Practical AI: An Interview with Ankur Goyal, CEO at Impira

In an interview with our founder and CEO Ankur Goyal, we explore Practical AI and what it really takes to put AI to action effectively.

In a recent podcast with IDC, I had the opportunity to discuss the future of intelligent search and its impact on helping today’s workers do more with less.

In the second installment of our ‘Doing More With Less’ series, we explore the critical challenges and opportunities that we expect Consumer Packaged Goods (CPG) companies to face today in the “new normal” and in the future as consumers increasingly pivot to digital purchases.

In the first installment of our ‘Doing More With Less’ series, we highlight the creative strategies employed by our customers on the Stitch Fix creative operations team as they manage workflows remotely and prioritize shared access to data.

Unstructured data is notoriously difficult to structure and query, but Impira Query Language (IQL) enables users to get “What” they need from information systems without worrying about “How” to search for it.

In light of the COVID-19 pandemic, here are five strategies our team is implementing to adjust to working from home.

Artificial Intelligence promises to solve a whole host of complex business problems, but how can you know for sure that a given problem is ripe for AI?

In part two of this series, we take a look at how no code is enabling machine learning to tackle complex workflows previously resistant to process automation.

This week, we examine business process automation, where recent advances in machine learning technology are enabling enterprises to automate tasks for unstructured data.

Consumer and enterprise software has evolved to become highly intuitive and user-focused. Machine learning, however, has mostly operated outside the users' control, only vaguely influenced through implicit feedback. At Impira, we are working on bringing explicit machine learning training into the hands of the user with our new product, Mango Beta.