Enter intelligent agents (the practical layer): Ask in natural language. The agent pulls context across systems, then acts—send an alert, generate a report, flag an anomaly. Result → faster cycles, clearer visibility, and automation you can trust across existing
ENTERPRISE AI
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Context Engineering: The Next Enterprise Intelligence Era
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Bottom line: the next era of enterprise intelligence won’t be “bigger models”—it’ll be better context. Watch the full video: Context Engineering—Defining the Next Era of Enterprise Intelligence. In partnership with Elastic. Check out the full article:
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Context Engineering: Structuring Data for AI Reasoning
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What is “Context Engineering”? It’s the discipline of stitching your unstructured mess—logs, chats, docs, images—into something an AI can actually reason over. → Vector DBs + hybrid search + embeddings to retrieve by meaning, not keywords. → Decisions anchored in your data,
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From Data Hoarding to Explainable AI Insights for Executives
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Why this matters to execs: → From collection → comprehension: you stop hoarding and start explaining. → Accuracy scales because answers come from your ground truth. → You finally get explainability you can take to a board meeting.
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Context Engineering: Why Quality Data Beats Volume for LLMs
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Most teams think “more data = smarter AI.” I make the opposite case: context beats volume. When LLMs are grounded in your company’s own signals—not just the internet—they deliver accurate, explainable decisions at scale. A thread on Context Engineering and why it changes
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Edge Computing Reduces Latency Through Local Data Processing
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Edge computing cuts latency by processing data near its source, at the device. Services in factories and mobility push teams to deploy local intelligence, since milliseconds affect safety and uptime, and local processing trims bandwidth spend. Microblog by @antgrasso
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Building AI Inference Platform on RISC-V Architecture
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Real lessons from building AI inference on RISC-V. Koby Soden, Solutions Architect at Axelera AI, is speaking at RISC-V Now! on April 21st in San Jose, CA. His session, "Building an AI Inference Platform on RISC-V," covers what it takes to move from edge vision to generative AI
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Top 10 Multi-Cloud Architecture Design Tools
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Top 10 tools for multi-cloud architecture design https://
cloudcomputing-news.net/news/top-10-to
ols-for-multi-cloud-architecture-design/?utm_source=dlvr.it&utm_medium=twitter
… #Cloud #Automation #Data #RAG #MLOps #DigitalTransformation #AgenticAI #ExecutiveLeadership -
Company Named Forbes AI 50 for Secure Sovereign AI
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We're proud to be on the @Forbes AI 50 list again! It reflects our focus on building secure, sovereign AI that helps enterprises and governments put their data to work on their terms. Learn more: https://
forbes.com/lists/ai50/ -
Champion-Led Sales: Arming Internal Advocates for AI Adoption
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This reframes the whole job. You're not closing your champion, you're closing their internal skeptics through them. The one-pager and ROI calculator aren't sales materials, they're your champion's armor for a meeting you'll never be in.