The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
Digital Transformation | Intelligent Information Management (IIM)
#1 -- Know where the puck is going. Danielle Galmore, Steelcase: “Technology moves faster than companies, as a rule. Be cognizant of what is happening and ready to adjust if new technology or new needs arise. Your first project may have to pivot if too much time has elapsed, and relevancy is lowered.”
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Digital Transformation | Intelligent Information Management (IIM)
Consider the following: “The speed of current breakthroughs has no historical precedent.” --Klaus Schwab, World Economic Forum, 2016 “For the first time in history, the world’s leading experts on accelerating technology are consistently finding themselves too conservative in their predictions…” --Steven Kotler “Uber, the world’s largest taxi company, owns no vehicles. Facebook, the world’s most popular media owner, creates no content. Alibaba, the most valuable retailer, has no inventory. And Airbnb, the world’s largest accommodation provider, owns no real estate. Something interesting is happening.” --Tom Goodwin, Havas Media, in Techcruch What the heck is going on, and what does it have to do with Information Professionals?
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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.
Content Analytics has hit the industry in a big way. According to our research, over 75% of enterprises say that there is real value to be gained from content analytics -- in business insight and risk mitigation. This new technology is rightly taking its place amongst the corporate toolset, but that same research study shows mixed progress for implementation. Business insight (or big data / big content) projects are still in something of an early-adopter phase. However, interest and adoption for recognition and routing of inbound content, automated classification of records and email, metadata addition and correction is rising. To help clear up the confusion and fear of implementation, let's look at the tip implementation tips for Content Analytics.
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As with any relatively new software application like Content Analytics, interest tends to be high, while progress is mixed. AIIM's independent research study on the topic garnered some interesting responses. Consider the following stats from the study (Content Analytics: Automating Processes and Extracting Knowledge): A quarter of our respondents feel that they are stuck in a world of paper processes. 37% either have no one tasked to investigate, no mandate from above, or no budget to proceed (or a combination of these) For 23%, a start has been made, but progress is slow, or of mixed success. 11% are underway and encouraged by the results. 4% are already showing a return on their investment What's leading to these mixed results? This same research helped us identify 5 common barriers to user adoption of content analytics. Let's take a look at each of these in greater detail. Definitions of what content analytics actually is are poorly understood and inconsistent. There is still too much focus on technology and not enough on business value; who truly are the buyers, influencers, and key stakeholders, and how are they different from those of yesteryear? The pace of technology change is accelerating and running ahead of the ability of organizations to consume it. We lack specific use cases. There is a splintering of data and data responsibility in the enterprise.
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Like many of you, I’ve been wondering what on earth has happened to the way we talk to and about each other. Watching the political fray, especially over the past few weeks, I can’t help but think back to my days at AEA running their policy programs in the late 80s and early 90s. Granted, at the time, technology was the golden boy of the lobbying circuit. But even with that, there was a certain respect that existed between people of opposing views, and a willingness to work together with people of widely varying viewpoints. The final outcome wasn’t always pretty (it hardly ever was) and it wasn’t ever the chosen one for each and every participant in the process, but was the optimal outcome for the group. There were certain things you did and didn’t do during the process. And there was a sense that while progress was slow, there was progress being made.
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Deriving meaning and insight from the different forms of content held and managed within most organizations is fast becoming one of the number one challenges and priorities for many in business. AIIM’s June 2015 Industry Watch Content Analytics: automating processes and extracting knowledge, revealed that six in ten enterprises believe that content analytics will be essential within five years’ time:
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