\n<\/p>\n
Most companies don\u2019t have a data problem. They have a trust<\/a> problem.<\/p>\n At AWS re:Invent last December, one thing was impossible to ignore: the technical excuses for not using data are gone. The infrastructure is there. Security, compliance and governance tools now allow organizations to share information safely without freezing decision-making. The challenge isn\u2019t technology anymore \u2014 it\u2019s culture.<\/p>\n AI was everywhere, but I wasn\u2019t focused on product launches. I was looking at how companies think about data itself: how it\u2019s 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.<\/p>\n For decades, data was narrowly defined: transactional records, CRM entries, ERP metrics and the digital signals of clicks, purchases or usage. Everything else \u2014 emails, Slack messages, survey feedback, customer reviews, social signals, operational workflows \u2014 was considered noise or outside the data conversation. Sharing across teams was slow and risky. Locking information away became the default.<\/p>\n That mindset is no longer sufficient. AI now makes it possible to extract value from almost any signal. Internal communications, operational metrics and customer sentiment can all inform decisions. The scope of what counts as data has expanded dramatically. The posture a company takes toward sharing and using this information now determines its competitive edge.<\/p>\n Executives repeatedly report the same barrier: cultural friction, not technological gaps, prevents data-driven organizations. Teams hoard information. Departments compete for control. Leadership struggles to create alignment.<\/p>\n The organizations that thrive are the ones that:<\/p>\n Technology alone can\u2019t solve these issues. AI won\u2019t force people to cooperate. Governance frameworks won\u2019t create trust. Leaders must address the human side first.<\/p>\n You don\u2019t need a massive overhaul overnight, but you do need a shift in mindset and process:<\/p>\n Understand the value of your data.<\/b> Most organizations collect far more than they actively use. Sales, HR, operations, survey results, reviews, and digital signals all carry actionable insights. AI can help identify where value exists\u2014but only if you\u2019re paying attention.<\/p>\n<\/li>\n Recognize that the technology is ready.<\/b> You don\u2019t need to bet on a single vendor. Between AWS, Microsoft, Google and a growing ecosystem of specialized tools, secure and compliant data sharing is possible today. The barrier isn\u2019t capability \u2014 it\u2019s willingness.<\/p>\n<\/li>\n Focus on culture and mindset.<\/b> Set clear expectations that data sharing is required and rewarded. Clarify how information will be used and protected. Trust must be intentionally built and reinforced.<\/p>\n<\/li>\n Act now.<\/b> The shift toward AI-enabled, data-driven organizations is accelerating. Companies that engage early, establish best practices and shape how data is used will define their market. Those who wait will struggle to catch up.<\/p>\n<\/li>\n<\/ol>\n The technical barriers are gone. The companies that win will be those that solve the human problem first.<\/p>\n If you run a business, this is not just a technical challenge \u2014 it\u2019s a leadership<\/a> test. You don\u2019t need every dashboard connected or every system unified overnight. You do need clarity on what information matters, a culture that encourages sharing and processes that make it safe to collaborate.<\/p>\n The organizations that treat this as optional will fall behind. The ones that engage now will shape the rules, drive faster decisions, and create value from their data before anyone else even realizes it exists.<\/p>\n AI is ready. Infrastructure is ready. The human problem is what will separate winners from laggards.<\/p>\nWhy everything counts as data now<\/h2>\n
The human problem is bigger than the technical one<\/h2>\n
\n
How business leaders can act now<\/h2>\n
\n
A founder\u2019s takeaway<\/h2>\n