Regardless of firms desirous to implement AI and reap the advantages of it, a majority don’t have the underlying foundations in place to make it work properly.
Based on CData’s newest report, The State of AI Knowledge Connectivity: 2026 Outlook, there’s a clear hyperlink between knowledge infrastructure maturity and AI maturity.
The report discovered that 60% of the businesses who’ve achieved AI maturity had invested in superior knowledge infrastructure, comparable to centralized, semantically constant integration layers.
A hundred percent of respondents agree that entry to real-time knowledge is critical for AI brokers, however 20% nonetheless lack real-time integration capabilities.
Additional, 46% of the organizations surveyed say {that a} single AI use case requires entry to at the very least six totally different knowledge sources. Moreover, AI-native software program suppliers want 3 times extra exterior integrations than conventional software program firms.
Lastly, 71% of AI groups are spending at the very least 1 / 4 of their time on “knowledge plumbing” reasonably than innovation.
“The period of AI being constrained by fashions is over. In the present day, AI is constrained by knowledge,” mentioned Amit Sharma, CEO and co-founder of CData. “The organizations successful with AI aren’t those with the perfect algorithms; they’re those with linked, contextual, and semantically constant knowledge infrastructure.”
CData surveyed over 200 knowledge and AI leaders at software program firms for its report. The total report will be downloaded right here.
