AI: from experimentation to adoption

Sending
User Review
0 (0 votes)

AI implementation continues to increase

AI-adoption

AI adoption

AI adoption- There is no doubt that Artificial Intelligence (AI) has captured global imagination and attention. But in the business world, the rate of adoption of artificial intelligence has lagged behind the level of interest through 2019. Even though we hear that most business leaders believe AI provides a competitive advantage, up until recently, some industry watchers have pegged enterprise adoption at between 4% and 14%.

But as we enter 2020, we are seeing an uptick, not only in interest but in AI adoption. And that uptick is reflected in the results of a new survey commissioned by IBM in late 2019. From Roadblock to Scale: The Global Sprint Towards AI polled more than 4,500 technology decision makers – including over 500 from the UK. We wanted to gauge the current and future states of AI deployment to better understand the landscape and the challenges. As you’ll see, it’s about to change dramatically.

AI Adoption on the Rise

UK results from the survey indicate that while there is still work to be done, advances in data discovery and IT management, skills training and new innovations in AI explainability are driving the rate of AI adoption faster than many predicted.

Slightly over one in five (21%) of the UK audience surveyed report that their company has actively deployed AI as part of business operations, while nearly half (46%) say that their company is exploring but have not yet deployed AI. These numbers are significantly higher than some industry watchers have estimated to date. Some of the more telling data points from the UK survey include:

  • Skills. Major roadblocks are still holding companies back from the benefits of AI. Among respondents, 38% cite limited AI expertise or knowledge as a hindrance from successful AI adoption at their business, with increasing data complexities and siloed data (26%) and lack of tools for developing AI models (21%) following close behind.

Read More Here

Article Credit: TechRadar

Leave a Reply