The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Artificial Intelligence (AI) | machine learning
While Artificial Intelligence (AI) has the potential to be a very powerful tool in information management, the topic is so wrapped up in hyperbole and confusion that it can be challenging to cut through all the noise, causing many to fear the complexity of AI. As you may know, AIIM recently launched a new training course titled Practical AI for the Information Professional. The challenge presented to my colleague Kashyap and I was to take a very complex and hyped topic and make it understandable and relevant to the real world needs of the business -- cutting through the hype, demystifying the technology and providing sound advice and guidance. New Training Course from AIIM: Practical AI for the Information Professional What we found in our research was that AI is not as complicated or daunting as most believe. We discovered in our dozens of conversations with folks from organizations of all sizes that there are three major misunderstandings about the use and value of AI.
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If we were to believe everything we hear in the press, then all computing and data storage is moving to the cloud — and quickly! The reality, though, is more nuanced. Firstly, there is no singular cloud; instead, there are hundreds of clouds to choose from. Secondly, not everything is moving to the cloud, and even the stuff that is, is moving slowly. The world of Information Management has been somewhat slow and reluctant to move to the cloud, and often with good reason.
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Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
Business Process Management (BPM) | Robotic Process Automation (RPA) | automation | process automation
I’ve been involved in some way or another in the world of business process automation (BPM) for over twenty years. I was the author of AIIM’s first BPM training course back in 2006. I’m a big fan of the idea of reengineering business processes, but there is no getting away from the fact that BPM projects are complex and scary – they require buy-in from the top (which is always difficult) and are seldom inexpensive undertakings.
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Blockchain is the hot topic of the IT industry – the explosive and rapid growth of BitCoin has taken the obscure technology of distributed ledgers into mainstream consciousness. But the question we want to ask is “Does Blockchain have a role to play in Information Management? Does it have a role beyond cryptocurrencies?”
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Artificial Intelligence (AI) | machine learning
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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