What you can expect
Catch up on what your peers are reporting about the practical application of data science and machine learning in your industry. Learn about how much organizations are spending on data science and machine learning (DSML) initiatives, biggest considerations for the DSML tech stack, barriers to MLOps, the state of the data science skill gap, and more.
Investments suggest drastic growth, but lack of talent is a challenge
Learn how leaders are dealing with the shortage of data scientists in the market, while they’re under pressure to deliver ROI on data science projects.
Non data experts are getting involved
Learn how organizations are tackling upskilling and bringing domain expertise into the development and operationalization of their data projects.
How open source capabilities keeps organizations on the cutting edge
Hear how decision makers are considering extensibility and open source nature of platforms to ensure they can keep up with the fast changing ecosystem.