Making STEM Accessible to All: Today’s Youth Represent Tomorrow’s Leaders w/ Slater Victoroff at Indico Data (Episode 153) #DataTalk
Every week, we talk about important data and analytics topics with data science leaders from around the world. You can subscribe to the DataTalk podcast on iTunes, Google Play, Stitcher, SoundCloud, and Spotify.
DataTalk features data science leaders at MIT, Caltech, United Nations, Gartner, Twitter, Salesforce, Amazon, UBER, IBM, LinkedIn, Spotify, Dow Jones, and dozens of other startups and top data companies.
In this week’s #DataTalk, we chat with Slater Victoroff, Founder and CTO of Indico Data, about making STEM more accessible to all. Slater talks with us about his career journey leading up to starting a tech company, he talks about intuitive machine learning techniques being used at Indico, and how organizations can contribute to making the STEM field more inclusive to underserved communities.
Video Highlights from the Conversation:
- Slater’s Passion for DEI in Tech
- Starting a Tech Company
- Intuitive Machine Learning Techniques
- How Organizations Can Make STEM More Inclusive
- Importance of Having STEM Programs in Schools
This show is hosted by Destiny White and Mike Delgado. Please reach out with suggestions for future topics or guests.
You can also catch the full video interview here.
About Slater Victoroff
Slater Victoroff is the Founder and CTO of Indico Data, an enterprise AI solution for unstructured content that emphasizes document understanding.
Slater has been building machine learning solutions for startups, governments, and Fortune 100 companies for the past seven years and is a frequent speaker at AI conferences.
Indico’s framework requires 1000x less data than traditional machine learning techniques, and they regularly beat the likes of AWS, Google, Microsoft, and IBM in head-to-head bake-offs.
Indico recently announced a $22 million Series B raise.