Anant Jhingran has been in the tech industry for 27 years, and has a PhD in Database Systems from Berkeley.  He’s been at IBM, CTO of Apigee, and then after Apigee was acquired, at Google.

Apigee manages an API & data layer for various large enterprises .  They look at the data exhaust of those systems and understand patterns so people can improve what they’re doing through the APIs.  Apigee was recently acquired by Google, and Anant is working on integrating their technologies into Google’s infrastructure.

Join us to learn about Anant’s vision of the past, present, and future of data, technology, & artificial intelligence.

Episode Timeline:

  • 1:00 – Intro
  • 3:00 – All about Apigee
  • 6:00 – Apigee as a product
  • 9:00 – Startup Scale vs BigCo Scale
  • 11:00 – Two Pizza Rule
  • 20:00 – Communication as a Technical Person
  • 25:00 – Leadership Styles
  • 28:00 – All about AI
  • 32:00 – The Future of Data & Technology Plays
  • 34:30 — War Story
  • 37:00 — Engineering Values
  • 39:30 — Outtro

Book Recommendations


  • I’ve hacked the small culture, and now I want to hack the large culture.
  • Data has always been my passion.  
  • I want to hack the scale culture.  How can we take this product an order of magnitude higher?
  • In a big company, the culture is “go slow to go fast”.  You have to make sure that people come together around a decision before you execute on it.
  • A strong philosophy I have is that engineers who use their own products build other products.
  • We strongly felt we must build a product that we must use ourselves.
  • In a startup, we are all in it to *clean the toilets* so to speak.
  • Our CEO came from the middleware side, and I came from the database side.  I try to be a voice in other discussions, but I’m happy to drive the data architecture & analytics architecture.
  • It does take a village.  One of the best pieces of advice I can give to your listeners is *hire someone not like you*.
  • Smart people, having fun, with complementary skills creates success.
  • My PhD was less important for what I learned, but it was important because I learned how to do research.

  • Smart people should be able to communicate effectively.
  • The degree is less important than being able to think through ideas, be analytical, and think through via writing.
  • AI is amazing, provided it’s put to good use.
  • The future of applications you touch you use on your phones are applications that allow you to interact that learn and adapt.
  • AI to effect general mass has to be democratized.  Average developers have to be able to drop AI into their applications.
  • The sophistication of AI is really improving.  
  • In the future, every company will be a data & learning company.
  • Important parts of machine learning:
    • Algorithms
    • Scale of competition
    • The most important ingredient is Data
  • Greatness in cloud computing only comes those who have battle scars.
  • Coding without thinking is kicking the can down the road.
  • Coding without thinking is kicking the can down the road. You shouldn’t have analysis paralysis either though.  I’ve always felt that taking a deep breath and thinking through things and making sane choices leads to much better results.