Top Concerns for Tech Decision Makers

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra.

Notably, eight in 10 decision makers (85%) also said that data ownership has changed over the last year with the emergence of AI.

"AI will continue to disrupt and reshape the future of work," said Collibra Stijn "Stan" Christiaens, co-founder and Chief Data Citizen at Collibra. "As organizations look to integrate AI more into the workplace, it is ever more critical to connect data owners with privacy and compliance teams to balance AI innovation with trust and ensure data privacy."

Despite concerns around data privacy and ROI, the survey indicates a strong overall momentum towards AI adoption, with 86% of organizations planning to proceed with their AI initiatives. However, this enthusiasm varies by company size. While nearly all large companies (96%) intend to forge ahead with their AI plans despite the evolving landscape, smaller (78%) and medium-sized (79%) organizations are exhibiting a more measured approach.

The survey also found that nine in 10 employees at larger organizations (1,000+) say their company encourages the use of AI in the workplace and provides the necessary tools to support their work. The same percentage also said that their company has issued an AI use policy or guidelines to their employees.

In addition, the survey found that nearly nine in 10 decision-makers (88%) say they have a lot or a great deal of trust in their own companies' approach to shaping the future of AI, with three quarters (75%) agreeing that their company prioritizes AI training and upskilling, with decision-makers at large companies (1000+ employees) more likely than those at small companies (1-99 employees) to agree (87% vs. 55%).

"As Al continues to be adopted across Corporate America, organizations need to centralize visibility of AI models and agents across AI platforms and ensure traceability between AI use cases and the data that feeds them," stated Christiaens. "By adopting an approach to AI governance that connects models, data, and policies, organizations can protect critical data while ensuring confidentiality measures."

Methodology: The Harris Poll surveyed more than 300 US adults ages 21+ who are employed full-time as data management, privacy and/or AI decision makers at their current companies.

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Top Concerns for Tech Decision Makers

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra.

Notably, eight in 10 decision makers (85%) also said that data ownership has changed over the last year with the emergence of AI.

"AI will continue to disrupt and reshape the future of work," said Collibra Stijn "Stan" Christiaens, co-founder and Chief Data Citizen at Collibra. "As organizations look to integrate AI more into the workplace, it is ever more critical to connect data owners with privacy and compliance teams to balance AI innovation with trust and ensure data privacy."

Despite concerns around data privacy and ROI, the survey indicates a strong overall momentum towards AI adoption, with 86% of organizations planning to proceed with their AI initiatives. However, this enthusiasm varies by company size. While nearly all large companies (96%) intend to forge ahead with their AI plans despite the evolving landscape, smaller (78%) and medium-sized (79%) organizations are exhibiting a more measured approach.

The survey also found that nine in 10 employees at larger organizations (1,000+) say their company encourages the use of AI in the workplace and provides the necessary tools to support their work. The same percentage also said that their company has issued an AI use policy or guidelines to their employees.

In addition, the survey found that nearly nine in 10 decision-makers (88%) say they have a lot or a great deal of trust in their own companies' approach to shaping the future of AI, with three quarters (75%) agreeing that their company prioritizes AI training and upskilling, with decision-makers at large companies (1000+ employees) more likely than those at small companies (1-99 employees) to agree (87% vs. 55%).

"As Al continues to be adopted across Corporate America, organizations need to centralize visibility of AI models and agents across AI platforms and ensure traceability between AI use cases and the data that feeds them," stated Christiaens. "By adopting an approach to AI governance that connects models, data, and policies, organizations can protect critical data while ensuring confidentiality measures."

Methodology: The Harris Poll surveyed more than 300 US adults ages 21+ who are employed full-time as data management, privacy and/or AI decision makers at their current companies.

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

Effective FinOps: Moving from Recommendations to Risks

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Rising IT Complexity Threatens Modernization - Survey Shows SysAdmins Under Pressure

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The Clock Is Ticking: How 47-Day Certificates and Quantum Threats Are Reshaping Cybersecurity

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Bridging the Visibility Gap: A Path to Smarter Telecom Infrastructure

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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