CMU Founders Fireside Chat with Ankur Goyal

Our CEO, Ankur Goyal, joined the folks at CMU Tech & Entrepreneurship for a virtual chat about his journey, Impira’s evolution, and his insights on the AI/ML landscape. Watch the video or read through some of the highlights.

It’s no secret that businesses can use machine learning (ML) to drive automation across various processes. Most orgs are either building ML models from scratch or implementing pretrained models. These options are both time consuming and costly, but there’s a third option: A platform you can customize without any coding knowledge.

As with most things in life, outsourcing your core business processes has its pros and cons. Let’s talk about how Impira AutoML navigates these waters to be the right solution for you.

Central to every business, the Order to Cash process is the way businesses receive, process, manage, and complete customer orders. Today, many companies have automated parts of this process, but there are still a handful of valuable efficiencies that can be gained by introducing AutoML to your Order to Cash cycle.

For document-heavy industries — and what industries aren’t? — OCR is no longer enough. Impira AutoML is the answer to automate manual data entry tasks in minutes.

The world of automation is confusing enough and the acronym soup — AI, ML, OCR, ICR, RPA — adopted by vendors makes it more so. Here, we aim to define the terminology you’re hearing, explain how they are different and, hopefully, educate you on what’s best for your use case.

Document processing with OCR is still incredibly difficult in 2021. We explore why and introduce a disruptive solution through the use of AutoML technology.

90% of businesses understand the need to enable data-driven decision-making at all levels, but just 7% are taking steps to make that happen. Why the disparity?

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.