20–23 April 2020

Executive Briefing

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11:1511:55 Wednesday, April 22, 2020
Location: Capital Suite 10
Anna Gressel (Debevoise & Plimpton LLP), Meeri Haataja (Saidot), Jim Pastore (Debevoise & Plimpton LLP)
The Canadian Government made waves when it passed a law requiring AI impact assessments for automated decision systems. Similar proposals are pending in the US and EU. Anna Gressel, Meeri Haataja, and Jim Pastore unpack what an AI impact assessment looks like in practice and how companies can get started from a technical and legal perspective, and they provide tips on assessing AI risk. Read more.
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12:0512:45 Wednesday, April 22, 2020
Location: Capital Suite 10
Michael Li (The Data Incubator)
Drawing on experiences gleaned from hundreds of clients, Michael Li provides successful case studies from companies in a variety of industries that have successfully incorporated data science into their products and services. He presents the Pragmatic Data Framework, which successful clients have embraced to jumpstart their data science efforts and prioritize high-impact data science projects. Read more.
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14:0514:45 Wednesday, April 22, 2020
Location: Capital Suite 10
Maurice Coyle (Trūata)
Is customer trust dead? Maurice Coyle unpacks this question and explores some of the myths around the use of personal data and consumer privacy. He debunks some of the most common data privacy myths and shares valuable insights into the effective use of data for insights-driven organizations. Read more.
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14:5515:35 Wednesday, April 22, 2020
Location: Capital Suite 10
Daniel Huss (gravityAI)
Many types of algorithms have become commoditized, yet companies continue to use tight resources to try to build these in-house all the time. Considering that according to Gartner, 87% of internal data science projects fail to make it into production, it's crazy to concentrate resources on anything but the most proprietary of projects. Daniel Huss is here to help you decide where to focus. Read more.
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11:1511:55 Thursday, April 23, 2020
Location: Capital Suite 10
Simon Lidberg (Microsoft), Benjamin Wright-Jones (Microsoft)
DevOps, DevSecOps, AIOps, ML Ops, Data Ops, No Ops....Ditch your confusion and join Simon Lidberg and Benjamin Wright-Jones to understand what DevOps means for AI and your organization. Read more.
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12:0512:45 Thursday, April 23, 2020
Location: Capital Suite 10
Kevin Kim (Socar)
Socar has been seriously focused on data operations. Kevin Kim describes how Socar is redefining the car-sharing industry with data science with an experiment-based pricing strategy, machine learning–based demand prediction, optimized car management, accident risk profiling, and much more. Read more.
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14:0514:45 Thursday, April 23, 2020
Location: Capital Suite 10
Asif Jan (Roche)
Advances in AI and ML are critical to advancing understanding diseases and bringing better and more efficacious treatments to patients, realizing the dream of personalized healthcare. Asif Jan shares insights from building data science teams in pharma and outlines a road map for success of AI and ML in the pharma industry. Read more.
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14:5515:35 Thursday, April 23, 2020
Location: Capital Suite 10
LOMIT Patel (IMVU)
The future of customer acquisition rests on the shoulders of leveraging intelligent machines, orchestrating complex campaigns across key marketing platforms—dynamically allocating budgets, pruning creatives, surfacing insights, and taking actions powered by AI. Lomit Patel shows you how to use AI and machine learning (ML) to provide an operational layer to deliver meaningful results. Read more.
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16:3517:15 Thursday, April 23, 2020
Location: Capital Suite 10
Victor Gonzalez (ConCrédito)
Victor Gonzalez explores how the fintech ecosystem changes the rules of the financial services industry in Mexico. The ConCrédito digital transformation driven by data project is the basis for the growth and scope of business objectives. The business model needed to migrate from the traditional model to digital processes, allowing ConCrédito to be in the hands of its customers. Read more.

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