Director of Machine Learning Insights [Part 2: SaaS Edition]

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👋 Welcome to Part 2 of our Director of Machine Learning Insights [Series]. Check out Part 1 here.

Directors of Machine Learning have a unique seat at the AI table spanning the perspective of various roles and responsibilities. Their rich knowledge of ML frameworks, engineering, architecture, real-world applications and problem-solving provides deep insights into the current state of ML. For example, one director will note how using new transformers speech technology decreased their team’s error rate by 30% and how simple thinking can help save a lot of computational power.

Ever wonder what directors at Salesforce or ZoomInfo currently think about the state of Machine Learning? What their biggest challenges are? And what they're most excited about? Well, you're about to find out!

In this second SaaS focused installment, you’ll hear from a deep learning for healthcare textbook author who also founded a non-profit for mentoring ML talent, a chess fanatic cybersecurity expert, an entrepreneur whose business was inspired by Barbie’s need to monitor brand reputation after a lead recall, and a seasoned patent and academic paper author who enjoys watching his 4 kids make the same mistakes as his ML models.

🚀 Let’s meet some top Machine Learning Directors in SaaS and hear what they have to say about Machine Learning:

Omar Rahman

Background: Omar leads a team of Machine Learning and Data Engineers in leveraging ML for defensive security purposes as part of the Cybersecurity team. Previously, Omar has led data science and machine learning engineering teams at Adobe and SAP focusing on bringing intelligent capabilities to marketing cloud and procurement applications. Omar holds a Master’s degree in Electrical Engineering from Arizona State University.

Fun Fact: Omar loves to play chess and volunteers his free time to guide and mentor graduate students in AI.