September 26-27, 2016
New York, NY

Making AI a reality for the enterprise and the physical world

Aman Naimat (Demandbase), MARK PATEL (McKinsey & Company)
1:30pm–2:10pm Tuesday, 09/27/2016
Verticals and applications
Location: 3D08 Level: Non-technical
Average rating: *****
(5.00, 3 ratings)

What you'll learn

  • Learn an actionable framework to identify future opportunities in the application of artificial intelligence
  • Description

    The AI winter is thawing and entering into its spring. Aman Naimat and Mark Patel present an analysis of the current adoption of AI in industry based on a systematic study of the entire business Internet covering investments, deals, and social data across 500,000 companies. Drawing on this data, Aman and Mark offer a new economic framework to discover, measure, and motivate future use cases for AI.

    This approach examines the challenges of achieving meaningful outcomes when applying AI, in combination with other technologies, to traditional business and societal challenges. Aman and Mark test the hypothesis that achieving the targeted outcomes of even mature use cases requires the alignment of stakeholders and coordination between technical solutions, business models, and incentives.

    Utilizing a top-down approach to how benefits and market sizes are calculated, Aman and Mark outline a model to measure the utility and market for AI in the future and then apply this model to the largest opportunities in businesses and society where human intelligence does not produce optimum results. You’ll discover new use cases and AI solutions that better measure end outcome.

    Topics include:

    • Why AI is relevant to the enterprise
    • The current market for AI
    • What companies are investing into AI and what they are doing with it
    • Why current applications of AI are focused only on certain fields and have yet to find application in solving business and societal problems
    • A framework for prioritizing and measuring the greatest impact areas of AI in both economic and societal terms
    • Top-ranked future AI use cases
    Photo of Aman Naimat

    Aman Naimat


    Aman Naimat is the senior vice president for Demandbase, where he works on leveraging the latest developments in artificial intelligence and data science for marketing and sales platforms. Aman was previously founder and CTO of Spiderbook, a data-driven sales engine for account-based targeting. Before Spiderbook, he was the cofounder of TopCorner, a platform for open government. Aman has been building CRM systems since he was 19 and has founded and worked in various startups in search, trading systems, and enterprise software. Aman was the architect for the Oracle CRM applications, the director of special projects for the CEO’s office at Oracle, and the senior director of product management in the Oracle Database Group. Aman holds an MS in computer science from Stanford, where his research focused on artificial intelligence and natural language understanding, and a master’s degree in public policy from Stanford. He was also a fellow at the Stanford Graduate School of Business. Aman holds a number of patents and has authored scientific publications on information retrieval, CRM, and databases.

    Photo of MARK PATEL


    McKinsey & Company

    Mark Patel is a partner at McKinsey & Company, where he advises semiconductor, high-tech, and industrial clients on their challenges related to strategy and operations. Mark has a decade of experience helping companies tackle their challenges in strategy, operations, and marketing. He is based in San Francisco and has served clients in the United States, Europe, and the Middle East. Previously, Mark was head of strategy and senior vice president of commercial operations for Amyris, a renewable-products company. Mark holds an MBA from Stanford University as well as master’s and bachelor’s degrees in engineering from the University of Cambridge.