Scaling Agentic AI: Why IT and CIOs Can't Go It Alone
ENTERPRISE AI
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Why Industrial AI Deployments Fail to Scale
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This broken feedback loop explains why many industrial AI deployments fail to expand beyond pilot programs.
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The Evolution of AI Voice into Real-Time Conversational Intelligence
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My takeaway: The future of AI voice is not “speech-to-text.” It’s real-time conversational intelligence. That opens the door to entirely new workflows across enterprise software, customer support, media, and collaboration. I break it all down in the full video. Watch it here
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The Evolution of Voice AI from Hearing to Understanding
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The biggest shift: AI is moving from “hearing words”
to “understanding conversations.” That sounds subtle, but it changes how enterprises can use voice AI in the real world. → Live meetings
→ Support calls
→ Podcasts
→ Streaming audio
→ Large audio archives The system -
Google to Reveal New Gemini Spark AI Agent at Google I/O
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GOOGLE : A new Gemini Spark Agent is about to be revealed during Google I/O. Gemini Spark will work as a 24/7 assistant that can learn from user behavior and work with connected apps and skills. > Let Gemini do more as your everyday AI agent, ready 24/7 to help with your
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Unsupervised AI analysis as a new operational risk
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PMs running AI analysis unsupervised is a new category of problem.
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Microsoft Build as a Key Indicator for Enterprise AI Trends
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#MicrosoftBuild continues to be one of the most important events to watch for understanding where enterprise AI, developer platforms, cloud infrastructure, and intelligent applications are heading next. The presence of @satyanadella , alongside sessions focused on GitHub
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Using LLMs for Legacy Mainframe Program Upgrades
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Mainframe Pros on Legacy Program Upgrade Using LLM! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Development Environments Enabling End-to-End AI Agent Task Execution
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Customers like Decagon, Amplitude, BILT, and Snyk use development environments to let their agents handle tasks end-to-end. Learn more: