WEBINAR “The Secret to Great AI: Great Data”

To access this webinar, please register here: https://hubs.li/Q01Jr0vR0

Topic: “The Secret to Great AI: Great Data ”

Speaker#1: Bernardo Caldas, Head of Data at Mollie

He is a data science & AI leader, passionate about powering digital transformation in companies and promoting social good in society using data. Bernardo is specialized in data science, machine learning and AI, having won two awards in this field (Innovation in Big Data Award by Thomson Reuters and Machine Learning & Neural Computation Award by Imperial College London). His goal is to be able to take any challenge, no matter how complex, and to solve it using a fusion of art & science, business & technology capabilities, services & solutions, data & analytics to make it happen. He has an MRes in Advanced Computing from Imperial College London, with a specialization in Machine Learning and a BSc in Electrical and Computer Engineering from Instituto Superior Técnico.

Speaker#2: Colin Priest, Chief Evangelist at FeatureByte

He is a seasoned business leader with more than 30 years of experience across various industries, including finance, healthcare, security, oil and gas, government, telecommunications, and marketing. With a focus on data science initiatives, he has held several C-level and general management roles, while also serving as a business consultant, data scientist, thought leader, behavioral scientist, and educator. Colin's passion for exploring the synergy between humans and AI has led him to contribute to projects on AI ethics, governance, and the future of work. He has gained global recognition from the World Economic Forum and Singapore government for his work on AI governance and ethics. Additionally, Colin is a passionate healthcare advocate who does pro-bono work for cancer research.

Abstract:
With all the attention on generative AI, tabular data isn't getting the attention it deserves. But tabular data often makes up the bulk of an organization’s data and contains its competitive edge and unique intellectual property.

Join us to learn about deriving valuable signals from tabular data. We will focus on how to add rigor to feature engineering, and best practices for deploying and maintaining features in production.

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