While training AI models, having the best model architecture is not enough. Without the correct data, the model falls short on many fronts, such as bias, over or underfitting. It's always garbage in, garbage out.

Dr. Jennifer Prendki is the founder of Alectio, a company pioneering the art of "DataPrepOps," a term coined by Dr. Prendki herself. Alectio uses active learning for many of its products; one of them is using active learning for DataPrepOps. In this episode, Dr. Prendki explains active learning, what Alectio does, and the future of AI research.

IMPORTANT LINKS:

✅ Dr. Prendki's LinkedIn: https://www.linkedin.com/in/jennifer-prendki/

✅ Alectio LinkedIn: https://www.linkedin.com/company/alectio/

✅ Alectio website: https://alectio.com/

PODCAST DETAILS:

✅ Spotify: https://open.spotify.com/show/53meKeZGCMQdVKUoWfnu5x?si=pRxpMGYpSUKaqjAhauTP8w

✅ Apple Podcast: https://podcasts.apple.com/ca/podcast/ai-podcast/id1689350103

✅ YouTube Podcast: https://youtube.com/playlist?list=PLV9VnT1svgQTRrlf_GopP0JiSUIpzOtjr

Follow me on:

✅ LinkedIn: https://www.linkedin.com/in/debangsha-sarkar/

✅ Twitter: https://twitter.com/DebangshaSarkar

✅ Youtube: https://www.youtube.com/@artificialliai