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AI Look Back and Predictions from Industry Leader

by Jon Seals | December 20, 2024 | | 0 comments

Jesse Todd, CEO of EncompaaS, offers up insights from the AI industry with a look back at 2024 and predictions for 2025.

EncompaaS utilizes advanced AI technologies to discover, enrich, and organize structured and unstructured enterprise data, creating a high-quality foundation that enhances AI initiatives and ensures compliance.

2024:

“Within the last year, the AI landscape has developed and evolved at a break-neck pace. We have seen AI move from theoretical to practical applications, and organisations have considered how AI can change their business. There was an evident change in attitude maturation about AI – people have realised why AI projects worked or didn’t, and it’s safe to say that no technology has ever had this many beta testers.”

“There has been a shift to greater focus on data quality and security, rather than just document generation, for example. As businesses have seen the trials and errors, along with the successes, of AI, we have seen a change in perception in some areas from one of fear to one of enthusiasm. Organisations now know what they need to do to successfully leverage AI and how to take advantage of these new capabilities accompanying it.”

“Organisations have realized that AI can be transformational and disruptive, but it requires work and proactive data preparation. As businesses have come to understand that AI works best with data that has been normalised and organised, the results of those that have proceeded have been incredible, and the unknowns about AI are becoming known.”

“Throughout the last year, we have seen AI tools become more and more available, sophisticated, and robust. This ultimately means that AI tools can be used to drive value for both organisations and their customers, which elevates the bottom line and increases productivity, cutting down on tedious work for employees while delivering unparalleled results for the clients depending on them. It’s exciting to see the use cases of AI boosting productivity and efficiency in businesses in real time and to think about what developments are yet to come.”

2025:

“The practical application of AI will begin to disrupt organisations’ business-critical processes, rather than operating as a more periphery process. In other words, AI will be implemented in central business operations, rather than only in certain projects. As successful AI use-cases arise, it will become more imperative to implement AI to move the needle internally toward better business outcomes.”

“I see AI becoming more and more entrenched in specific business use-cases, with specific applications to each sector. It seems that the novelty of using AI has worn off, and it has transitioned to being viewed as a core element of managing information.”

“In the next year, we will continue to see more AI services that can help members of organisations everywhere do their jobs more efficiently. As these services become available, businesses can leverage AI to manage their organisation’s data more precisely and allow them to ask more sophisticated questions of that data. Greater understanding of the data in business repositories leads to more productive questions that can be asked of that data, which then fuels upstream processes and yields strategic business decisions.”

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