We all know how Al improves our lives: Cancer detection, traffic reduction, cat name-generators. But we also know its less promising side — that Al bias can cost businesses revenue, brand perception, and talent. According to the Capgemini Research Institute, 34% of consumers would stop interacting with a company if their AI interaction resulted in ethical issues. Find out how companies can unlock business value with unbiased AI.
Machines are designed to favor some data over others. But mathematical models weren't judged until very recently, and now their biases can pervade and distort operational reality to create unintended consequences that are hard to undo. Cue damaged employee-employer relationships and recruiting, lost customers, and more.
To fix it, we need to understand how it arises. In the latest edition of Focus Al, the NYU Tandon Future Labs partner with Capgemini's Applied Innovation Exchange to explore the stages of understanding and preventing data bias — framing the problem, collecting the data, and preparing the data. Microsoft Cloud Customer Success Director Jonn de Havilland is the keynote speaker. Hear from Julia Stoyanovich, NYU Tandon professor and cofounder of Data, Responsibly, on what companies can do — and discard — to improve data acquisition, analysis, and implementation. Data scientists Jason Kodish (Capgemini) and Triveni Gandhi (Dataiku), and AI thought leader William Thompson (Forbes Insights) explore how to deploy unbiased AI, critical for forward-thinking companies. Startups Accrete and Dataiku examine traditional and alternative data for insights and unpredictable trends.
Join us to see how your business can break bias and improve business outcomes.
Must be 21 + to attend. Please bring photo ID.
John de Havilland is a Customer Success Director at Microsoft, focusing on data, analytics and AI in Microsoft' s cloud platform and leading a team of cloud solution architects who work with customers to solve some of their most difficult challenges. John and his team connect technology to business solutions, spanning the gamut of application development through to artificial intelligence. Prior, he was a cloud solution architect focusing on Advanced Analytics and AI.
Julia Stoyanovich is an Assistant Professor of Computer Science and Engineering at the NYU Tandon School of Engineering, and the Center for Data Science. Julia's research focuses on responsible data management and analysis practices: operationalizing fairness, diversity, transparency, and data protection in all stages of the data acquisition and processing lifecycle.
Triveni Gandhi is a Data Scientist at Dataiku where she works with clients to deploy custom AI solutions and derive meaning from complex data science pipelines. She is also a co-host of the Banana Data Podcast, which highlights new developments and challenges in the world of AI. Prior to Dataiku, she served as a data analyst for a large education non-profit in NYC, where she developed data pipelines and analyses to support the work of educators across the city. Triveni holds a PhD in Political Science from Cornell University.
Jason Kodish is Group Global Data Lead at Capgemini, where he develops their universal PoV and activation model around data. Kodish has created numerous AI and analytics tools and methodologies, including IDIOM – an AI-driven agency, people-based planning, and activation tool, as well as the social listening/analytics methodologies for Digitas’ real-time marketing platform.
Prashant Bhuyan is Founder & CEO of Accrete. He launched Accrete to build and apply dynamic, continuously learning analytical tools capable of uncovering hidden features in complex unstructured datasets to surface predictive insights that would be impossible for human experts to identify using traditional tools.
Jesse Bishop is a Solutions Architect at Dataiku working with a wide variety of Fortune 500 clients and specializing in helping large organizations operationalize their AI workflow. Jesse is an Insight Data Science Fellow in New York City. He previously worked for the Federal Trade Commission developing models to predict the impact of mergers in a wide variety of industries including Energy, Semiconductors and Ecommerce. Jesse earned his PhD in Applied Microeconomics from the University of Minnesota.
William Thompson is Managing Director of Forbes Insights, the research and technology analyst practice of Forbes Media, and the Publisher of Forbes AI. William came to Forbes from The Economist Intelligence Unit, where he helped advise Global 2000 corporations and venture-backed startups on using research to position themselves as thought leaders.
Peter Maloof is Vice President & Director of Capgemini's NY Applied Innovation Exchange (AIE). He helps clients get beyond the ordinary — because if you’re doing “business as usual,” you won’t be doing it much longer. He advises organizations to confront new realities and develop an intrinsic ability to apply innovation.
The Applied Innovation Exchange (AIE) is Capgemini’s global platform that leverages a framework for action, a network of exchange locations, and a high-performance engagement experience together with a broad community of designers, technologists, sector experts, business and technology partners, academics, research organizations and startups.
The AIE is designed to enable enterprises to discover relevant innovations and to contextualize and experiment with them within their specific industry. The cohesive network of Exchanges provides organizations an immersive and transformative environment for the exploration, discovery, testing and application of innovation, as well as the rapid deployment at scale and sustainability of their target business impacts.
For more information please visit: https://www.capgemini.com/service/applied-innovation-exchange/
The Future Labs are a network of innovation spaces and programs that grow early-stage startups of tomorrow through curated support services, mentorship, and resources. Launched in 2009 by NYU Tandon School of Engineering, the Future Labs live at the intersection of New York’s entrepreneurial ecosystem and a leading academic institution. For more information, visit futurelabs.nyc.