AIIM - The Global Community of Information Professionals

Are You Bottlenecking Your Digital Transformation?

Oct 13, 2018 9:05:00 AM by Kate Dalton-Hoffman

Are you planning to modernize your information management strategy with machine learning? You're not alone. According to AIIM research, 51% of organizations plan to spend “more” or “a lot more” in the next 18-24 months on their efforts to leverage analytics and machine learning. This task can be frustrating to tackle, and for this, we have a solution for you.

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Topics: digitization, digital transformation,, records management, Legacy, modern ecm, machine learning

[Podcast] Artificial Intelligence Training for Information Professionals

Oct 10, 2018 11:00:00 AM by Sean McGauley

For me, "Artificial Intelligence" used to conjure up images of the latest Sci-Fi movie or things like the talking car KITT from the 80's TV show Knight Rider. It wasn't until fairly recently that I began to see this shift from Sci-Fi movie topic to business value.

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Topics: podcast, digital disruption, digital transformation,, Artificial Intelligence, machine learning

Can Machine Learning Defeat the Venerable Structured Template?

Oct 9, 2018 10:30:00 AM by Greg Council

The venerable template allows structured form data to be accurately extracted. In the document capture industry, the concept of templates where you specify the location of each data element is a tried-and-true strategy for structured forms. If the form is standardized, giving the software the precise place to look for data will almost always result in better performance over alternatives such as rules-based approaches using keywords or patterns. Even with unstructured data such as on invoices, we find that many organizations have opted for a template approach after finding that more flexible, rules-based approaches fall short. The result is a tremendous amount of upfront effort and a lot of maintenance.

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Topics: data, automation, digital transformation,, Artificial Intelligence, machine learning

[Podcast] Behind the Scenes at AIIM's Leadership Council Summit

Sep 19, 2018 11:24:00 AM by Sean McGauley

For over 10 years now, AIIM's Leadership Council (LC) summit series has been the go-to event where the forward-thinking professionals in information management gather to delve into matters impacting the future of the industry.

These member-only events offer a collaborative space for the dynamic conversations that help shape the role of the information management industry in a new era of business. In June of 2018, summit meetings were held in in Baltimore and London to discuss Surviving Digital Disruption: Finding Opportunity in the Drive for Platform Dominance. The discussion from those events was developed into a report: Surviving Digital Disruption (available for download).

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Topics: podcast, digital disruption, digital transformation,, Artificial Intelligence, machine learning

Clearing the Complication - Making Machine Learning and Artificial Intelligence Accessible and Useful

May 17, 2018 10:32:00 AM by Alan Pelz-Sharpe

These days it feels almost impossible to have a conversation with anyone involved in the world of Information Management without bringing up machine learning and artificial intelligence. Everyone is talking about it, everyone has an opinion, everyone claims to be doing it — or at least thinking about doing it. AI is part of the popular zeitgeist, entering our lives in the form of autonomous vehicles on our roads, Alexa in our homes, and a burgeoning AI arms race between rival world powers. Yet despite all the talk, no one really seems to agree on what its real impact will be. In fact, everyone seems to have a different definition for what ‘it’ even is. There are those telling us it’s nothing new and its potential is over-hyped, while others tell us that AI and Machine Learning will make us all redundant.

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Topics: machine learning, Artificial Intelligence, training

Surviving Disruption -- Strategies for the Era of AI and Machine Learning

Apr 18, 2018 9:00:00 AM by John F. Mancini

Truly disruptive moments occur only once in a generation. They occur when the cumulative inertia of technology innovation combines to disrupt business models. And the heart of disruption is ultimately when radical technology changes are standardized and then incorporated into new business models.

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Topics: Artificial Intelligence, intelligent information management, content mangement, machine learning

Going Down the Rabbit Hole

Feb 15, 2018 10:44:00 AM by Theresa M. Resek, CIP

When I was a young child, in an era when school papers had to be researched in libraries with card catalogs and shelves upon shelves of books, my father had the bright idea to purchase a complete set of Encyclopedia Britannica. Now, we lived on a tight budget and my mother wasn’t too thrilled with this splurge when a perfectly good library was so close to home. Dad wouldn’t hear of it! “Our girls need the best education we can offer,” so of course, mom relented.

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Topics: ecm, intelligent information management, machine learning, digital transformation,, capture

Who's Watching Your Operations?

Feb 1, 2018 10:28:00 AM by Bob Larrivee




You manage a large facility with multiple buildings across the campus. Each building while somewhat unique, is equipped with plumbing, electrical, security, HVAC, and other elements that must be monitored, maintained and repaired at some point. Ideally, you would have an army of staff available to monitor and check everything constantly to provide feedback and predict what will happen before catastrophe strikes, but you don’t. This is where machine learning and industrial operations can play a significant role.

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Topics: machine learning, content analytics, data analytics

Guest Post -- Automation Is Changing the Way We Work

Jan 19, 2018 11:07:00 AM by Tanya Brooks

Artificial intelligence is changing the way we do everything. As we look ahead, self-driving cars, hyper-intelligent predictive software, and self-improving robots seem possible.

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Topics: automation, machine learning, Artificial Intelligence

4 Information Capture Challenges to Prepare for the Era of AI and Move to the Next Level

Jul 27, 2017 12:13:55 PM by John Mancini

 

In a recent AIIM survey we investigated the question of what information capture “leadership” looks like in user organizations. What does information capture look like in leading organizations that want to position this competency not only as a source of immediate competitive advantage, but also as a long-term competency critical to the coming era of machine learning?

What are the problems that organizations are experiencing with their capture implementations as they consider this evolution? Here 4 key problem areas that surfaced in our survey; we’ll also be discussing this survey and its implications in an AIIM webinar on September 19.

4 Key Information Capture Challenges in Moving to the Next Level

  1. Multiple document types -- Most organizations are struggling with capture complexity that is driven by the sheer volume of document types that must be managed.
  2. Uncertainty about data accuracy -- Data is at the heart of the Digital Revolution. And data quality is at the heart of the challenge facing organizations as they attempt to make their data fit for purpose and fit for use.
  3. Poor usability -- 62 percent of respondents in our survey rate their capture software “very difficult” or “somewhat difficult” to configure.
  4. True information capture is more complicated than simple imaging -- Capture is often assumed to be synonymous with scanning. The reality is that most organizations need to do far more than just process images.

Interested in learning more? Download my new free Tip Sheet!

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Topics: information capture, intelligent capture, parascript, Artificial Intelligence, machine learning

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