[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: http://
amzn.to/2W7YSy0
——————
#AI #ML #DataScience #DataScientist
ENTERPRISE AI
-

Book: Machine Learning Design Patterns for Data Prep and MLOps
By
–
-

Book: Agentic Architectural Patterns for Multi-Agent GenAI Systems
By
–
New release from @PacktDataML @PacktPublishing "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at http://
amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗 -
Reliability Improvements Expected in Recent AI Releases
By
–
Reliability is a hard problem and we take it very seriously. Things should be feeling better in more recent releases, and you should expect more improvements
-
AI Transformation Requires Organizational Skills Development
By
–
Exactly, @MSFT_Business !
What stood out in São Paulo was the clarity: AI transformation isn’t just about deploying models, it’s about building capability across the organization. Skills are the multiplier. Grateful for the dialogue in São Paulo. #MicrosoftAITour -
AI-First Organizations: Beyond Augmentation to Process Redesign
By
–
Spot on, @dinisguarda . The technology is moving fast, but the real constraint is organizational design. In my view, very few organizations are truly AI-first today. Most are still in augmentation mode. The ones pulling ahead are redesigning processes end-to-end, aligning
-

Edge AI Maritime Security: Data to Decision Advantage Panel
By
–
Domino was honored to support the warfighter community at AFCEA West 2026 – and especially proud to convene a standout panel on “Edge AI for Maritime and National Security Superiority: Turning Data into Decision Advantage.” Watch the full panel: https://
domino.buzz/4qKJdjX -
Snorkel Releases Agentic RL Eval Environment and Finance Reasoning Benchmark
By
–
Snorkel contributed: • An agentic RL eval environment • FinQA-Reasoning dataset • Finance Reasoning benchmark Full technical breakdown from the rLLM team + our enterprise takeaways here:
-

Databricks AppKit and Replit Speed Enterprise App Development
By
–
Ship enterprise apps faster with Databricks AppKit and @Replit
. AppKit is a TypeScript framework with built-in observability and seamless integration with Databricks services. The new Replit integration lets you develop data-aware apps using natural language and deploy directly -

Agent API Risk: Security, Finance, and Production Deployment Frontiers
By
–
Most agent actions on our API are low risk. 73% of tool calls appear to have a human in the loop, and only 0.8% are irreversible. But at the frontier, we see agents acting on security systems, financial transactions, and production deployments (though some may be evals).