Research by SambaNova shows that enterprise business leaders in the UK are eager to adopt AI models and algorithms.
This is with 54 percent of business leaders cite AI’s future impact as ‘transformational’ or a significant improvement over the next 12-24 months, with only 19 percent saying it will have no impact at all.
However, 80 percent of business leaders report it is a challenge to keep up with the speed of model and data growth.
What are the main challenges in deploying AI?
The top challenges in deploying enterprise AI include:
- Finding or customising models and algorithms – 67%
- Setting up infrastructure – 43%
- Preparing data – 38%
AI’s implementation challenges
Talent has also become the limiting factor when implementing AI.
Even though 59 percent of IT managers report having the budget to hire additional resources, 82 percent claimed that hiring these skilled staff members is challenging.
It was also reported that 80 percent are struggling to keep up with the pace of innovation.
The issue is worsened by high staff turnover – with 53 percent reporting that retention is difficult.
For enterprise technology leaders, finding skilled staff across all technology disciplines is difficult. However, the challenge is particularly acute in the specialist field of AI.
“You’d be hard-pressed to find an area of technology that is being developed more intensely than AI, especially around large language models such as GPT,” said Chris Kenny, General Manager, EMEA at SambaNova. “The opportunity these models deliver is there for the taking, although technology teams often don’t have the resources or expertise to take advantage of the opportunity.”
“For enterprises struggling to deliver on business leaders’ demands, deploying AI as a service is a fast track, a scalable way to avoid falling behind their competitors,” continued Kenny. “AI is already here at most organisations.”
Amelia Brand is the Editor for HRreview, and host of the HR in Review podcast series. With a Master’s degree in Legal and Political Theory, her particular interests within HR include employment law, DE&I, and wellbeing within the workplace. Prior to working with HRreview, Amelia was Sub-Editor of a magazine, and Editor of the Environmental Justice Project at University College London, writing and overseeing articles into UCL’s weekly newsletter. Her previous academic work has focused on philosophy, politics and law, with a special focus on how artificial intelligence will feature in the future.
