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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Keeping Your Business Stable When Going Through an IT Disaster

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

How Engineers Can Use AIOps to Innovate Their Infrastructure

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

MEAN TIME TO INSIGHT Podcast - Episode 19: The AWS Outage

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Cloud Migration Delays Are Putting Businesses at Risk

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

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On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

The Two-Way Relationship Between AI and Observability

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Unrelenting IT Issues Cost Millions of Hours in Lost Productivity

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