Strong data catalogs transform the way teams think. They shift work from guesswork to clear action. What’s your take? #DataCatalogs #SingleSourceOfTruth #DataQuality #DataTrust #DataOps #DataStrategy #AIReadyData #DataFuture linkedin.com/pulse/building-…

Strong data catalogs transform the way teams think. They shift work from guesswork to clear action. What’s your take? #DataCatalogs #SingleSourceOfTruth #DataQuality #DataTrust #DataOps #DataStrategy #AIReadyData #DataFuture linkedin.com/pulse/building-…

Stronger privacy laws are reshaping consumer trust! As protections increase, consumers feel safer sharing data, leading to improved personalization and better experiences. It's a win-win for businesses and customers alike! #PrivacyMatters #DataTrust

Solo el 7% de las empresas está preparada para gestionar la IA a pesar del 88% que ya la usa o prueba. ¿Tu organización está en ese 7%? Lee más: wix.to/zZXKveW #IA #DataTrust #Gobernanza

Yapay zekâ çağında en kritik unsur artık algoritmalar değil, güvenilir veri. Veeam Türkiye Ülke Müdürü Kürşad Sezgin: "Yapay zekâyı neyle beslerseniz sonunda onu üretir." VeeamON Tour Türkiye 2026'dan öne çıkan açıklamalar btgunlugu.com/veeam-yapay-ze… #Veeam #AI #DataTrust

Congratulations to Data Trust, S.A. de C.V. on earning the Tier III Certification of Constructed Facility for their DataTrust Data Center 1, Phase 1 in El Salvador. This achievement reflects their commitment to building in full alignment with Tier standards. Well done!

If your teams don't trust the data, they won't trust the decisions. A strong data quality framework turns data into a business advantage. 👉 i.melissa.com/3RStSSy #dataquality #datagovernance #datatrust #businessintelligence #digitaltransformation #datadriven

If your teams don't trust the data, they won't trust the decisions. A strong data quality framework turns data into a business advantage. 👉 i.melissa.com/4vsARQu #dataquality #datagovernance #datatrust #businessintelligence #digitaltransformation #datadriven

𝗦𝗲𝗰𝘂𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮: 𝗗𝗮𝘁𝗮, 𝗧𝗿𝘂𝘀𝘁, 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗥𝗲𝗮𝗱𝘆 𝗖𝘆𝗯𝗲𝗿 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 | 𝗣𝗮𝗻𝗲𝗹 — 𝗧𝗲𝗰𝗵𝗖𝗼𝗻 𝗦𝗼𝗖𝗮𝗹 𝟮𝟬𝟮𝟲 As AI becomes embedded into enterprise systems, the security conversation is expanding. It is no longer only about protecting networks. It is about data integrity, compliance readiness, trust, governance, and preparing for the next generation of cyber risk. 𝗠𝗼𝗱𝗲𝗿𝗮𝘁𝗼𝗿: Domenic Perri, Partner and Co-Founder, Altitude Cyber 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: Bruno Kurtic, Co-Founder & CEO, Bedrock Data | Adam Markowitz, CEO, Drata | Jason Thomas, Director of Product Development, Quantum eMotion This session examined what it takes to build security programs that can keep pace with AI adoption while also preparing for quantum-era threats. The conversation brought together practical perspectives on compliance automation, data trust, risk management, and cyber resilience — all critical for companies building in high-stakes environments. The takeaway was clear: AI-ready companies must also be security-ready companies. 𝗥𝗲𝗹𝗶𝘃𝗲 𝗧𝗲𝗰𝗵𝗖𝗼𝗻 𝗦𝗼𝗖𝗮𝗹 𝟮𝟬𝟮𝟲 𝗠𝗼𝗺𝗲𝗻𝘁𝘀 → photos.techconglobal.com/Pub… #TechConSoCal #Cybersecurity #AI #DataTrust #Compliance #QuantumSecurity #CyberResilience #EnterpriseAI #TechConGlobal

China’s eCommerce opportunity is huge. But fragmented platforms and poor data can create costly blind spots. Clean, connected data is the competitive advantage. 👉 i.melissa.com/4upWNv2 #ecommerce #china #dataquality #datatrust #customerdata #digitalcommerce

China’s eCommerce opportunity is huge. But fragmented platforms and poor data can create costly blind spots. Clean, connected data is the competitive advantage. 👉 i.melissa.com/4odSHVd #ecommerce #china #dataquality #datatrust #customerdata #digitalcommerce

AI is only as trustworthy as the data behind it. That's why data governance is now a core IT responsibility. 👉 i.melissa.com/4fqQ8wI #datagovernance #ai #dataquality #datatrust #digitaltransformation #enterpriseai

AI is only as trustworthy as the data behind it. That's why data governance is now a core IT responsibility. 👉 i.melissa.com/4v2h2jl #datagovernance #ai #dataquality #datatrust #digitaltransformation #enterpriseai

Congratulations to Data Trust, S.A. de C.V. on earning the Tier III Certification of Constructed Facility for their DataTrust Data Center 1, Phase 1 in El Salvador. This achievement reflects their commitment to building in full alignment with Tier standards. Well done!

