NEW! Handling the Challenges of Unstructured Data, The Unsung Hero of Machine Learning

Hi Professional,

80% of data is unstructured. So why do most AI/ML tools only handle structured data? We've known how to deal with structured data for decades, so it's no surprise that most companies focus on the tried and true database as their backend. But for the tremendous amounts of unstructured data pouring into data centers, everything from high resolution satellite images, to video from film and TV, to music and audio recordings, to genetics data, financial reports, and chat logs databases just don't work very well. You need a platform that treats unstructured data as a first class citizen to do some of the most cutting edge work in machine learning today.

In this webinar attendees will learn:

• How to extract value from your team's unstructured data
• The differences in the ML tech stack between handling unstructured vs structured data
• What tools your team can take advantage of today