How organizations can put their data to work in building human-centric AI models | VB Transform
0From raw data to business impact: Best practices on how organizations can put their data to work in building human-centric AI models
Companies today are generating insights from AI applications, though most aren’t realizing their full potential. Inefficient processes, lack of model flexibility, and outdated analysis are among the things hampering product design.
Join the Chief Customer Officer of Dataiku, one of the leading platforms used by companies to scale AI projects, who will explain how organizations need to embrace the following approaches for best-practice AI:
Speed across the organization via seamless processes, communication, etc. (remove blockers to go fast, otherwise you’ll never get there)
Maintaining optionality (stay flexible as the technology landscape evolves)
Excellent governance (so you can bring more people in and operate with confidence, and in line with your values)
The proper team: size, drive and abilities (engaged collaboration across skill sets and the desire to keep learning new techniques)
Constant evolution (never rely solely on the past; COVID has rendered most historical data/models useless)
Kurt Muehmel, Chief Customer Officer, Dataiku
In conversation with Seth Colaner, Editorial Director, VentureBeat