Sep 9–12, 2019

Unlocking the value of your data (sponsored by IBM Watson)

9:25am9:35am Wednesday, September 11, 2019
Location: Hall 2
Average rating: ****.
(4.20, 5 ratings)

Organizations recognize that data is what fuels digital transformation and are looking for new ways to unlock the value of their data and accelerate their journey to AI. That’s why 80 percent of business leaders view AI as a strategic opportunity. Yet only 19 percent understand the data required for AI. Further, only 1 in 20 AI models make it to production and deliver any ROI. Simply put: There is no AI without information architecture (IA). Dinesh Nirmal examines how, with a unified, prescriptive information architecture, organizations can successfully unlock the value of their data for AI, as well as trust and control the business impact and risks of AI while coexisting in a multicloud world.

This keynote is sponsored by IBM Watson.

Photo of Dinesh Nirmal

Dinesh Nirmal

IBM

Dinesh Nirmal is vice president of development for data and AI at IBM. His mission is to empower every organization to transform their industry—whether it’s aerospace, finance, or healthcare—by unlocking the power of their data. Dinesh speaks and writes internationally on operationalizing machine learning and advises business leaders on strategies to ready their enterprises for new technologies. He leads more than a dozen IBM Development Labs globally; recognizing a market need for data science mastery, he launched six machine learning hubs to work face-to-face with clients. Products in his portfolio regularly win major design awards, including two Red Dot Awards and the iF Design Award. Dinesh is a member of the board of the R Consortium and an advisor to Accel.AI. He lives in San Jose with his wife Catherine Plaia, formerly an engineer at Apple, and their two young sons.

  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • H2O.ai
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

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