Discover The Next Generation of AI at DataRobot’s Virtual AI Cloud Event, September 23, 2021

Sep 21, 2021 by DataRobot

DataRobot CEO Dan Wright to keynote event showcasing DataRobot’s vision for transforming business with AI

September 21, 2021 — BOSTON — AI Cloud leader DataRobot is on a mission to transform every industry, every business service, every customer interaction and more with AI, and will show attendees how at its AI Cloud event on September 23, 2021, at 11AM EDT. 

DataRobot’s recently launched AI Cloud, a unified platform designed for the next generation of intelligent business, is the company’s response to the challenges and opportunities organizations face today when translating AI to business value. The virtual event will unlock the vision behind AI Cloud and offer  bold observations on the future of AI, with insight from CEO Dan Wright, product leaders, data scientists and AI ethicists.

Event Agenda:

Keynote Session

Advancing AI Cloud with DataRobot 7.2

  • Time: 11:45 AM – 12:15 PM (30 Min)
  • Speaker: Nenshad Bardoliwalla, SVP of Product, DataRobot
  • About: This session will dive into DataRobot 7.2, introducing unique innovations that unify all users on a single platform, generate stronger, trusted business results, and ensure AI in production delivers the results your business demands.

Augmented Intelligence and Trusted AI: People, Process, & Tech

Decision Intelligence: Closing the Gap Between AI and Business Action

  • Time: 11:45 AM – 12:15 PM (30 Min)
  • Speaker: Dan Becker, VP, Decision Intelligence, DataRobot
  • About: Decision Intelligence is the last mile for AI, translating predictions into clear actions. This session explores how DataRobot AI Cloud Platform helps close this gap by delivering clear, transparent business decisions. 

Operating at Scale with MLOps

  • Time: 11:45 AM – 12:15 PM (30 Min)
  • Speaker: Diego Oppenheimer, EVP of MLOps, DataRobot
  • About: In this session, explore how to think about Machine Learning Operations and management, from accelerating AI to production, to securing sensitive data, to operating AI at scale.

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