"AI was everywhere, but I wasn't focused on product launches. I was looking at how companies think about data itself: how it's shared, governed and ultimately turned into decisions. And across conversations with executives and sessions on security and compliance, a pattern emerged: the technical limitations that once justified locking data down have largely been solved. What remains difficult is human. Alignment, trust and confidence inside organizations are now the true barriers."
"For decades, data was narrowly defined: transactional records, CRM entries, ERP metrics and the digital signals of clicks, purchases or usage. Everything else - emails, Slack messages, survey feedback, customer reviews, social signals, operational workflows - was considered noise or outside the data conversation. Sharing across teams was slow and risky. Locking information away became the default. That mindset is no longer sufficient. AI now makes it possible to extract value from almost any signal."
Technical infrastructure, security, compliance and governance tools now enable safe information sharing without freezing decisions. AI broadens what counts as data by extracting value from internal communications, operational workflows, customer feedback and social signals. Organizations that remain siloed or default to locking information away lose competitive advantage. The primary obstacles to data-driven decision-making are cultural: lack of alignment, trust and confidence among teams. Executives continue to face resistance to sharing and using diverse signals despite available tools. Changing mindset toward data sharing and governance is necessary to unlock the full potential of data and AI.
Read at Entrepreneur
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