A new study by Insight Enterprises reveals that trust in artificial intelligence (AI) is increasing among organizations, with 57% of respondents stating that they feel ‘very confident’ in the reliability of this technology for their core business processes.
However, despite this growing confidence, the implementation of AI still presents significant challenges, as six out of ten organizations find themselves stuck in pilot or experimental phases.
Research indicates that only 24% of organizations have integrated AI into production with clearly defined use cases, while a notable 70% of companies in the UK have yet to move beyond small pilots.
Spending money on AI without knowing how to measure its results
The United Kingdom stands out in Europe, with 9% of organizations having fully integrated AI into their operations, the highest percentage in the region.
According to Santo Orlando, practice director at Insight, while the UK’s progress in AI adoption is encouraging, it is crucial for companies to move beyond pilot phases to harness its potential.
Organizations face several obstacles, including technological integration issues (36%), skill gaps in AI systems management (23%), cultural resistance (17%), and gaps in governance frameworks (14%).
The study also reveals a marked preference for cloud-based AI solutions; 52% of organizations lean towards this option, while 44% prefer on-premises solutions, often motivated by concerns about control, compliance, and performance.
To address these challenges and transform their strategies, companies must move beyond the testing phase and consider AI as an essential component on their path to innovation and operational efficiency.