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Speaker "Sakshi Naik" Details Back

 

Topic

Agentic AI Transformations

Abstract

ABSTRACT
Despite massive investment in agentic AI, 40% of enterprise projects will fail by 2027. Most
organizations make a critical mistake: they try to automate existing processes—designed by and for
human workers—without fundamentally reimagining workflows for what agents can do. This
15-minute talk cuts through the hype and explains why process redesign, not technology, is the
competitive advantage. Using proven case studies from Toyota, HPE, and Dell Technologies, we'll
examine how leading organizations are succeeding by restructuring operations end-to-end,
redesigning human roles, and building hybrid human-digital workforces. Key Insights:
• Why agents require fundamentally different process design than human-centric workflows
• How Toyota transformed supply chain visibility without replacing legacy systems
• Why HPE's multi-agent orchestration approach scales across the enterprise
• How Dell achieved double-digit improvements across all metrics through composite process
automation
• The three pillars of agent-native transformation: Value Stream Mapping, Agent-Native Architecture,
and Human-Digital Workforce Integration
You'll Leave With:
• A clear framework for identifying which processes are ready for agent automation
• Understanding of the real organizational requirements for successful deployment
• Five critical questions every CFO and CIO must answer before investing in agents
• A strategic roadmap for building a hybrid workforce in the agent-native era
The companies winning with agentic AI aren't winning because they have better agents. They're
winning because they've redesigned their operations end-to-end—not automating what exists, but
designing for what's now possible. Learn how to do the same for your organization.

Profile

Sakshi Naik is an AI researcher, data architect, and IEEE leader recognized nationally for her work on building ethical and reliable AI systems. She currently chairs the IEEE USA Agentic AI Subcommittee, where she helps shape U.S. policy positions on responsible automation and intelligent systems. With over five years of industry experience at Walgreens, Sakshi has engineered large-scale data and AI platforms on Azure Databricks, driving analytics modernization and end-to-end automation across enterprise environments. Her technical expertise spans data engineering, AI fairness frameworks, and scalable ML infrastructure. Beyond her professional roles, Sakshi is a speaker at global AI and data conferences including ODSC West, PASS Data Summit, AI Infra Summit, and the C# Software Architecture Conference, where she has addressed thousands on the future of trustworthy AI. She also mentors students and early-career technologists through IEEE and her YouTube series “AI with Sakshi.” Sakshi’s mission is to make AI both powerful and principled — systems that help people, not replace them.