New Survey from Collibra by The Harris Poll Reveals Top Concerns for Tech Decision Makers
Data Privacy and ROI on Data Privacy and AI Initiatives Cited as Key Challenges
NEW YORK and BRUSSELS, April 30, 2025 /PRNewswire/ -- Collibra, the leader in unified governance for data and AI, today announced the results of a new Harris Poll survey of more than 300 U.S. adults ages 21+ who are employed full-time as data management, privacy and/or AI decision makers at their current companies ("decision-makers" throughout), and found that 86% of respondents cite protecting data privacy as a top concern with 76% of respondents citing ROI on data privacy and AI initiatives across their organization. Notably, eight in 10 decision makers also said that data ownership has changed over the last year with the emergence of AI [85%].
"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.
Our 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.
On a positive note, the new survey also found that nearly nine in 10 decision-makers say that they have a lot or a great deal of trust in their own companies' approach [88%] 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."
For more information and resources on Collibra's product offerings, please visit collibra.com.
Survey MethodologyThis survey was conducted online within the United States by The Harris Poll on behalf of Collibra from February 24-28, 2025, among 303 U.S. adults aged 21+ who are employed full-time, as data management, privacy, and/or Artificial Intelligence (AI) decision-makers (director level or higher) at their current company. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the full sample data is accurate to within +/- 5.7 percentage points using a 95% confidence level. For complete survey methodology, including weighting variables and subgroup sample sizes, please contact pr@collibra.com.
About CollibraCollibra frees your data from the constraints of silos by unifying data and AI governance across your entire ecosystem, regardless of source or compute engine, for ultimate flexibility in how you manage data. Our Collibra Platform gives you automated visibility, control and tracing from input through output, and it automates documentation and data traceability for AI use cases to power speed, data observability and safety. Our semantic graph enriches data context with every use, and our intuitive UX brings technical and business users into the fold to access and steward data. Accelerate and strengthen every data and AI use case when everyone in your organization can trust, comply and consume. To learn more, visit collibra.com and follow us on LinkedIn, X, Facebook and Instagram.
View original content to download multimedia:https://www.prnewswire.com/news-releases/new-survey-from-collibra-by-the-harris-poll-reveals-top-concerns-for-tech-decision-makers-302440244.html
SOURCE Collibra
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
42 minutes ago
- Yahoo
Prediction: This Hot Artificial Intelligence (AI) Semiconductor Stock Will Skyrocket After June 25
Micron Technology stock has been in red-hot form on the stock market over the past couple of months, and its upcoming quarterly report on June 25 could give it another boost. Micron is on track to deliver outstanding growth in its revenue and earnings, driven by the terrific demand for the company's high-bandwidth memory chips. The stock's attractive valuation makes it a no-brainer buy going into its earnings report. 10 stocks we like better than Micron Technology › Micron Technology (NASDAQ: MU) stock has made a sharp move higher over the past couple of months -- gaining an impressive 37% as of this writing -- driven by the broader recovery in technology stocks. And it won't be surprising to see this semiconductor stock getting a big shot in the arm when it releases its fiscal 2025 third-quarter results after the market closes on June 25. Micron is heading into its quarterly report with a major catalyst in the form of artificial intelligence (AI) on its side, which could allow the company to deliver better-than-expected numbers and guidance and send its stock even higher. Let's look at the reasons why that may be the case. Micron's fiscal Q3 guidance calls for $8.8 billion in revenue at the midpoint of its guidance range. That would be a massive increase over the year-ago period's revenue of $6.8 billion. Meanwhile, the company's adjusted earnings are forecast to jump by just over 2.5 times on a year-over-year basis. Investors, however, shouldn't forget that the booming demand for high-bandwidth memory (HBM) that goes into AI graphics processing units (GPUs) manufactured by the likes of Nvidia and AMD could allow Micron to exceed its guidance. Micron's HBM has been selected for powering Nvidia's GB200 and GB300 Blackwell systems, and the good news is that the latter reported solid numbers recently. Nvidia's data center revenue shot up 73% year over year to $39 billion in the first quarter of fiscal 2026, with the Blackwell AI GPUs accounting for 70% of the segment's revenue. Nvidia pointed out that it has almost completed its transition from the previous-generation Hopper platform to GPUs based on the latest Blackwell architecture. What's worth noting here is that the company's Blackwell GPUs are equipped with larger HBM chips to enable higher bandwidth and data transmission. Specifically, Nvidia's Hopper H200 GPU was equipped with 141 gigabytes (GB) of HBM. That has been upgraded to 192 GB on Nvidia's B200 Blackwell processor, while the more powerful B300 packs a whopping 288 GB of HBM3e memory. Micron management remarked on the company's March earnings conference call that it started volume shipments of HBM3e memory to its third