#VeeamON put cyber resilience, trusted data & AI readiness at front🛡️ theCUBE’s @dvellante & @krista_lee spoke with leaders from @Veeam @ExaGrid @ZKResearch and more on #ransomwarerecovery, #datatrust, #governance & protecting AI enterprise. 📺 Watch on demand: thecube.net/events/ #CyberResilience #AI #DataProtection #TechNews

I’m sure he’d make himself available in exchange for those lists of all the new voters you keep claiming to have registered but have never loaded into DataTrust. Otherwise, it’s voter fraud. Rhetorically speaking. #txlege

MESKI TIDAK BERGUNA GAJI @DPR_RI TERTINGGI KEDUA DI DUNIA Sebuah infografis dari Datatrust berjudul Too Rich to Represent, mengungkap data menohok tentang jurang finansial antara anggota parlemen dengan rakyat yang mereka wakili di berbagai belahan dunia. ~ini kayak utas 💐 Data tersebut membandingkan pendapatan tahunan para legislator dengan PDB per kapita negara masing-masing. Hasilnya memperlihatkan kontras tajam: di negara makmur seperti AS, Singapura, dan Norwegia, gaji parlemen mereka terhitung proporsional dan selaras dengan standar hidup masyarakat umum. 💐 Sebaliknya, grafik ini menempatkan Indonesia di posisi kedua tertinggi di dunia dalam hal ketimpangan. Gaji dan tunjangan anggota DPR kita tercatat mencapai 14,7x lipat dari rata-rata pendapatan per kapita nasional, hanya kalah satu tingkat di bawah Filipina. 💐 Ibaratnya nih, kondisi negara maju itu seperti Juventus atau Inter Milan. Pemain bintang / kapten digaji sangat tinggi, dibanding rata-rata pemain lain. 💐 tapi angka itu masuk akal, karena berbanding lurus dengan total revenue dan profitabilitas klub yang masif. Alias pendapatan tim cukup tinggi, karna stadion ramai, prestasi juga oke. 💐 Sementara itu, posisi Indonesia dan Filipina bagaikan klub promosi atau tim papan bawah yang sedang megap-megap di zona degradasi—katakanlah seperti Pisa FC atau Persis Solo. Performa tim kagak danta, tapi gaji kaptennya 14x lebih besar dari rata-rata pemain lain. 💐 Akibatnya, terjadi ketimpangan wage structure(struktur gaji) yang ekstrem. Beban finansial untuk membayar para "pemain" ini melonjak terlalu tinggi, terputus dari realitas, dan sama sekali tidak mencerminkan kemampuan ekonomi klub (baca: rakyat) yang sebenarnya sedang mereka bela. @phertamax @bahaspemainbola @TribunLFC_Indo @HeyBudie @malumngoLu @MilanUpdate @thekerupuk

Exclusive from #VeeamOn: theCUBE’s @dvellante & @krista_lee spoke with @Veeam’s @Shivp11 about how #shadowAI is forcing organizations to govern how #sensitivedata is shared protected across #AIworkflows. 💡 Get more insights! thecube.net/events/thecube/v… #DataTrust #EnterpriseAI

