According to a recent study by Infosys, telecommunications providers are more likely to use artificial intelligence than companies in other industries and are looking to offer advanced AI-powered services. At the same time, however, telecom providers are more likely than companies in other industries to be frustrated with AI adoption. Players from other sectors.
Telecommunications companies “still struggle with fundamental problems, such as AI’s inability to clearly identify the problem to solve,” the report said. This means that we are not applying AI to the right business problem, which is probably the reason for the low satisfaction. ”
But the report goes on to say: “There is a glimmer of hope in the industry. Telcos are better than average in data validation, ethics and bias management, and use of deep learning. should better identify problems AI can address, focus on simpler AI solutions, and invest in AI infrastructure and computing resources.”
Infosys’ Data+AI Radar 2022 surveyed 2,500 AI practitioners in 12 major industries across the US, UK, Germany, France, Australia and New Zealand.
Research shows carriers have been using AI longer than most companies. The majority of respondents said they had introduced AI two to four years ago (2020 being his peak year for AI adoption), a higher proportion than in any other industry. However, these features are not particularly advanced at this time. His 57% of respondents said their company’s AI is in the basic stages of development. Infosys defines this as ‘sensing’ and ‘understanding’. This means AI can identify, detect and predict patterns. But it still requires human involvement. More advanced development includes the ability to understand information and respond autonomously, and the ability to train itself to respond and improve, a category that respondents say their AI can achieve today. Only 17% of telecom respondents did.
The study further concluded that the telecommunications industry has a “very high” maturity of AI and data use in enterprise business functions, although satisfaction with its use of AI and data is significantly higher than in other industries. conclude that it is low compared to Sectors such as finance, retail and hospitality. In particular, AI practitioners who participated in the survey reported low levels of satisfaction with AI tools used to suggest personalized recommendations and products.
The study compared the challenges reported by telco respondents to the duration of their AI adoption efforts. For example, data validation was the top concern among newcomers to communications AI, but the level of concern about this topic decreased the longer the communications respondent worked with her AI. However, the telco respondent with the longest time to deploy AI (5+ years) said the biggest challenge was “clearly identifying the problems AI should address,” he said, citing AI infrastructure and related resources. increase. Clearly identifying the problems AI should solve is a challenge in other industries as well, with 22% of telecom respondents and 19% of respondents in other industries citing it as their top challenge. But five years into AI deployment, the telecom industry’s concerns about infrastructure and resources are an outlier, and Infosys reports that other industries’ concerns have eased over time.
The telecom industry “may benefit from completing less complex deployments before opting for more complex deployments,” the report concludes. “This will allow us to invest in the right AI infrastructure and resources, which can lead to greater satisfaction with our deployment.”
For more information, see this report (pdf).
