Posts Tagged ‘AI’
4 Essential Sales Tips for Engineers | Adam Cogan
Not a salesman? No problem. Adam Cogan shares 4 practical tips to help engineers navigate sales meetings with confidence. Learn how to stop “selling” and start solving, how to talk numbers without the awkwardness, and why being transparent about your process wins more clients.
Read MoreAzure Bicep Explained | Build Repeatable Cloud Infrastructure | Ben Neoh & Rick Su | SSW User Group
This session provides a practical introduction to scalable and maintainable cloud infrastructure practices.
Read MoreWhy No One Can Agree on the “New” Button? | Adam Cogan
Struggling to juggle a hotfix while mid-feature without losing your flow?
Read MoreStop Rationing AI: The Token Abundance Mindset Explained | Eddie Kranz | SSW User Group
Eddie shares practical workflows using tools like Claude Code, worktrees, and batch execution to avoid context switching and dramatically improve efficiency.
Read MoreTech News #59 | AI Arms Race Heats Up: Anthropic, OpenAI, Google & Meta Updates with Eve Cogan
Eve Cogan breaks down the biggest and most controversial updates in AI.
Read MoreGit Worktrees Explained: Fix Production Bugs Without Losing Focus
Struggling to juggle a hotfix while mid-feature without losing your flow?
Read MoreScrum vs SAFe Explained: How to Scale Agile Across Multiple Teams
Learn how daily scrums, global standards, and professional consultants help clients meet even the toughest deadlines.
Read MoreFrom Copilot to the Garden of Eden | Adam Cogan | SSW User Group
Adam walks through the journey from ChatGPT and Copilot to agentic tools, grounded AI systems, AI-powered reporting, smarter phone workflows, and personal assistants.
Read MoreTech News #58 | AI Layoffs, Agents & China’s Big Play | Eve Cogan
Agent to agent communication, copyrights and tariffs the world of tech is being shook. Where will we all land?
Read MoreTalk to Your Database: Building Natural Language Data Analysts with Jack Watts | SSW User Group
Jack covers “auto-learning” via storing successful Q&A pairs back into a vector DB, plus key risks like hallucinations, governance, over-permissioning and safeguards.
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