{"id":558550,"date":"2026-11-03T13:22:32","date_gmt":"2026-11-03T13:22:32","guid":{"rendered":"https:\/\/www.newjerseyheadlines.com\/news\/story\/558550\/ai-isnt-failing-the-enterprise-its-intelligence-is.html"},"modified":"2026-11-03T13:22:32","modified_gmt":"2026-11-03T13:22:32","slug":"ai-isnt-failing-the-enterprise-its-intelligence-is","status":"publish","type":"post","link":"http:\/\/www.northcarolinaheadlines.com\/news\/story\/558550\/ai-isnt-failing-the-enterprise-its-intelligence-is.html","title":{"rendered":"AI Isn\u2019t Failing the Enterprise. Its Intelligence Is."},"content":{"rendered":"
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Rebooting Intelligence for AI Era: A Playbook for Leaders to Turn Data, AI & Human Judgment into Enterprise Advantage by Sreenivasan Narayanan (Author), Dawn C. Simmons (Author)<\/div>\n<\/div>\n<\/div>\n

DALLAS, Texas – November 3, 2026 – <\/strong>New book by Sreeni and Dawn gives leaders TADA™, the Enterprise Intelligence Playbook, to turn data, AI and human judgment into decisions that can be trusted, owned and measured.<\/p>\n

Enterprises have never invested more in intelligence, and they have never been less sure it makes them wiser. Billions are flowing into models, platforms, copilots and agents. Yet returns stay uncertain, accountability is scattered, and trust is fragile.<\/p>\n

In Rebooting Intelligence for AI Era: A Playbook for Leaders to Turn Data, AI & Human Judgment into Enterprise Advantage<\/strong>, global technology leader Dr. Sreenivasan (Sreeni) Narayanan and transformation strategist Dawn C. Simmons argue that the problem is not the AI. It is the intelligence system the AI is plugged into.<\/p>\n

“AI doesn’t fix broken systems. It exposes them at speed and scale,”<\/strong> says Sreeni. “Every enterprise inspects the model. Almost none inspects the path the answer travelled.”<\/strong><\/p>\n

The book’s message is direct: data is not intelligence, pipelines are not neutral, and models are guessers, not governors. When no one owns a decision, flawed choices can now scale at machine speed. The answer is not more AI. It is an enterprise designed to make better decisions, and to keep getting better at them.<\/p>\n

The Future of Intelligence<\/strong><\/p>\n

Every era has been shaped by how it records reality, from the first marks on a cave wall to clay tablets, ledgers and the cloud. The book treats that history as a starting point, not a destination. Its real subject is what comes next: an era in which AI agents act, decide and learn inside the enterprise, and in which the quality of intelligence, not the volume of data, decides who leads.<\/p>\n

“Data was the rehearsal; decisions are the performance,” the authors write. Before that future can arrive, the book names what holds enterprises back: the ownership vacuum, where everyone touches the intelligence and no one signs for it; the talent myth; the cost trap; and the slow decay of trust. Together they form the Top 10 Enterprise AI Challenges, the diagnosis the rest of the book sets out to fix.<\/p>\n

The Reboot: TADA™, the Enterprise Intelligence Playbook<\/strong><\/p>\n

The answer is TADA™, the Enterprise Intelligence Playbook, built in three layers that carry an enterprise from principle to practice to scale:<\/p>\n