Sep 9–12, 2019

Repeatable AI-driven digital transformation: Insights from 1,000 projects

Debo Olaosebikan (Gigster)
4:00pm4:40pm Thursday, September 12, 2019
Location: LL21 E/F
Average rating: *****
(5.00, 1 rating)

Who is this presentation for?

  • CEOs, CMOs, CROs, CIOs, CTOs, chief digital officers, innovation leads, and companies looking to start AI efforts or scale existing initial efforts




Though AI has powered dramatic improvements at top technology companies like Google, Amazon, and Facebook and has rightly garnered a huge buzz as an important technology force, there’s a still a huge gulf between the promise of AI and the reality of enterprise adoption and business impact. A key reason for this gulf is an inadequate understanding at the executive level of what causes the successful use of AI to drive transformative outcomes. Given such an understanding, there aren’t many examples of how to actually go from the current state of an organization to a center of excellence and to drive success repeatedly.

Debo Olaosebikan provides a practical definition of AI for enterprises and extracts insights from over 1,000 real-world software projects from organizations all over the world that allow for building toward a general framework for driving business impact from software. Debo explores specific use cases where AI has become more central to delivering novel customer experiences and business efficiencies. Unlike in typical demo or proof-of-concept use cases intended mainly for checking a box, in all of these use cases, there has been strong executive mandates for driving real business impact as well as significant investments made to ensure success.

These use cases allow Debo to bring the definition of AI and the important component technologies to life for executives to use these use cases to dig into the challenges faced by real organizations not only in building out the initial use cases but in laying the groundwork for sustained transformation. You’ll leave with a technical and organizational maturity model framework gleaned from direct experience on a multitude of significantly sized AI projects and data from partners and enterprise clients that are focused on driving business impact. The maturity model allows companies to think through a practical path from zero to one and an eventual AI center of excellence within their organizations.

Prerequisite knowledge

  • Experience driving key business outcomes or leveraging technology as part of company initiatives

What you'll learn

  • Gain a pragmatic understanding of AI and a framework for thinking about how to build from zero to a center of excellence
  • Learn to contextualize the business impact of AI
  • Understanding the most dramatic AI successes, key drivers of success and failure in AI efforts, key AI technologies, core AI use cases, and key enterprise challenges
Photo of Debo Olaosebikan

Debo Olaosebikan


Debo Olaosebikan is the founder and chief technology officer of Gigster, which has shipped over 1,000 projects for the largest companies in the world, and he’s an entrepreneur and engineer based in San Francisco. He’s founded multiple marketplace, energy, and AI startups and is on leave from a physics PhD at Cornell University, where he was lead researcher from Cornell on an MIT and Department of Defense project to build the world’s first electric silicon laser. Through various projects and startups in Nigeria and the US, he has worked on labor marketplaces, AI for software testing and medical diagnoses, natural language processing (NLP)-based query and recommendation engines, carbon nanotube theory, spintronics, nanophotonics, interactive books and authoring tools, silicon lasers, collaborative data science systems, and optical tweezers. He was once a radio-featured musician and was the young Nigerian scientist of 2011. Debo advises startups and helps young founders as a mentor at the Thiel Fellowship.

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

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