AI House @ AI4 2026
as the organisers put it
AI House at AI4. August 3, 2026. An invitation-only executive AI experience, Official Partner Event of AI4.
| title | author | length |
|---|---|---|
| Sizzle Video | Rahsaan Shears | 02m |
Claims that AI is teachable rather than a model-choice problem, argues against handing an autonomous agent unlimited trust and calls for concrete guardrails… | ||
| KPMG Keynote | Rahsaan Shears | 10m |
KPMG reports a University of Texas–backed Harvard Business Review study of 523 professionals showing 50% amplifiers, 24% “apprentices” who degrade AI, and… | ||
| AI Impact in Healthcare | Susan Sly, Naresh Reddy | 38m |
Healthcare spends $5.7 trillion annually and still averages an 11‑minute patient visit; AI moves from pilots into core infrastructure but fragmentation breaks… | ||
| AI at Work | Dana Haddad | 28m |
Built an AI product function that moves ideas to market with 48 enterprise V1s and 988 citizen developers using tools like NAN, cloud code, Claude/Anthropic… | ||
| Building an AI-Ready Workforce | Joe Mayberry, Nadia Hansen, Aisha Tahirkheli | 28m |
Panelists report concrete measurements and practices: 70% excited vs 41% willing to trust for AI adoption, one out of five C‑suite report meaningful… | ||
| Rethinking How Startups Are Built and Scaled | Elizabeth Shea, Ryan Wang, Ryan Wang, Jane Yip, Momei Qu | 33m |
Investors describe concrete wins and failures: enterprise ROI remains the bottleneck, not model hype, so startups that automate tedious workflows or embed into… | ||
| Fireside Chat - AI Security Vulnerabilities | T. Hawkins, Tiarne Hawkins, Arsh Arora | 22m |
Panel outlines that multiagent autonomous orgs generate 1,000x more network data and vulnerabilities are surfacing at a 5x pace; demonstrated failure modes… | ||
| Roundtable - Lessons Learned | T. Hawkins, Pete Erickson | 10m |
A live Q&A surfaces concrete next steps: build an ethics inference layer that encodes org values into model behavior, create a mid-market centralized security… | ||
| One-on-One with Swayanshu Shanti Pragnya | Swayanshu Shanti Pragnya | 05m |
Ten years of AI research and a current data lead role drive work on security, data governance and interpretability while collaborating with University of… | ||
| One-on-One with Mohan Gupta | Mohan Gupta | 06m |
Akamai Velocity describes cloud migration work with Google and AWS partners, apps on the Google Cloud Marketplace, and a major healthcare customer deployed… | ||
| AI Priorities in the Enterprise | Jason Mitsky, Mark Shank, Eric Pace | 40m |
A recent breach shows a sandboxed open model spent 5 days exploring Hugging Face production and forced teams to self‑host GLM 5.2 to analyze logs; Anthropic… | ||
| nothing matches | ||