Production AI Memory
What to store, compress, retrieve, and discard when AI systems need context without waste.
Chander speaks to architects, AI teams, engineering leaders, and executives who need practical judgment on production AI, cloud systems, and delivery under pressure.
Taswar Bhatti, Lead AI and Security Cloud Solution Architect at Microsoft, featured Chander's Azure Cosmos DB session in his LinkedIn newsletter on April 30, 2026.
Save tokens, cut costs, and keep useful context across turns without letting latency or operating spend get out of control.
The talks are built for rooms that need specific tradeoffs, field-tested patterns, and decisions people can act on after the session.
What to store, compress, retrieve, and discard when AI systems need context without waste.
How to reason through cost, resilience, migration pressure, and platform choices.
How senior teams diagnose stalled delivery, simplify the plan, and get shipping again.
How technical leaders build habits, systems, and teams that can carry real execution.
Keynotes, executive briefings, and technical sessions for audiences that want clear judgment instead of generic AI hype.