Paul Daugherty
Former Accenture CEO of Technology & CTIO | Founder, Accenture Ventures & AI Practice | Bestselling Author, Human + Machine
CTO for AI at Cognizant | Architect of the Neuro AI Multi-Agent Platform | Co-Founder & Former CEO of Sentient Technologies | Father of Apple's Siri Technology
Speaker Babak Hodjat is Chief Technology Officer for AI at Cognizant, where he leads the AI Research Labs and the Neuro AI multi-agent platform. Co-founder and former CEO of Sentient Technologies, he is widely credited with the core technology behind Apple's Siri, holds more than thirty patents, and founded the world's first AI-driven hedge fund. He gives executives a clear-eyed view of where agentic AI is actually taking enterprises next.
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AI speaker Babak Hodjat is Chief Technology Officer for AI at Cognizant, where he leads the company’s AI Research Labs and the development of its Neuro AI platform. With more than three decades inside the field and over thirty granted or pending patents, Hodjat sits at the intersection of frontier research and enterprise deployment, helping global companies turn advanced AI into measurable business outcomes.
Earlier in his career, Hodjat was co-founder, CEO, and Chief Scientist of Sentient Technologies, the team behind what was then the world’s largest distributed AI system, and the founder of Sentient Investment Management, the first AI-driven hedge fund. He is also widely credited with the core technology behind Apple’s Siri, which grew out of his work at Dejima Inc., where he served as CTO and helped pioneer agent-oriented interfaces for mobile and enterprise computing.
At Cognizant, Hodjat directs research and development of Neuro AI, a multi-agent platform that lets organizations design networks of AI agents that collaborate to make decisions, run operations, and solve complex business problems at scale. His team has open-sourced the core framework, neuro-san, making advanced multi-agent orchestration available to a broader community of developers and researchers. More on his role and current work is available on his Cognizant leadership page.
Beyond Cognizant, Hodjat is a prolific researcher and thought leader, with peer-reviewed work spanning agent-oriented software, evolutionary computation, and large-scale AI. He is a frequent contributor at the World Economic Forum and ITU’s AI for Good, and he leads Cognizant’s AI for Good initiatives, exploring how advanced AI can be applied to challenges in health, sustainability, and public benefit.
As a speaker, Babak Hodjat gives executive audiences a clear-eyed view of where AI is actually heading: how multi-agent systems, agentic workflows, and decision intelligence will reshape products, operations, and competitive advantage, and how leaders should plan, govern, and invest accordingly.
What does it actually take to move from AI experiments to AI that runs parts of the business? Speaker Babak Hodjat draws on his work leading AI research at Cognizant and his earlier role building the world's first AI-driven hedge fund to show how enterprises can turn predictive and decision AI into measurable outcomes. He maps the real building blocks, data, models, decisioning, and governance, and shares examples of how leading companies are reshaping decision-making, customer experience, and operations with AI.
Multi-agent systems are emerging as the dominant architecture for enterprise AI: networks of specialized agents that communicate, negotiate, and act to solve complex business problems. Babak Hodjat, architect of Cognizant's Neuro AI platform and a long-time pioneer of agent-oriented systems, takes audiences inside how this new layer is being built, where it delivers value today, and what leaders need to put in place to deploy multi-agent AI responsibly and at scale.
Behind Babak Hodjat's role as a CTO sits a long career as a Silicon Valley founder, including the team that built the technology behind Apple's Siri and the company that pioneered the world's largest distributed AI system. In this session, he shares hard-earned lessons on how to choose problems worth solving, attract technical talent, raise capital, navigate acquisitions, and build companies that turn deep research into real products.
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