AIIoT 2026

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KEYNOTE Speaker

CORPORATE KEYNOTE SERIES

Dr. Kiran Tomlinson

(Senior Researcher, Microsoft Research)

 
Bio: Kiran Tomlinson is a Senior Researcher in the AI Interaction and Learning group at Microsoft Research. His current research focuses on understanding the capabilities and limitations of large language models through theory and empirics. His research spans algorithms and machine learning for social science applications, particularly voting, preference learning, discrete choice, and network science. He received a BA in Computer Science and Mathematics from Carleton College in 2019 and a PhD in Computer Science from Cornell University in 2024.
 
Title of the Talk: Working with AI: Measuring the Applicability of Generative AI to Occupations
 
Abstract: With generative AI emerging as a general-purpose technology, understanding its economic effects is among society’s most pressing questions. Existing studies of AI impact have largely relied on predictions of AI capabilities or focused narrowly on individual firms. Drawing instead on real-world AI usage, we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot to measure AI applicability to occupations. We use an LLM-based pipeline to classify the O*NET work activities assisted or performed by AI in each conversation. We find that the most common and successful AI-assisted work activities involve information work—the creation, processing, and communication of information. At the occupation level, we find widespread AI applicability cutting across sectors, as most occupations have information work components. Our methodology also allows us to predict which occupations are more likely to delegate tasks to AI and which are more likely to use AI to assist existing workflows. Finally, we see an increase in occupation-level AI applicability our 9-month data period, driven primarily by people using AI for more varied tasks.
 

                             

                            Dr. Rajesh Parekh

 (Vice President of AI/ML, Intuit)

 

Bio: Dr. Rajesh Parekh is Vice President of AI/ML at Intuit, where he leverages the latest AI research advances to develop innovative new AI products and capabilities that power delightful customer experiences and drive measurable business impact.

Prior to Intuit, Dr. Parekh was Director of Engineering at Google, where he led teams building large-scale computer vision and machine learning systems to create a highly accurate digital model of the real world. This geospatial model powers key Google products including Maps, Local Search, Ads, and Automotive Services. His work helped unlock the value of Google’s geospatial data assets, contributing over $1B in incremental Local Ads revenue.

Before Google, Dr. Parekh led Data Science and Analytics at Facebook (now Meta) for Applied Machine Learning and Video initiatives, where he played a key role in launching and scaling Facebook Live. He has also held leadership roles managing global engineering and data science teams at Groupon and Yahoo!. Earlier in his career, he developed data mining products for e-commerce at Blue Martini and advanced data science solutions for insurance at Allstate.

Dr. Parekh earned his Ph.D. in Computer Science with a specialization in Artificial Intelligence from Iowa State University. He remains active in the academic community, delivering keynote talks, serving on organizing committees for leading international conferences, authoring more than 30 peer-reviewed publications, and filing multiple patents.

Title of the talk: From “Do-It-Yourself” to “Done-For-You”: Architecting AI and Human Intelligence for 100 Million Customers

Abstract: For decades, managing personal and business finances has been defined by manual data entry, complex paperwork, and high anxiety. Today, the expectation has shifted: customers no longer want software that helps them do the work; they want intelligent systems that do the work for them.

In this talk, I will share the company’s transformative journey in building an AI-driven expert platform that delivers seamless, “done-for-you” experiences to approximately 100 million consumers and businesses with TurboTax, Credit Karma, QuickBooks and Mailchimp. By uniquely combining Artificial Intelligence with Human Intelligence (HI), Intuit is redefining financial technology experiences. The impact of this architecture is massive: for example, AI-driven automated tax filing within TurboTax saved consumers an estimated 6 million hours of work in a single tax season and our AI-powered agents enabled small business owners to save up to 12 hours every month that could be reinvested in growing their business. 

Moving from high-level strategy to technical execution, I will take a deep dive into the advanced document intelligence technology behind the frictionless experience Intuit delivers for tax filers, and the AI agents that use AI and HI to deliver autonomous workflows for “done-for-you” accounting intelligence. 

 

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