Book-Automating Data Quality Monitoring
“Automating Data Quality Monitoring” by Jeremy Stanley, Paige Schwartz
Read more "Book-Automating Data Quality Monitoring"“Automating Data Quality Monitoring” by Jeremy Stanley, Paige Schwartz
Read more "Book-Automating Data Quality Monitoring"“Generative AI Design Patterns” by Valliappa Lakshmanan, Hannes Hapke Quality and robustnessBy reviewing its own outputs, an AI can catch errors before it presents results to users. Logging these reviews also helps identify edge cases and potential failure modes. Mitigation of reasoning and planning limitationsReflection allows for iterative refinement of reasoning processes. For novel and […]
Read more "Book-Generative AI Design Patterns"“The GitHub Copilot Handbook” by Rob Bos, Randy Pagels
Read more "Book: The GitHub Copilot Handbook"First session presented by Ryan Cunningham (CVP Power Platform), focused on re-thinking constraints in a changing environment with the introduction of AI. AI Agent Levels Microsoft AI Products & Platforms 1. Microsoft Researcher 2. Power Agents 3. Copilot Studio Deep Dive: Power Apps & Copilot Studio Process Example: Travel Expense Submission Agent Approval Agent Agent […]
Read more "Notes from Microsoft AI Apps & Agents event"“Prediction Machines: The Simple Economics of Artificial Intelligence” by Ajay Agrawal, Joshua Fans, Avi Goldfarb “As we’ll explain, AI is a prediction technology, predictions are inputs to decision making, and economics provides a perfect framework for understanding the trade-offs underlying any decision.” Trade-offs: “More data means less privacy. More speed means less accuracy. Moe autonomy […]
Read more "Book: Prediction Machines"
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