Regardless of corporations eager to implement AI and reap the advantages of it, a majority don’t have the underlying foundations in place to make it work properly.
In line with CData’s newest report, The State of AI Information 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.
100% 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 completely different knowledge sources. Moreover, AI-native software program suppliers want 3 times extra exterior integrations than conventional software program corporations.
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. Right now, AI is constrained by knowledge,” stated Amit Sharma, CEO and co-founder of CData. “The organizations profitable with AI aren’t those with the very best algorithms; they’re those with related, contextual, and semantically constant knowledge infrastructure.”
CData surveyed over 200 knowledge and AI leaders at software program corporations for its report. The total report will be downloaded right here.
