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
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 of 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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Accounting and Finance | Automation
AP Automation is an obtainable goal in this century, in this decade, this year! In fact, companies like Pepsi are already doing it. How may you ask? If you can relate to this stat from recent AIIM research where 52% of respondents say their invoice processes take at least three days – some up to as many as 25 days – when using manual solutions for invoice data entry, validation, and approval using paper, you are a prime candidate. So, where to start?
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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.
AIIM believes that information is the currency that fuels an organization. As such, it is an organization’s most important asset. But at the very time that information assets are increasingly important, our ability to manage them is eroding. This is due to the exploding volumes, variety, complexity, and velocity of information coming into our organizations. Addressing “Big Content” and the rising tides of information chaos is a prerequisite to solving the Digital Transformation puzzle.
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Intelligent Information Management (IIM)
Organizations need to think about how the advent of the third wave of exponential change – the drive to Artificial Intelligence and Machine Learning - will require them to look at the future through a different set of lenses. I’d like to offer three of these “lenses” – I’m sure there are more – but I think these three are ones that those in this community are uniquely prepared to tackle.
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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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Artificial Intelligence (AI) | Automation
Automation in the workplace is already well underway. The McKinsey Global Institute estimates that up to 50% of workplace tasks could be fully automated by 2055, if not before. For employees, this can be a daunting concept, as increased automation in professional settings could lead to job loss on a mass scale.
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