As Alan Pelz-Sharpe, founder and principal analyst at Deep Analysis told TechCrunch at the time of the acquisition announcement, Verizon got a good deal here.
“The efficacy of AI often depends on strong processing capabilities,” said Alan Pelz-Sharpe, founder of market advisory and research firm Deep Analysis. “So, at one level Intel is invested heavily in supporting existing approaches to AI.”
Fast-forward 20 years, and much of the exuberance has long gone. But thankfully, it’s not all gloom and doom. There is light at the end of the tunnel. I don’t think I have experienced a time of so much opportunity for change, and I can say that there has never been a better time to be a part of the knowledge and information management sector.
“There is no doubt that a lot of content, if not the majority, can be processed and filtered automatically through the use of machine learning and AI,” Pelz-Sharpe said. “However, it is naive to think that it can all be curated automatically.”
“Enterprises deploying RPA hit the same barriers, Pelz-Sharpe said. “The RPA system itself may be designed to be super-fast, but the RPA system has to access, pull and update fields and data in other systems; that is its purpose.”
“The actual efficiency of the RPA is dependent on the typically legacy systems it connects to,” he added.
Alan Pelz-Sharpe, fondateur de Deep Analysis, a ajouté : « À l’heure où de plus en plus d’organisations s’adaptent à la réalité du travail à distance, la visualisation sécurisée de contenu confidentiel et sensible est une préoccupation de premier plan.
“They’ve really taken migration seriously this time, recognizing that if they don’t, people aren’t going to do it,” Pelz-Sharpe said about Acquia. “That’s been the challenge in the past.”
The hope has to be that out of this pandemic, some lessons will be learned, Pelz-Sharpe said. Organizations need to stop focusing on sexy technology projects, and start focusing on critical technology projects
Specialist services, like the ones offered by Miner & Kasch, are almost always needed to implement and design effective AI applications, Pelz-Sharpe said.
“Interest in AI was huge a few years ago, but practical experience has shown that though the technology is advanced, customers have very specific needs to address and implementation is often far from straightforward,” he said. “Outside of niche applications such as document capture and autoclassification, AI is seldom ‘out of the box’ because it involves a lot of data training and modification to meet the customers’ requirements.”