CNN hires ex-NYPD official, intelligence expert John Miller

New York Police Department (NYPD) Deputy Commissioner for Intelligence and Counterterrorism John Miller with Rep. Carolyn Maloney, D-N.Y., speaks to reporters on Capitol Hill in Washington, Tuesday, Dec. 6, 2016. (AP)
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Updated 07 September 2022
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CNN hires ex-NYPD official, intelligence expert John Miller

  • Muslim Advocates, a group involved in a lawsuit that was settled in 2018, decried CNN’s decision to hire Miller as “a cruel joke”

NEW YORK: John Miller, who has held major jobs in both justice agencies and journalism, is joining CNN as chief law enforcement and intelligence analyst, the network said on Tuesday.
Miller has worked at both ABC News and CBS News during his career. He also worked at the FBI and most recently was the deputy commissioner of intelligence and counterterrorism for the New York Police Department.
As a journalist, he covered the Sept. 11, 2001 terrorist attacks and, prior to that while at ABC News, conducted an interview with Osama bin Laden. He co-authored the book, “The Cell: Inside the 9/11 Plot.”
“John will help deliver on CNN’s commitment to tackle complex issues while presenting audiences with independent, objective news and meaningful analysis across platforms,” said Chris Licht, CNN Worldwide CEO and chairman.
Miller started work Tuesday in the network’s New York bureau.
Miller drew criticism from civil rights advocates and elected officials, including Mayor Eric Adams, for testimony to the city council earlier this year about the NYPD’s post-9/11 spying on Muslims, a practice that The Associated Press revealed in a series of Pulitzer Prize-winning articles a decade ago. The NYPD disbanded the program in 2014 and settled lawsuits over its tactics, agreeing not to conduct surveillance based on religion, race or ethnicity.
Miller said that while “there is perception” that the NYPD sent people into mosques to spy on Muslims, “there is no evidence that that occurred.” He insisted the department acted in full compliance with a longtime legal agreement governing its intelligence-gathering efforts. The lawsuits were settled with no admission of wrongdoing, Miller said.
Muslim Advocates, a group involved in a lawsuit that was settled in 2018, decried CNN’s decision to hire Miller as “a cruel joke.”
“We have no faith that as chief law enforcement and intelligence analyst at CNN, Miller won’t continue to propagandize on behalf of law enforcement and dismiss clear discrimination against Muslims and other marginalized communities,” senior policy counsel Sumayyah Waheed said in a statement.
Since taking over earlier this year, Licht has tried to steer CNN in the direction of offering more news and less opinion. He’s attracted more attention lately for departures under his watch, like former “Reliable Sources” host Brian Stelter. Last Friday, CNN White House correspondent John Harwood announced that he was exiting.
Harwood had worked at The New York Times and Wall Street Journal as well as NBC News.

 


WEF report spotlights real-world AI adoption across industries

Updated 19 January 2026
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WEF report spotlights real-world AI adoption across industries

DUBAI: A new report by the World Economic Forum, released Monday, highlights companies across more than 30 countries and 20 industries that are using artificial intelligence to deliver real-world impact.

Developed in partnership with Accenture, “Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations” draws on insights from two cohorts of MINDS (Meaningful, Intelligent, Novel, Deployable Solutions), a WEF initiative focused on AI solutions that have moved beyond pilot phases to deliver measurable performance gains.

As part of its AI Global Alliance, the WEF launched the MINDS program in 2025, announcing its first cohort that year and a second cohort this week. Cohorts are selected through an evaluation process led by the WEF’s Impact Council — an independent group of experts — with applications open to public- and private-sector organizations across industries.

The report found a widening gap between organizations that have successfully scaled AI and those still struggling, while underscoring how this divide can be bridged through real-world case studies.

Based on these case studies and interviews with selected MINDS organizations, the report identified five key insights distinguishing successful AI adopters from others.

It found that leading organizations are moving away from isolated, tactical uses of AI and instead embedding it as a strategic, enterprise-wide capability.

The second insight centers on people, with AI increasingly designed to complement human expertise through closer collaboration, rather than replace it.

The other insights focus on the systems needed to scale AI effectively, including strengthening data foundations and strategic data sources, as well as moving away from fragmented technologies toward unified AI platforms.

Lastly, the report underscores the need for responsible AI, with organizations strengthening governance, safeguards and human oversight as automated decision-making becomes more widespread.

Stephan Mergenthaler, managing director and chief technology officer at the WEF, said: “AI offers extraordinary potential, yet many organizations remain unsure about how to realize it.

“The selected use cases show what is possible when ambition is translated into operational transformation and our new report provides a practical guide to help others follow the path these leaders have set.”

Among the examples cited in the report is a pilot led by the Saudi Ministry of Health in partnership with AmplifAI, which used AI-enabled thermal imaging to support early detection of diabetic foot conditions.

The initiative reduced clinician time by up to 90 percent, cut treatment costs by as much as 80 percent, and delivered a 10 time increase in screening capacity. Following clinical trials, the solution has been approved by regulatory authorities in Saudi Arabia, the UAE and Bahrain.

The report also points to work by Fujitsu, which deployed AI across its supply chain to improve inventory management. The rollout helped cut inventory-related costs by $15 million, reduce excess stock by $20 million and halve operational headcount.

In India, Tech Mahindra scaled multilingual large language models capable of handling 3.8 million monthly queries with 92 percent accuracy, enabling more inclusive access to digital services across markets in the Global South.

“Trusted, advanced AI can transform businesses, but it requires organizing data and processes to achieve the best of technology and — this is key — it also requires human ingenuity to maximize returns on AI investments,” said Manish Sharma, chief strategy and services officer at Accenture.