Reduce human dependencies and put your people where it matters most

Solely relying on either humans or technology for your data needs can get in the way of optimizing your business continuity. See how the right partnership between humans and machines can bridge the gap over human-error and technological limitations.

No matter how you slice it, a PIE framework can help turn your “should-do” list into your “to-do” list. By assigning all your tasks and initiatives a score, your team has a better chance of making major headway in actually getting things done.

Simply finding any old tool is the easy part — finding a tool that actually helps you succeed is a whole different story. We've done a bit of the research for you and made a narrowed-down list of some great, practical tools that'll help you address four major components of the data operations process.

Still processing all your invoices manually? Businesses that still do things the hard way are losing out on more than just time and energy. Read about the benefits of automating invoice processing.

Measuring the return on your automation investment requires insight into processes, time saved, and more. We walk you through how you can start measuring your ROI and proving value in automation investments.

One-shot learning lets you do a lot more with a lot less. This game-changer allows users to train machine learning without mountains of data and tons of resources. This means your business can run leaner while getting more done. The best part? Anyone can use it.

The financial institutions winning the customer service game earn more trust and ultimately make more money. But how? It all comes down to information. Better information means better customer management strategies. Automation unlocks the superior information that financial institutions need to win customers and keep them happy.

To err may be human, but when it comes to data entry, why not free people up to do things people do well, like being creative, strategic, and bold? Let’s leave the computer work to computers, and let humans be more human.

Amy Le tells us how several collaborative teams at Impira combined their efforts to create the Review Workflow — a new way of reviewing machine learning predictions that’s quicker and less tedious.

From small businesses to enterprises — you’re either getting ahead or falling behind. Take leaps and bounds in your digital transformation journey by automating your major business processes and everything in between.