Alex Vayner
22 Sep 2019
AI for Business and Products

Velocity to value: How data science can help accelerate innovation in the age of turbulence

We’ll look at why companies should examine their data assets to combat disruption and how they can avoid common pitfalls to rapidly and effectively build data products and services. We’ll explore several themes like whether it’s better to build their own solutions or buy products, how to set up early stage prototypes and convert them to industrialized solutions, and what kind of data scientists and engineers companies need and when. Lastly, we’ll talk about how companies can use data-driven methodologies to manage initiatives across all innovation horizons.