How Enterprises Scale AI: Data, Governance, and Trust
Автор: Data Phoenix Events
Загружено: 2025-10-06
Просмотров: 52
Описание:
Scaling enterprise AI is hard. This panel breaks down the real bottlenecks and playbooks to deploy AI in production across finance and healthcare. You’ll hear what actually works beyond proofs of concept.
Moderator Gabriela de Queiroz (F02 Labs) leads a grounded discussion with David Hefter (BlackRock) and Anand Vallamsetla (Resilience AI) on moving from pilots to production, building trust, and getting governance right. If you’re shipping AI inside a regulated org, this is your shortcut to fewer surprises and better outcomes.
🔥 Key Highlights:
🔹 Adoption hurdle: why chatbots stall and where agents change behavior at work
🔹 The 80/20 trap: models shine in pilots, break on edge cases in production
🔹 Data → information → insight: organizing unstructured text to unlock value
🔹 Synthetic data: when it’s essential, where bias creeps in, and model collapse risks
🔹 Governance that helps, not slows: legal, risk, infosec as a visibility layer
🔹 HIPAA-by-design: de-identification, access controls, continuous monitoring
🔹 Production readiness: evals, guardrails, use-case risk tiers, and ongoing tests
🔹 Trust building: explainability plus human-in-the-loop for clinical safety
👥 Speakers:
Gabriela de Queiroz: / gabrieladequeiroz
David Hefter: / david-hefter-13530378
Anand Vallamsetla: / thewhyman
⏱️ Timestamps
00:00 - Intro: Why most AI pilots fail to scale
01:28 - Intros: Resilience AI and BlackRock use cases
02:53 - Behavior change: chatbots vs agents in the enterprise
03:46 - The 80/20 problem: pilots vs real-world edge cases
04:57 - Data bottlenecks: from siloed data to useful information
06:42 - Synthetic data: where it helps and what to watch
10:28 - Regulated contexts: GDPR, CCPA, HIPAA in practice
11:08 - Governance that accelerates, not blocks
13:14 - HIPAA-by-design and continuous monitoring
15:28 - Deployment readiness: evals, guardrails, risk tiers
18:03 - Building trust: explainability and human-in-the-loop
20:41 - Strategy: align AI with business goals and ROI
23:23 - Buy vs build and staying on the cutting edge
26:20 - How startups stand out: talent, customers, domain expertise
30:03 - DevRel matters: driving adoption with developers
30:23 - Trends to watch: agents, vibe coding, personalized health
32:13 - Closing
🔗 Helpful Resources:
– Step SF: https://sf.stepconference.com
👉 If you enjoyed the discussion, be sure to like the video, share your favorite insights in the comments, and subscribe to stay updated on our latest talks and demos!
🔗 Follow us for more:
– LinkedIn (Dmytro): / spodarets
– LinkedIn (Data Phoenix): / data-phoenix
– YouTube (Events): / dataphoenixevents
– YouTube (Dmytro): / @dmytrospodarets
– Twitter/X: https://x.com/Data_Phoenix
– Telegram: https://t.me/DataPhoenix
– Facebook: / dataphoenix.info
– Website: https://dataphoenix.info/
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: