Anant.Jhingran

Contributor

Anant Jhingran leads Products for API Management at Google. Prior to this role, he was CTO at Apigee, which was acquired by Google in September 2016. He joined Apigee from IBM, where he was VP and CTO for IBM’s Information Management Division. He is a data geek, but over time, he has grown to love middleware too.

Anant has received several awards, including IBM Fellow, IIT Delhi Distinguished Alumnus Award, the President's Gold Medal for highest GPA at IIT Delhi, and membership in the IBM Academy of Technology. He has also authored over a dozen patents and over 20 technical papers, including frequent keynotes in industry and academic conferences. Anant received his Ph.D. from the University of California at Berkeley.

The opinions expressed in this blog are those of Anant Jhingran and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.

Articles by Anant.Jhingran

The phases of digital transformation
Applying Theory to Practice in IT

The phases of digital transformation

To accelerate their digital transformation efforts, enterprises should focus on small, fast-moving teams, ecosystem participation and machine intelligence.
By Anant Jhingran and Michael Endler June 20, 2018
Moving toward outcome-based intelligence
Applying Theory to Practice in IT

Moving toward outcome-based intelligence

Newer machine learning techniques coupled with better programming techniques and more data-driven skills should make a difference, and so should better tools to directly connect outcomes to the core models.
By Anant Jhingran March 19, 2018
3 golden rules for winning in software-driven ecosystems
Applying Theory to Practice in IT

3 golden rules for winning in software-driven ecosystems

The key is to leverage software to create new relationships between suppliers and consumers, not to necessarily become the next giant platform on the scale of Facebook or Android.
By Anant Jhingran December 22, 2017
Do you really want to be a platform?
Applying Theory to Practice in IT

Do you really want to be a platform?

Platform businesses are all the rage—but trying to become a platform isn’t the only path to business success in today’s digital world.
By Anant Jhingran and Michael Endler November 14, 2017
Looking for invisible machine intelligence
Applying Theory to Practice in IT

Looking for invisible machine intelligence

Much of the focus around machine intelligence is on human-computer interaction – but many of the most transformative use cases may involve "invisible" manifestations that involve few, if any, people.
By Anant Jhingran and Michael Endler September 26, 2017
Applying Theory to Practice in IT

Machine intelligence: Build your own vs. as-a-service

We’re entering the first years in which virtually any enterprise that wants to harness machine intelligence will be able to. But how can enterprises know when they should develop in-house specialties in machine intelligence versus when they should leverage third-party resources?
By Anant Jhingran and Michael Endler July 21, 2017
APIs, ecosystems, and the democratization of machine intelligence
Applying Theory to Practice in IT

APIs, ecosystems, and the democratization of machine intelligence

Machine intelligence is on the verge of being democratized. Business leaders should stop thinking of machine intelligence in theoretical terms and start thinking of it as a force ready to be embedded in countless aspects of daily life.
By Anant Jhingran and Michael Endler July 6, 2017
Digital Ecosystems: Do Not Do It Alone!
Applying Theory to Practice in IT

Digital Ecosystems: Do Not Do It Alone!

Digital ecosystem strategies allow companies to leverage their strengths, mitigate their weaknesses, and pursue network effects – but to make these strategies work, enterprises must embrace a simple mantra: "Don't do it alone!"
By Anant Jhingran June 14, 2017