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SAN ANTONIO -- The influx of new technologies can have subtle changes on industries, or it can have massive implications. When it comes to AI, machine learning and the effect on content and information management, it falls in the latter camp.
This is why, on the eve of its 75th anniversary, the Association of Information and Image Management dropped image from its name, adopting the modern moniker of Association of Intelligent Information Management.
"It's pretty handy the acronym still works," said Peggy Winton, president of AIIM, based in Silver Spring, Md. Winton spoke at AIIM Conference 2018, with roughly 800 professionals in attendance. After the opening keynote on Wednesday afternoon, some of the conference's first sessions were dedicated to these new technologies and how they are drastically changing the content management industry.
"The question isn't about where are we going as an industry; it's about where are we at," said Alan Pelz-Sharpe, founder and principal analyst at Deep Analysis, based in Boston.
Pelz-Sharpe acted as the moderator for a session on moving from legacy enterprise content management (ECM) tools to modern intelligent information management and how AI, cloud and blockchain all play a role.
Shift in mindset regarding the cloud
Initially, there was widespread hesitation for moving to the cloud in the intelligent information management space. However, attitudes changed as other businesses began adopting the cloud and security concerns weren't as apparent.
"Five years ago, the cloud would have been a no-go," said Andrea Chiappe, strategic consultant at Broadridge Financial Solutions, based in Lake Success, N.Y., who was on the panel.
Kashyap Kompella, CEO and principal analyst for rpa2ai, an automation and AI consultancy in Bangalore, India, added that, "initially, the cloud wasn't as secure -- and we've seen that change over the years. There's been a shift in mindset, but there was truth to the notion of the ECM industry being cloud-reluctant."
As use cases grew and more vendors developed products built for the complexities of ECM and intelligent information management, cloud adoption in the content management space grew. And now, sectors that were concerned are becoming enthusiasts.
"We're seeing some financial services becoming early adopters of the cloud," Chiappe said as an example.
What to do about blockchain
While the cloud has solidified itself as a necessary technology with a plethora of use cases, the other end of that spectrum is blockchain. The promise and potential of blockchain is apparent, but for those in the intelligent information management space, it may be a couple of years before it starts to find its place.
"To use blockchain to solve an information management problem, we need to understand how things are evolving," said panelist Dan Abdul, vice president of data strategy and commercial implementation for UnitedHealth Group, based in Minneapolis.
Carl Hillierproduct group head of data capture, Abbyy
Pelz-Sharpe agreed, adding that he is bullish about blockchain for intelligent information management purposes, but sees serious rollouts three to five years down the line.
"The question is, should you be getting up to speed on blockchain now?" Pelz-Sharpe asked the audience.
The panel wasn't all in agreement on the dawning of blockchain.
"If you have the capacity to run a lot of different initiatives, then try blockchain. But it takes a lot of focus and initiative," Kompella said. "What is the opportunity cost of doing a blockchain implementation right now?"
'AI is a mystical term'
Splitting the gap between technology that is already here -- cloud -- and one that's on the horizon in blockchain, AI is growing in use cases and implementation, but not without some hesitation and concern from those in the intelligent information management space.
"AI is a mystical term," said Carl Hillier, product group head of data capture at Abbyy, based in Milpitas, Calif. Hillier was speaking at a separate workshop session at AIIM 2018 focused on determining whether AI is right for an organization. "When the cloud came out, people had a similar feeling."
But as use cases grew and companies could see the benefit, AI adoption continued to grow and intrigue more technological decision-makers.
"We want AI in every aspect of business operations," Abdul said. "Look at the state of U.S. healthcare. There aren't enough humans I could hire to help mitigate all the problems, but AI can help with that. But it's always important to keep an eye on what's coming out -- there's going to be a lot of things that are just noise."
But more so than other technologies, a company needs to have a strategy in place for what they want to solve when implementing AI.
"You don't make your company successful by buying a bucket of AI," Hillier said. "It's not about waving an AI wand -- there's no intrinsic value by itself. It's about picking the right thing to do with AI."