Could infrastructure demands be what's really holding AI back? (www.techradar.com)

Recent research by Confluent highlights a crucial insight into the challenges hindering AI advancement: legacy data systems are the primary roadblocks, rather than insufficient investment. While companies are actively seeking ways to utilize AI and committing substantial funds to it, a significant 72% of IT leaders report that poor real-time data infrastructure is stalling their scalability efforts. In addition, 66% cite data lineage uncertainty, and 65% point to fragmented data ownership as major obstacles. With only 32% of firms successfully deploying AI solutions, the disconnect between investment and effective implementation is evident. To address these issues, 80% of organizations are now focusing on leveraging enterprise data for AI-driven systems, with a particular emphasis on data streaming platforms that 88% of IT leaders see as crucial. This marks a shift in priorities, as enhancing foundational data frameworks is now perceived as more critical than the AI technologies themselves. Confluent’s Chief Product Officer, Shaun Clowes, underscores that existing infrastructures weren't designed for continuous intelligence, impacting businesses across all sectors. Companies that invest in both AI capabilities and robust data foundations are poised to make the most significant strides forward in the AI landscape.