When big data weighs you down instead of setting you free

“Big data” has been the buzzword of the 21st century. What are you missing if you don’t get on the bandwagon? Is it possible to unlock the power of big data without building complex and costly data infrastructure? We’ll explore the costs and risks of big data, and discuss some promising alternatives.

Michael Andrews, Impira’s co-founder and chief architect, talks through solving machine learning problems, implementing incremental execution, and how his team works through new ideas and tackles big challenges.

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?