AI to have ‘significant’ impact on content management – if implemented appropriately

Welcome to our July edition of Intelligent Content Innovation, where each month we’ll relay Hyland experts’ commentary in the media around trending topics in our industry.??

If you missed prior editions of Intelligent Content Innovation on Hyland customers’ innovation and its impact, and GenAI and upskilling, please click here .?

A recent Forrester study commissioned by Hyland provided key insight into the mindset of executives faced with how, when and where to implement artificial intelligence into their businesses.?

?From the study:??

?Six out of 10 executives believe that automation and artificial intelligence (AI) will have a “major” or “significant” impact on achieving their future content management goals, but only 30% of companies are taking advantage of AI-powered automation. The study shows that companies have recognized the importance of the new technology, but concrete steps are needed to use AI productively in business processes.??

Heinz Wietfeld, who lead’s Hyland’s rapidly growing presence in the DACH region (Germany, Austria, Switzerland), writes for IT Matchmakers that “the euphoria (for AI) is justified, especially in enterprise content management, because in this data- and content-intensive field, the new technology offers enormous potential for comprehensive process automation.?

“Nevertheless … it is important to carefully analyze and weigh up which form of AI or automation technology is best suited for which use cases. ‘It's all about the mix’ also applies to the tech stack, because a smart technology mix enables cost- and resource-efficient automation results with reliable performance.”? ?

His tips on finding that right mix:?

• Process analysis:?A thorough analysis of the existing content management processes is crucial for planning. The following questions, among others, must be clarified: Are the tasks to be automated repetitive? Is unstructured data involved? Does content need to be read, edited or created???
• Scalability:?A good AI technology mix should be flexible and scalable to adapt to extremely volatile requirements and to meet peaks in demand (e.g. in customer communication). Cloud solutions and content services offerings offer maximum flexibility and grow with your tasks.?
• Interoperability:?The various automation tools should be able to communicate seamlessly with each other and be seamlessly integrated to avoid data silos and process disruptions.??
• Ease of use:?Ease of use and an appealing user experience are crucial for the acceptance of new technologies and thus for the long-term success of automation.??
• Flexibility and agility:?Requirements for processes and technologies are changing faster than ever before due to economic, geopolitical, regulatory and technological developments.??

?For Heinz’s complete thoughts for IT Matchmakers, click here .?

Elsewhere from Hyland experts:?

Hyland CIO Steve Watt tells CIO that at Hyland – and, he recommends, for others – now is the time to get comfortable with AI.?

“We still have a lot of learning to do, but we’re trying to build a capabilities matrix that will help us navigate AI more in the future,” he says. “If it is not in your toolbox in the next five years, you’re going to be way behind the curve. This is the best time to learn it, start getting acclimated to it, because it’s not going away.”?

Tim Hood, Hyland’s Vice President for EMEA and APAC, details for FinTech Magazine how insurers can tackle modern digital challenges with the help of fintechs.

“Fintech firms are revolutionizing insurance by driving forward intelligent automation technologies such as intelligent document processing, workflow automation and robotic process automation (RPA).”?

These technologies streamline claims processes and enhance data management capabilities, leading to more accurate service delivery and improved operational efficiency.?

Hyland’s Eliane Faivre-Richard writes for Economie Matin in France that in healthcare, data bias and equity are crucial.??

In the healthcare sector, the emergence of new technologies is always a boon for medical professionals and a hope for many patients. However, to benefit from optimal technology (as fair as it is impartial), it is necessary to start by obtaining a diversified set of data.?

?