Thoughts and experiences with technology in practice, focused on where tools, systems, and human judgment intersect.
Great conversation at Microsoft’s Americas Enterprise Partner Accelerate on what it really takes to drive AI ROI. The organizations seeing results are focused less on technology choices and more on changing how people work with AI agents. Adoption, effectiveness, and trust matter more than demos.
Engaging discussion ranging from the technical underpinnings of AI agents to how we should think about their role in the future of work.
Memory Design for AI Agents: a practical guide to working, episodic, semantic, procedural, and preference memory—with patterns and evaluation tips.
Agentic AI is moving from prompts to outcomes. Learn how MCP, orchestration frameworks, and persistent memory enable enterprise-grade agents, plus four high-impact use cases and a practical next-step checklist.
Learn how content chunking transforms unstructured data into machine-readable segments, enhancing generative AI systems' effectiveness. Discover strategies like fixed-length, dynamic, hierarchical, and multi-modal chunking to improve embeddings, semantic retrieval, and AI accuracy. Explore the vital role of knowledge workers in refining, structuring, and validating content for optimal AI performance.
This episode focused on what it really takes to move AI from pilots into production, with an emphasis on AI literacy, data quality, and disciplined execution. We discussed why metrics, guardrails, and thoughtful workflow design matter as much as the models themselves when operationalizing AI at scale.
Most modern, business-focused software systems rely on high-quality data to function effectively. As artificial intelligence continues to shape these systems that support knowledge work, the demand for high-quality, diverse, and reliable data has never been greater.
Explore Retrieval Augmented Generation (RAG) and its transformative impact on knowledge work. Learn how RAG integrates retrieval and generation to deliver accurate, context-rich insights by leveraging embeddings, vector databases, and generative AI. Discover practical applications for productivity and decision-making.
This talk focused on building practical AI literacy so leaders and knowledge workers can use generative AI effectively and responsibly. By demystifying how modern AI systems work, the session aimed to replace hype with confidence and readiness as AI becomes embedded in everyday workflows.
Discover how vector databases are revolutionizing knowledge management by efficiently storing and retrieving unstructured data. Learn about their core components, advantages, and real-world applications in this comprehensive guide.
Explore how AI uses embeddings to understand and retrieve knowledge across different media, enhancing the accuracy of semantic search and boosting productivity for knowledge workers.
Explore the evolution and impact of transformer-based AI models on knowledge work. Understand the basics of neural networks, the architecture of transformers, and the significance of inference in AI. Learn how these models enhance productivity and decision-making for knowledge workers.