe, Blaine Grzegorek, and John Siefert explore how ISVs provide industry-specific ERP solutions, reduce internal development costs, and enhance scalability.
AI agents present opportunities to break down data silos, forecast health events, and develop personalized treatment plans. Such use cases benefit patients, providers, and the entire healthcare ecosystem.
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 and Gong are integrating AI-driven sales intelligence into Microsoft 365 and Dynamics, enabling sellers to automate workflows, access deep conversation insights, and drive faster, data-informed decisions using Copilot and custom agents.
AWS’s data center projects in Luzerne and Bucks Counties are part of a broader push to establish Pennsylvania as a leader in cloud infrastructure and AI services.
Snowflake is buying Crunchy Data for a reported $250M to integrate enterprise-grade PostgreSQL into its AI Data Cloud and accelerate agentic AI innovation.
Why Oracle Chairman Larry Ellison is betting big on leading cloud databases, applications, and infrastructure — and why history suggests you shouldn’t bet against him.
IBM unveils watsonx.data integration and intelligence software to streamline and operationalize unstructured enterprise data for AI-driven innovation.
Since taking over during the pandemic, Christian Klein led SAP through massive growth, tripling market cap and driving innovation in AI and cloud while advising Europe to partner smartly rather than replicate US tech infrastructure.
Rabbit’s CEO explains why cloud isn’t inherently too expensive — it’s just not optimized, and that’s a solvable problem.
Sample app highlights how MCP can equip users with the industry-specific data they require from a diverse set of external tools and systems, working alongside a powerful AI orchestration engine.
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.
EY’s leaders discuss how their partnership with ServiceNow is transforming compliance and AI deployment across industries like finance and manufacturing.
Once doubted, Oracle’s cloud strategy pays off big as it reports a 41% RPO surge and forecasts FY26 cloud growth over 40%, led by relentless AI infrastructure demand.
Cognizant differentiates itself by combining industry experience with AI-led ServiceNow solutions.
From multi-agent interactions to supply chain vulnerabilities, AI agents introduce a number of potential security risks. A new resource lays out the risks and steps to prevent them, while leaning on red teaming practices.
Discover how Deutsche Telekom cut costs and boosted service delivery by leveraging AI-driven automation from Juniper Networks and ServiceNow.