Ankita Upadhyay | Guardrails for Agentic AI Enterprise скачать в хорошем качестве

Ankita Upadhyay | Guardrails for Agentic AI Enterprise

Learn how to govern AI systems that plan, decide, and execute independently. Ankita Upadhyay, Sr. Director of AI Enablement at Thomson Reuters, addresses enterprise AI's most critical challenge: managing autonomous agents that operate without constant human intervention while maintaining ethical accountability. Why This Matters: 2025 marked a definitive shift from asking "What can AI answer?" to "What can AI do?" As enterprises embrace agentic AI for autonomous decision-making, the primary challenge has become governing systems capable of independent planning, integrated tool use, and multi-step execution. "There need to be guardrails, because it is impacting so many people." What You'll Learn: Governance frameworks for Agentic Autonomy in enterprise environments Non-linear accountability models scaling with AI's increasing agency Evolution from Responsible AI foundations to Agentic Governance in 2026 Ethical guardrails for autonomous decision-making systems Moving organizations beyond experimentation into autonomous workflows Balancing AI autonomy with human oversight and control Agentic AI represents a fundamental shift in how enterprises deploy artificial intelligence. Unlike traditional LLMs that respond to prompts, agentic systems perform independent planning, utilize integrated tools, and execute complex multi-step processes. This talk traces the evolution of Responsible AI practices and reveals why 2026 demands entirely new governance approaches for systems that don't just assist but act. About the Speaker: Ankita Upadhyay is a high-impact technology leader and Sr. Director of AI Enablement at Thomson Reuters, where she orchestrates large-scale enterprise transformations. With an MS in Computer Science (Data Science) and Stanford Executive Leadership certification, she bridges deep technical rigor with C-suite strategy. Her career spans Fortune 50 tech giants and research labs, evolving from Big Data foundations to the current frontier of Agentic AI. Ankita specializes in AI Value Creation and Synthetic Data, moving organizations beyond experimentation into autonomous workflows. As an Angel Investor in Data/AI ventures, she serves as a trusted advisor to executives focused on building the hybrid human-AI workforces of tomorrow. From Remarkable 2026: Presented at Vector Institute's annual conference (February 19-20, 2026), where 1,500+ researchers and industry leaders explored how AI research translates into real-world impact. This talk addressed the critical question facing enterprises: how to harness autonomous AI while maintaining accountability and ethical standards. About Vector Institute: Vector drives excellence in Canada's AI knowledge creation and application, fostering economic growth through research, industry collaboration, and talent development. We're building Canada's leadership in responsible AI innovation. Join the Community: 🌐 https://vectorinstitute.ai/ 🐦 https://x.com/VectorInst 💼   / vector-institute   Subscribe for more enterprise AI insights, governance frameworks, and practical strategies for deploying autonomous systems responsibly.