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- 165articles · 30d
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- Aug 16, 2026earliest in window
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3 ways dev teams use AI to improve software governance
2+ week, 5+ day ago (1082+ words) KOHb - Getty Images With AI adoption rising in every organization, releasing software quickly is easier than ever. This article will examine three approaches to using AI in software governance. It draws from my conversations with Brian Singer, co-founder and CPO…...
Genesys banks on AI customer service agents -- and their orchestration
1+ week, 4+ day ago (192+ words) Genesys customers will be able to plug in agents from many sources, and -- if everything goes as planned -- have the orchestration layer to rule them all....
Balancing infrastructure priorities for AI integration
3+ week, 4+ day ago (209+ words) KOHb - Getty Images AI depends on more than powerful models and accessible compute resources. As enterprises integrate AI into products, services and operations, decisions about storage, compute, governance and data management will ultimately determine the success of scaling AI initiatives....
VMware wants to become the enterprise home for AI Agents
1+ week, 5+ day ago (847+ words) Foundations folds last year's Tanzu Data Intelligence into the platform, and the new parts are the...
Why businesses need an AI agent kill switch
3+ week, 4+ day ago (277+ words) Businesses are giving more control and autonomy to AI, trusting AI agents to handle increasingly complex or sensitive tasks. But even the most well-designed agent, using vetted data resources, can be wrong, making dangerously incorrect decisions, deviating from intended behaviors…...
Key enterprise strategies for AI agent observability
4+ day, 18+ hour ago (761+ words) Enterprises are adopting AI agents that select tools, access contextual data and complete multistep workflows. With the added autonomy that agentic AI brings to an organization, AI agent observability has become more important than ever. Traditional application observability shows if…...
AI cloud migration: Key steps to success
5+ day, 14+ hour ago (593+ words) Local AI deployments have practical limitations. The AI computing infrastructure and the corresponding energy demands can be costly to build, manage and maintain, often restricting the resilience and scalability that modern AI platforms depend on. Companies increasingly turn to the…...
Databricks launches model to boost data retrieval for AI
4+ day, 5+ hour ago (784+ words) Databricks is once again aiming to improve the accuracy of data retrieval systems for AI. In January, Databricks launched Instructed Retriever, an alternative to the traditional retrieval-augmented generation (RAG) pipelines that many enterprises deploy to try to find and feed…...
Snowflake targets cost of AI with dynamic model routing
3+ week, 6+ day ago (1281+ words) Snowflake is doing something about the high cost of developing and managing agents and other AI applications. With many organizations now spending far more to build AI tools than they did to develop data products, Snowflake on Tuesday unveiled dynamic…...
Boomi intros layer for controlling AI costs and connections
1+ week, 5+ day ago (541+ words) Boomi's latest is an AI governance layer that helps users manage connections between agents and enterprise systems and control their AI spending....