Data Brokers’ and AI Firms’ Opt-Out Forms Are Built to Fail, Report Finds | Dell Cameron, WIRED Some of the largest data-collecting companies in the United States—including major AI vendors, data brokers, defense contractors, and dating apps—rely on deceptive methods to keep consumers from opting out of the sale and sharing of their personal information, according to a new study from the digital rights nonprofit Electronic Privacy Information Center. Researchers at EPIC audited the opt-out processes of 38 major data companies and documented at least eight distinct categories of manipulative design: Opt-out forms that don't actually let users opt out of the sale of their data. Links that are buried in fine print and missing from homepages. Consumers routed through multiple separate forms to complete a single request. And requirements that users create accounts or pay for subscriptions before opting out at all, among others. “Manipulative design has no place in opt-out requests,” EPIC says. “Companies must design opt-out processes with respect toward consumers’ rights, and if they do not, regulators at the state and federal level should step in to defend consumer rights to opt out.” Major companies offering large language models, such as Google, Meta, and OpenAI, fail to clearly link their opt-out forms from their homepages or privacy policies, according to the report, and several require consumers to submit multiple separate forms to complete a single request. OpenAI's form, when a consumer finds it, does not offer a way to opt out of the sale or transfer of personal data. What it offers instead is an option to “remove personal information from ChatGPT responses,” which EPIC says is a filter on the chatbot's output, not the removal of any underlying data. EPIC frames opt-out failures as a safety issue, pointing to, among others, the case of Vance Boelter, the man charged with murdering Minnesota state representative Melissa Hortman and her husband Mark in June 2025. Prosecutors say Boelter used people-search data brokers to locate his targets’ home address. EPIC's researchers found that the people-search brokers they audited—Spokeo, Whitepages, and National Public Data—do not offer consumers a way to opt out of the sale or transfer of their data at all. Instead, the companies offer a process for removing individual listings by URL, one at a time, with no commitment to stop selling that same person's information in the future. Spokeo tells consumers directly that their information “may reappear on Spokeo in the future without notice” and instructs them to “regularly check” the site for new listings. The EPIC report notes that abusive individuals have for decades used commercially available data and technology to locate, harass, and assault their targets, with women, women of color, and LGBTQ people bearing the brunt. The report cites a separate EPIC analysis from December 2025 on the use of data brokers against domestic violence survivors, and another on threats to public officials at every level of government. For people in those categories, the report argues, the opt-out is often the only mechanism available to remove a home address from circulation before someone shows up at the door. “Many people may need to remove their information from Spokeo for safety reasons, such as domestic violence survivors or public officials and their families,” the report says. The Whitepages opt-out process requires consumers to submit URLs for every listing of themselves on the site—but full reports are gated behind a paid Whitepages Premium subscription, meaning people may have to pay the broker to find the information they need in order to opt out of it. Four other companies, including Bumble, default users into data sharing through preselected toggles, researchers found. On Bumble, the “Do Not Sell” option is styled to look selected by default, when in fact it is the option a user must click to opt out. EPIC's researchers were unable to locate an opt-out process at all on Meta, X, OpenAI, and Tinder without first logging in. And HireVue and the surveillance vendor DataTrust frame their opt-out instructions as available only to California residents, even though 20 other states have passed laws granting opt-out rights. Palantir, the defense and intelligence contractor, provides a privacy form on its website but does not include an option to opt out of the sale or sharing of personal data—the same finding EPIC documented for TikTok, Amazon, and the gunfire-detection vendor SoundThinking. Palantir also does not clearly link the form from its homepage or its privacy policy, and the researchers were unable to locate any opt-out process on Palantir's site, Meta, X, OpenAI, or Tinder without logging in first. Amazon disputed the finding. Adam Montgomery, a company spokesperson, says that Amazon does not sell customer personal information, and therefore customers are opted out by default. Opt-out options for data sharing are available through its “Your Ads Privacy Choices” and “Advertising Preferences” pages, and through privacy settings on most Amazon devices. Montgomery says Amazon does not use the word “share” in its opt-out options, but said the options cover the same uses defined by applicable law. Shane Bauer, a spokesperson for OpenAI, says the company does not sell user data, though it does acknowledge sharing limited data with marketing partners for targeted and cross-context behavioral advertising. “We give people straightforward ways to control how their data is used directly in our apps, so those choices are easy to make right where people are using our services,” Bauer says. “Our Privacy Portal is another way for people to submit privacy requests, including individuals who don’t have an OpenAI account but still want to exercise their privacy rights. We think giving users multiple ways to exercise their rights is a good thing.” Jackie Quintana, a HireVue spokesperson, disputes EPIC’s findings on scope, saying the company’s public privacy policy applies only to people who visit its marketing website, not to job applicants, whose data is processed through HireVue’s HR platform under consent controls configured by each employer. The company did not address EPIC’s finding that its public-facing policy directs opt-out instructions only to California residents. John Fisher, a spokesperson for SoundThinking, says the company’s opt-out forms can be found at the bottom of its privacy policy page, along with a customer help phone number. Google, Meta, Spokeo, Whitepages, National Public Data, Bumble, X, DataTrust, Palantir, TikTok, did not respond to requests for comment. Tinder acknowledged the inquiry but did not immediately provide a statement. “Consumers cannot effectively protect their own privacy by exercising opt-out rights,” EPIC says. Even a perfectly designed process—no buried links, no preselected toggles, no paywalls—would still require people to find and submit a request to every company that holds, sells, or transfers their data. The real remedy, EPIC concludes, is not better forms but less collection: rules that bar companies from gathering personal information they never needed in the first place. wired.com/story/data-brokers…

AI hallucinations often start with bad data. Clean, trusted data is what makes LLMs accurate, reliable & business-ready. 👉 i.melissa.com/4uLO0nK #ai #llm #dataquality #datagovernance #enterpriseai #datatrust