large customer, suggesting that it could indeed be supplying memory chips for Nvidia's latest generation processors. Importantly, the terrific demand for HBM has created a favorable pricing scenario for the likes of Micron. The company is reportedly looking to hike the price of its HBM chips by 11% this year. It has sold out its entire HBM capacity for 2025 and is negotiating contracts for next year, and it won't be surprising to see customers paying more for HBM considering its scarcity. This combination of higher HBM volumes and the potential increase in price explains why Micron's top and bottom lines are set to witness remarkable growth when it releases its earnings later this month. Additionally, even more chipmakers are set to integrate HBM into their AI accelerators. Broadcom and Marvell Technology, which are known for designing custom AI processors for major cloud computing companies, have recently developed architectures supporting the integration of HBM into their platforms. So, Marvell's addressable market is likely to get bigger thanks to AI, setting the stage for a potential acceleration in the company's growth. Micron stock has rallied impressively in the past couple of months. The good part is that the company is still trading at just 23 times earnings despite this surge. The forward earnings multiple of 9 is even more attractive, indicating that Micron's earnings growth is set to take off. Consensus estimates are projecting a whopping 437% increase in Micron's earnings this year, followed by another solid jump of 57% in the next fiscal year. All this indicates why the stock's median 12-month price target of $130 points toward a 27% jump from current levels. However, this AI stock could do much better than that on account of the phenomenal earnings growth that it is projected to clock, which is why investors can consider buying it hand over fist before its June 25 report that could supercharge its recent rally. Before you buy stock in Micron Technology, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Micron Technology wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $669,517!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $868,615!* Now, it's worth noting Stock Advisor's total average return is 792% — a market-crushing outperformance compared to 171% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 2, 2025 Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices and Nvidia. The Motley Fool recommends Broadcom and Marvell Technology. The Motley Fool has a disclosure policy. Prediction: This Hot Artificial Intelligence (AI) Semiconductor Stock Will Skyrocket After June 25 was originally published by The Motley Fool
Yahoo
an hour ago
- Yahoo
Billionaire Stanley Druckenmiller Has Unloaded Shares of Last Year's 2 Top Performing AI Stocks and Is Piling Into a Growth Stock That Has Climbed 150% in 3 Years
Druckenmiller has a stunning investment track record, regularly delivering double-digit percentage annual returns with no money-losing years. In recent times, the billionaire has benefited from investments in some of today's top growth stocks. 10 stocks we like better than Eli Lilly › You don't have to be a billionaire to invest like one -- and reap the rewards. Any of us can look at the moves made by the world's most successful investors and follow those that also fit into our investment strategy. Billionaire fund managers have proven their strengths as investors over time, making them excellent guides for novices on the wealth-building path. With that in mind, let's consider the recent moves made by Stanley Druckenmiller, founder of the Duquesne Family Office. Over the past few quarters, he closed his position in last year's two top-performing S&P 500 and Dow Jones Industrial Average artificial intelligence (AI) stocks, and just recently, he increased his position in a growth stock that has soared by 150% over the past three years. Could taking those cues be a smart move for you? So, first, a bit about why Druckenmiller is a billionaire worth watching and potentially following. He founded Duquesne Capital Management in the early 1980s and ran the fund for 30 years. Over that time period, he delivered a truly remarkable annualized average return of 30% -- and importantly, never had a money-losing year. Since then, he has shifted his focus to his family office, where he invests in stocks across industries and oversees $3 billion in securities. Now, let's consider his recent moves, starting with a major one. In the third quarter, Druckenmiller closed out his position in AI chip market leader Nvidia (NASDAQ: NVDA), a company that climbed a bit further from there, becoming the Dow Jones Industrial Average component that delivered the biggest annual gain of 2024. The investor originally bought Nvidia shares in the fourth quarter of 2022, and from the end of that quarter through the end of last year's third quarter, they climbed by more than 700%. So this clearly was a winning investment for Druckenmiller, though in a Bloomberg interview, he expressed regret about the timing of the sale, and said he would consider buying Nvidia stock again at the right price. Druckenmiller's second big sale came in the first quarter of this year: He closed out his position in Palantir Technologies (NASDAQ: PLTR), a stock he bought a year earlier. Last year, the AI software company generated the biggest gain in the S&P 500, climbing by 340%. Meanwhile, Druckenmiller increased his position in another growth stock: pharma giant Eli Lilly (NYSE: LLY), which in recent quarters has delivered double-digit percentage revenue gains. That growth came largely thanks to its position in a high-growth market with solid long-term potential: weight