Scaling Enterprise AI: From Bottlenecks to Breakthroughs | Step SF 2025 скачать в хорошем качестве

Scaling Enterprise AI: From Bottlenecks to Breakthroughs | Step SF 2025

As enterprises move from pilot projects to full-scale AI deployments, challenges around data quality, compliance, and performance become unavoidable. In this Step San Francisco 2025 panel, Gabriela de Queiroz (F02 Labs) moderates a deep discussion with Anand Vallamsetla (Resilience AI, The Why Man) and David Hefter (BlackRock) on how leaders are overcoming bottlenecks in enterprise AI - from synthetic data and governance frameworks to model validation and real-world deployment. The panel explores: • Overcoming data scarcity, bias, and high labeling costs. • Using synthetic data and secure collaborations to accelerate AI training. • Navigating privacy, HIPAA, GDPR, and governance frameworks. • Closing the trust gap with explainability and human-in-the-loop systems. • Future strategies for scalable, ethical enterprise AI adoption. ⏱️ Timestamps 00:08 - Introductions: Scaling Enterprise AI panel opens 02:31 - Biggest overlooked challenges in scaling AI 04:21 - Data bottlenecks, synthetic data & compliance 14:56 - From prototypes to deployment: guardrails & trust 20:54 - Aligning AI with business goals & startup challenges 30:13 - Future trends: AI agents & personalized healthcare 👉 Find out more about Step events at https://stepconference.com 🔔 Subscribe for more talks from Step San Francisco & Step Dubai 📱 Follow Step for more: Instagram |   / stepsanfrancisco   LinkedIn |   / step-conference   X |   / stepconference   Facebook |   / stepconferencepage   🎥 Video created by ⁨‪@DataPhoenixEvents‬