How bridging data with design influences today's data products

Tech companies are making data products to empower us to work, explore, enjoy and create beyond what we can do now. With new Machine Learning based products paves new ways to capture, understand and communicate data. This drives us to question the tech product landscape. Namely, how these major tech companies have used the practices/capabilities from data science and usability mythologies from experience design to bring value to its users. Last year I spoke about how data and design can learn from each other, and this year, we'll reference today's real world examples to discuss how bridging data science with experience design influences data products.

How companies are using design and data to introduce new products?
How are methodologies in data science and experience design aiding in data product challenges?
How might data collection shape product innovation? How might this affect privacy and security?
Could evolving data products influence our behavior?