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Seat-based and per-page pricing weren't built for AI automation. Learn why credit-based pricing is the only model that scales with document complexity and business outcomes.
Explore how AI-powered document processing delivers measurable ROI through cost savings, operational efficiency, and improved compliance in oil & gas.
Poor document management leads to compliance risks, delays, and lost revenue in oil & gas. Discover the hidden costs and how AI-powered automation fixes them.
Explore potential applications of ChatGPT and other LLMs in the Intelligent Document Processing (IDP) and Unstructured Data Processing (UDP) markets.
Discover where enterprises are at with intelligent automation, as well as where they’re headed (and what’s holding them back). Download the full SSON report for free thanks to sponsorship from super.AI.
As the global economy slows down, companies are turning to intelligent automation to cut costs and improve efficiency.
First-generation IDP products are falling short, with enterprises struggle to automate invoice processing beyond 50-60%. Both IDP and UDP are seeing expanded adoption and use cases.
Will enterprises move fast enough to leverage AI-driven data processing, or be left behind by AI-first startups waiting in the wings?
The amount of unstructured data is growing rapidly, and companies that fail to adopt technologies that enable unstructured data processing will suffer catastrophic failure.
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.
No-code platforms are the next evolution of technology. Find out why no-code automation and AI are today’s essential skills.
Automatic data processing is easily achievable with Unstructured Data Processing (UDP) that uses AI to extract and organize information and fuel business process transformation.
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.
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.
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.
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.
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.
What does RPA + AI really mean? Our guide to intelligent automation for the real world of data has answers. Learn about the evolution of automation, how to automate more processes by bringing AI into RPA, and more.
Don't get distracted by buzzwords or doomsday predictions about AI taking over the world. Learn how artificial intelligence can be used to unlock insights buried in unstructured data, make work more efficient, boost employee morale, and more.
Learn how optical character recognition works, the ways artificial intelligence is enhancing it, and what it can do for your business.
The rapid expansion of unstructured data is quickly reaching crisis levels. Learn why this unprecedented growth comes with problems, and how AI can be used to overcome them.
The POC (Proof of Concept) is an important and widespread way of qualifying technology providers. In this article we outline how Sun Tzu, a military strategist, would approach this modern day technique.
Santa reached out to Canotic to help him build some machine learning models to make his work a little easier. Here's how we helped.