Looking for ideas on how to spark A.I. innovation in your organization? Nicole Büttner, the eloquent and effervescent Founder/CEO of Merantix Labs, has concrete A.I. innovation frameworks for you in this week's guest episode.
Merantix Labs is a renowned Berlin-based consultancy that enables companies to unlock the value of A.I. across all industries.
In addition to being Founder and CEO of Merantix Labs, Nicole:
• Is a member of the Management Board of Merantix Labs’ parent company Merantix, an A.I. Venture Studio that has raised $30m in funding from the likes of SoftBank Group Corp. to serially originate successful ML start-ups.
• Holds a Masters in Quantitative Economics and Finance from the University of St.Gallen, the world’s leading German-language business school.
• Was a visiting researcher in Economics at Stanford University.
In this episode, Nicole details:
• What an A.I. Venture Studio is and how she founded a thriving A.I. consultancy within it
• How to spark A.I. innovation in a company of any size
• How to effectively use the unlabelled, unbalanced data sets that abound in business
• How to engineer reusable data and software components to tackle related projects efficiently
• The three distinct types of founders she looks for when she puts together the founding team of an A.I. start-up
Today’s episode touches on a few technical details here and there but the episode will largely be of interest to anyone who’s keen to make the most of A.I. innovation in a commercial organization, whether you happen to have a deep technical background today or not.
Special shout-out to the St. Gallen Symposium (Svenja, Rolf), which Nicole and I discuss our love for (as well as how you can get free flights, accommodation, and access — deadline to apply is Feb 1) starting at the 34-minute mark.
The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
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Data Observability — with Dr. Kevin Hu
This week's guest is the fun and wildly intelligent entrepreneur, Kevin Hu, PhD. Inspired by his doctoral research at MIT, he co-founded Metaplane, a Y-Combinator-backed data observability platform.
In a bit more detail, Kevin:
• Is Co-Founder/CEO of Metaplane, a platform that observes the quality of data flows, looks for abnormalities in the data, and reports issues
• Completed a PhD in machine learning and data science from the Massachusetts Institute of Technology
In this episode, Kevin covers:
• What data observability is and how it can help identify data quality issues immediately as well as more quickly resolve the source of the issue
• His PhD research on automating data science systems using ML
• How he identified the problem his start-up Metaplane would solve
• His experience in Y-Combinator accelerating Metaplane
• Pros and cons of an academic career relative to the start-up hustle
• The surprising complexity of the software tools he uses daily as a CEO
• What he looks for in the data engineers that he hires
This episode gets a little technical here and there but I think Kevin and I were pretty careful to define technical concepts when they came up, so today’s episode should largely be appealing to anyone who’s keen to learn a lot from a brilliant entrepreneur, especially if you’d like to found or grow a data science start-up yourself. Enjoy!
The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com.