This week in data: The ML, AI and data landscape with Matt Turck

In this week’s video, Bruno explains the latest edition of the ANGRY (Machine Learning, Artificial Intelligence and Data) landscape. Matt Turck, CEO of FirstMark Capital, will also join the CarCast to discuss the current landscape and key trends. Watch the video below for an in-depth explanation of what’s happening in machine learning, artificial intelligence, and data today:

This week’s CarCast covers the following:

1. Funding trends in public and private markets and how they affect the data world. In 2022, IPO volume fell 78% and public data and infrastructure companies retreated (-51% vs. -19% S&P 500). Startups witnessed the “Great VC Pullback” raising approximately $238 billion in total, down 31% from the previous year.
2. The McKinsey & Company survey shows that 63% of respondents will invest more in AI over the next three years. And we know that, according to a survey published in VentureBeat, nearly 70% of data leaders want to INCREASE their data management investments this year.
3. When it comes to data trends, Mark’s blog highlights seven key trends, and Bruno wraps them up in three major developments: consolidate, converge, and fold where categories converge, or fold under each other. For example, ETL and reverse ETL, data quality and observability, OLTP and OLAP (aka HTAP), folding data catalogs under data management platforms, and folding MLOps under AI platforms.

And finally, the Modern Data Stack (MDS) seems to be under pressure. Watch the video to find out what that means for data today.

Bruno Aziza is head of data and analytics at Google Cloud.