No matter where you turn, it seems you can't help but run into discussion about Artificial Intelligence being the future of Intelligent Information Management. In fact, when we surveyed the AIIM Community about it and found that: 81% of organizations reported that Deep Learning and Machine Learning are key to their future technology and business planning.
There‘s a lot of excitement about Artificial Intelligence and business automation these days, and for good reason. Developments in AI — and its sidekicks “Deep Learning” and “Machine Learning” — bring the promise of transforming work as we know it. Those transformed work processes will operate in a completely different way: fully automated and autonomous, with smart machines doing the work. The vision is to free humans from performing mundane and repetitive business tasks and assist them with better access to better information to better serve customers and the business.
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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.
Digital transformation means reworking business processes to take maximum advantage of data and digital content. Better, faster, and cheaper content management is one goal, but the real payoff is in automating routine tasks including customer interactions. More data and process improvement will, in turn, allow us to do more with our content, to reach new audiences and boost satisfaction and profitability, however you measure it. To get there you need AI -- algorithms, models, and measurement -- and you need to trust that what you've built will do the job reliably and correctly.
Disruptive Technologies are changing existing landscapes Technology has had a profound impact on the business world. Simply walk into any business, no matter the size, and you will see the prolific adoption of technology. Digital project boards, virtual teams scattered across the globe; are all indicators of business reliance on this “fourth industrial revolution.” From industry data and anecdotal evidence, this tech utilization is on an exponential increase.
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.