AI Challenges & Solutions: a Discussion

This session tackles the messier side of AI - the real challenges, risks, and friction points that organizations and individuals are running into as adoption accelerates.
The focus will lean towards IT and software engineering disciplines, but the problems we'll explore - from security to costs to workforce impacts - cut across every industry deploying AI today.

We'll explore-

• Hallucinations and reliability - why models still get things wrong and how to design around it
• The economics of AI - token costs, infrastructure spend, and where projects quietly bleed money
• Security risks - prompt injection, data leakage, model exploitation, and supply chain concerns
• AI-enabled scams - deepfakes, voice cloning, phishing at scale, and synthetic identity fraud
• Workforce disruption - what's genuinely shifting versus what's hype, and how to position yourself
• Privacy, IP, and regulatory uncertainty
• Over-reliance and skill atrophy in AI-augmented teams
• Practical mitigations and what good looks like in production

After these sessions we typically grab dinner nearby if you want to keep the conversation going and connect with other professionals.