Home
arrow-gray

Updates and perspectives from our team

Follow Us
Share on TwitterShare on Twitter
Share on TwitterShare on Twitter
Share on TwitterShare on Twitter
Share on TwitterShare on Twitter
IDP
UDP

5 Key Considerations for Selecting Intelligent Document Processing (IDP) Solutions

Learn about the five most important things to look for when making an intelligent document processing (IDP) purchasing decision.

by
Manish Rai
AI Trends

Research Covering Top IA Trends Overlooks UDP

Unstructured data processing (UDP) is the connective tissue that joins IDP, AI, ML, RPA, BPA, NLP and more intelligent automation technologies. Dive into the alphabet soup and thank us for it later.

by
super.AI
UDP

The Highest Leverage Skill Almost Nobody is Learning

No-code platforms are the next evolution of technology. Find out why no-code automation and AI are today’s essential skills.

by
super.AI
UDP

What is Unstructured Data Processing (UDP)?

Automatic data processing is easily achievable with Unstructured Data Processing (UDP) that uses AI to extract and organize information and fuel business process transformation.

by
super.AI
AI Trends

AI Is 2022's Second Highest IA Investment Priority After RPA

New research from the Shared Services & Outsourcing Network shows AI rapidly gaining on RPA. Discover the top automation objectives for 2022, the state of automation maturity, how companies are using time saved by automation, and more.

by
super.AI
AI Trends

11 Things We Should All Know About Artificial Intelligence

Explore 11 topics that help us better understand the future of artificial intelligence. From hyperautomation to AI safety, these are the things we should all know (but probably don't) about AI.

by
super.AI
Events

Event Replay: AI Trends That Matter in 2022 (and Beyond)

Move past the AI hype and hone in on the trends that actually matter. Join Super.AI CEO, Brad Cordova, and Intelligent Automation author, Pascal Bornet, as they discuss the future of artificial intelligence.

by
super.AI
Machine Learning

GitHub is Bad for AI: Solving the Machine Learning Reproducibility Crisis

GitHub is not suitable for machine learning because ML isn’t just code, and that’s what GitHub was made for. Learn how this misfit is contributing to the reproducibility crisis in machine learning.

by
Brad Cordova
Finance

AI in Financial Services: Challenges and How to Overcome Them

Artificial intelligence offers tremendous benefits to financial services providers, but many face obstacles when deploying AI solutions.

by
super.AI
AI Trends

Is AI Safe?

Discover why AI safety is one of the biggest problems facing artificial intelligence, common approaches to AI model safety, how AI can make products safer, and more.

by
super.AI
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Button Text
close