34 min listen
How Existing Businesses Should Organize Their Data Assets for AI
How Existing Businesses Should Organize Their Data Assets for AI
ratings:
Length:
30 minutes
Released:
Jul 22, 2018
Format:
Podcast episode
Description
Companies with wells of data at their disposal may find themselves asking how they can use them in meaningful ways. Generally speaking, a clean set of data is the foundation for AI applications, but business owners may not know how exactly to organize their data in a way that allows them to best leverage AI. How exactly does a business transition from having data with the potential for usefulness to having data that’s going to allow for an accurate, helpful machine learning tool—one that can actually help solve business problems? In this episode of the podcast, we speak with Bryon Jacob, Co-founder and Chief Technology Officer at data.world, a company that offers products and services that help enterprises manage their data. In our conversation, Bryon walks us through the common errors companies make when creating and organizing data sets, and how these companies can transition to a more organized and meaningful data management system. The details in this interview should provide business leaders with a better understanding of some of the processes involved in getting started with AI initiatives, and how to hire data science-related roles into a company. See the full interview article with Bryon Jacob live at: https://www.techemergence.com/how-existing-bus…ta-assets-for-ai/
Released:
Jul 22, 2018
Format:
Podcast episode
Titles in the series (100)
Tim Stevens - Beyond Google Glass: Augmentation, Virtual Reality, and the Future of Personal Security: Tim Stevens is Editor in Chief at Engadget, and he's one of the first people outside of Google to wear Google Glass. In this podcast, Tim talks about his experience with "Glass" (as it is often called), in addition to some potential visions of future... by The AI in Business Podcast