AI is a central part of every CIO’s strategy and in 2020, we’re seeing every enterprise looking to use data and AI to run business. An AI-driven enterprise is not only building machine learning models but infusing and integrating AI across every application in the enterprise. This requires internal and external applications to be AI-ready and agile to the demands of the enterprise and evolving machine learning models.
In this webinar, you will learn:
- The different stages of maturity as it relates to data science and analytics in an organization and consequently their AI maturity itself.
- How an enterprise can move from just using data science to improve operational efficiency to actually creating new lines of business or revenue generation opportunities using their data assets.
- How all of this can lead to more data, better models and ultimately help you build a really defensible moat against your competitors while continuing to delight your own customers to improve your margins.
- What components are required to build this AI-aware organization and how to get there as soon as possible.
- Demo of a modern AI application and review some of the key elements that make them native and agile.
Presenters:
Vinod Iyengar, VP Customer Success and Product at H2O.ai
Rafael Coss, Community and Partner Maker at H2O.ai