
The phrase "AI is the Trend but not Technology" seems to emphasize the difference between the hype and reality of AI. It suggests that while AI is a prominent trend and widely discussed, the actual technological substance and practical applications may not always live up to the inflated expectations set by the trend.
Artificial Intelligence is currently a hot topic in many industries. It's a trend in the sense that it is widely discussed, highly marketed, and often seen as a must-have for businesses looking to stay competitive.
While AI is undoubtedly a powerful technology, the phrase might suggest that the hype around AI often overshadows the actual technological advancements and practical applications. In other words, AI is seen as more of a trend or buzzword rather than a solid, standalone technology.
The reality is that AI, as a technology, has limitations. Current AI systems are often narrowly focused, requiring large amounts of data and computational power, and they lack general intelligence or common sense. The phrase could be highlighting the disparity between the trend (hype) and the actual technological capabilities.
A recent study on AI adoption, plans and priorities indicates that organizations’ top three priorities for AI include:
# Creating a long-term AI strategy and roadmap
# Developing AI use cases that build new revenue streams and
# Developing AI that improves customer experience.
To date, performance has been inconsistent across these priorities.
Enterprises feel they are performing well on developing roadmaps, middling on customer experience and poorly on developing revenue-generating use cases.
On the positive side, AI is still a technology that businesses need help enabling and operating, and service providers have the experience to drive technology adoption, transformation and efficient operations.
On the negative side for providers is the novelty of the technology and enterprises’ explicit focus on revenue when it comes to AI. This puts IT service providers in the difficult position of having to help their clients not only operate their technology, but also operate their businesses.
Enterprises are eager to adopt AI at scale, and service providers are eager to bring AI into their solutioning process, but for most service providers and client relationships, it appears some value is being left on the table. The current round of AI adoption stands out because it fundamentally reshapes the way businesses integrate technology into their operations.
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