In this episode, Adrian Kosowski, the co-founder and CPO of Pathway details:
What streaming data processing is and why it’s superior in many ways to the batch training of ML models that historically dominated data science.
How streaming data processing allows efficient, real-time model training.
How reactive data processing enables data applications to react instantly and automatically to never-before-seen input data potentially saving firms vast sums.
When a computer scientist should become a product leader.
What programming languages Pathway selected for their platform & why.
The big up-and-coming opportunity for data and ML start-ups.
Watch the podcast recording on Youtube here:
Get the transcript of the episode on the SuperDataScience website directly!
Guest Speaker on Charbon Podcast (in French)
Pathway featured in Sifted briefing on GenAI