Key Decisions When Architecting Data and Machine Learning Platforms

Data platforms are the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. Extracts from our recent O'Reilly book on this topic will cover the key decisions you will have to make in order to design, build, and modernize cloud native data and machine learning platforms.
[SPEAKER BIO]: Dr. Valliappa ("Lak") Lakshmanan is an operating executive at an investment firm. He helps management teams across a range of industries employ data and AI-driven innovation to grow their businesses. Prior to this, Lak was the Director for Data Analytics and AI Solutions on Google Cloud and a Research Scientist at NOAA. He co-founded Google's Advanced Solutions Lab and is the author of several O'Reilly books and Coursera courses. He was elected a Fellow of the American Meteorological Society (the highest honor offered by the AMS) for his data science work.
slide deck: github.com/lak...