Make it worth: how to successfully deliver ML to production
Senior Director of Machine Learning, Pendo
Dr. Inbal Budowski-Tal is the Senior Director of Machine Learning at Pendo, a unicorn startup in the field of Digital Adoption.
Inbal is leading the ML strategy at Pendo, and her team is developing the recently announced Simon platform, Pendo’s powerful ML engine.
Prior to Pendo Inbal worked as the Director of AI at EverC (a FinTech startup), as Head of Data Science at BiomX (a BioTech company), and as a Researcher at Microsoft.
Inbal has completed her Ph.D. in Computer Science at the Technion and the University of Haifa where she won the prestigious Google Anita Borg award and the Israeli Minister of Science Scholarship.
87% of ML projects are eventually not delivered to production. As an ML leader, I know that when productionized correctly ML provides value that other algorithm types can’t, and may turn out as a key differentiator for companies that embrace it. In this keynote, I share my experience with pitfalls that prevent us from delivering ML to production (yes, I have encountered them all) and provide practical approaches on how to avoid them.