loss drugs. Druckenmiller increased his Lilly holding by 52% in the first quarter and now owns 94,830 shares worth about $73 million as of the close of trading Friday. Lilly represents nearly 2.6% of the billionaire's portfolio, up from about 1.3% in the previous quarter. He initially bought the stock in 2024's fourth quarter, so he clearly is building a position in it, and sees opportunity for growth ahead. Lilly sells a wide variety of medicines, but investors have focused on its GLP-1 agonist tirzepatide in recent quarters -- and for good reason. Tirzepatide is sold under the name Mounjaro for type 2 diabetes and Zepbound for weight loss, and both drugs are generating blockbuster revenues. Doctors have prescribed either one for weight loss, and demand has been so high that last year, both were on the Food and Drug Administration's shortage list. These drugs should continue to generate sales growth due to ongoing high demand; analysts at Goldman Sachs forecast that the weight loss drug market will be about $95 billion annually by 2030. One more element may supercharge Lilly's growth in this market. Mounjaro, Zepbound, and the competing GLP-1 drugs on the market today all must be administered via injection, but Lilly has been developing a new weight loss candidate in pill form. Phase 3 trials have produced strong data for the pill, dubbed orforglipron, and Lilly says it will apply for regulatory review in the weight loss indication by the end of this year. The convenience of a weight loss pill that is as effective as the injectables could help orforglipron (and Lilly) take a leading share of the market in the years to come. So the drugmaker's growth may be far from over. Should you follow Druckenmiller's lead, exit Nvidia and Palantir (if you own them), and get in on Lilly shares? All three of these companies are leaders in exciting growth markets and could gain over the long term, so your decisions should depend on your investment strategy. If you're a cautious investor and like passive income, Eli Lilly is a great choice to own because, while it does offer share price growth potential, it also offers the safety and steady dividends of an established pharma player. If you're an aggressive investor, though, you may want to favor the AI story and continue along with Nvidia and/or Palantir over the long term. Before you buy stock in Eli Lilly, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Eli Lilly wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $669,517!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $868,615!* Now, it's worth noting Stock Advisor's total average return is 792% — a market-crushing outperformance compared to 171% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 2, 2025 Adria Cimino has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia and Palantir Technologies. The Motley Fool has a disclosure policy. Billionaire Stanley Druckenmiller Has Unloaded Shares of Last Year's 2 Top Performing AI Stocks and Is Piling Into a Growth Stock That Has Climbed 150% in 3 Years was originally published by The Motley Fool
Yahoo
an hour ago
- Yahoo
Lawyers could face ‘severe' penalties for fake AI-generated citations, UK court warns
The High Court of England and Wales says lawyers need to take stronger steps to prevent the misuse of artificial intelligence in their work. In a ruling tying together two recent cases, Judge Victoria Sharp wrote that generative AI tools like ChatGPT 'are not capable of conducting reliable legal research." 'Such tools can produce apparently coherent and plausible responses to prompts, but those coherent and plausible responses may turn out to be entirely incorrect,' Judge Sharp wrote. 'The responses may make confident assertions that are simply untrue.' That doesn't mean lawyers cannot use AI in their research, but she said they have a professional duty 'to check the accuracy of such research by reference to authoritative sources, before using it in the course of their professional work.' Judge Sharp suggested that the growing number of cases where lawyers (including, on the U.S. side, lawyers representing major AI platforms) have cited what appear to be AI-generated falsehoods suggests that 'more needs to be done to ensure that the guidance is followed and lawyers comply with their duties to the court,' and she said her ruling will be forwarded to professional bodies including the Bar Council and the Law Society. In one of the cases in question, a lawyer representing a man seeking damages against two banks submitted a filing with 45 citations — 18 of those cases did not exist, while many others 'did not contain the quotations that were attributed to them, did not support the propositions for which they were cited, and did not have any relevance to the subject matter of the application,' Judge Sharp said. In the other, a lawyer representing a man who had been evicted from his London home wrote a court filing citing five cases that did not appear to exist. (The lawyer denied using AI, though she said the citations may have come from AI-generated summaries that appeared in 'Google or Safari.') Judge Sharp said that while the court decided not to initiate contempt proceedings, that is 'not a precedent.' 'Lawyers who do not comply with their professional obligations in this respect risk severe sanction,' she added. Both lawyers were either referred or referred themselves to professional regulators. Judge Sharp noted that when lawyers do not meet their duties to the court, the court's powers range from 'public admonition' to the imposition of costs, contempt proceedings, or even 'referral to the police.' This article originally appeared on TechCrunch at Sign in to access your portfolio
