I spoke with Tarek Madkour, Director of Product Administration at Databricks, about find out how to make “AI and ML readily useable by mere mortals.” What knowledge administration practices help on this course of?
Among the many subjects we mentioned:
- I see in your LinkedIn profile that you simply’re skilled in making “AI and ML readily useable by mere mortals.” How do you do that – how can mere mortals and common corporations do that?
- You’ve talked about that it’s “essential to spend money on the developer ecosystem and meet builders the place they’re.” Why is that this essential and the way does it relate to knowledge analytics?
- How is Databricks addressing the information wants of its purchasers? What’s the Databricks benefit?
- The way forward for the information warehouse and date lake? What are some key milestones we are able to count on within the years forward?
