Latest news with #Collibra
Yahoo
19 hours ago
- Business
- Yahoo
Collibra Announces the Acquisition of Raito and New, Powerful Advancements in Unified Governance for Data and AI Across Every Data Citizen
NEW YORK and BRUSSELS, June 5, 2025 /PRNewswire/ -- Collibra, the leader in unified governance for data and AI, today announced new product innovations to empower every data team to more easily govern data and AI. In addition, Collibra has announced the acquisition of Raito, a company specializing in data access governance. The new release, as well as the acquisition, were unveiled at the Collibra Product Premiere events in New York and Brussels. Every organization is looking to AI to automate business processes and support better business decision-making. Some are buying out-of-the-box AI agents that need careful monitoring and access controls to be autonomous, while others are developing custom AI agents and applications that need reliable data to be trustworthy. However, as demand for AI use cases, models and agents grows, organizations are dealing with an ever more fragmented data and AI environment. Rigid and fragmented tools aren't keeping up with these demands. As a result, organizations struggle to maintain clear visibility, control, traceability and access across their entire data and AI platforms. Collibra, a recognized industry leader by multiple analyst firms, closes this gap with its flexible and unified approach to governance for data and AI. It offers organizations a single command center to observe, track, protect and democratize data access across all data sources, for every user, and for any data or AI use case. With Collibra's latest innovations, every data user can now trust that their data and AI are reliable and traceable. That's the power of one. "Organizations face an ever more fragmented data and AI environment as the demand for AI use cases, models, and agents grows." said Felix Van de Maele, CEO of Collibra. "Collibra's latest innovations, as well as the acquisition of Raito, demonstrate our continued commitment to unifying and automating data and AI governance for all data users across all data sources so that organizations can accelerate and be confident in their use of data and AI." This product launch delivers on the power of one by introducing the industry's first platform for unified governance for data and AI that includes data quality and observability. While advancements in AI are opening up once-in-a-generation opportunities for enterprises, legacy challenges — from data silos to fragmented governance — are handicapping most organizations and eroding data confidence. Now, all data professionals — from data engineers, data scientists, data stewards and business users — can say good-bye to untrusted data with even better connectivity, visibility, usability, and automated data quality leading to more accurate AI outcomes. With Collibra's latest innovations, data engineers can automate data quality monitoring and rule creation. Collibra Cloud Sites lets them accelerate data source connectivity with an agentless approach to accelerate time to value. Data engineers can now also track data lineage across AWS Glue and Apache AirFlow pipelines with support for OpenLineage. This enhances traceability, accelerates root cause analysis, and is an example of Collibra's commitment to open standards. Data stewards can now visualize data relationships with a seamless and consistent user experience with new diagrams. They can also develop and deploy workflows more effectively with an updated workflow designer that improves organization and revision tracking. Data stewards can also analyze Snowflake data usage to easily understand which users are using what tables to drive adoption efforts. Plus, thanks to Collibra's acquisition of Raito, data leaders will soon be able to more effectively manage and control access to accelerate secure data consumption across users and AI agents. Data consumers can now easily discover data assets, look up business glossary definitions and search product documentation using simple, natural language with Collibra AI Copilot, our new intuitive chat experience. They can also create, manage and publish trusted data products faster with a new lifecycle progress tracker, built-in assessments and automated workflows. Finally, data scientists can now enhance visibility and oversight over AI models using a single pane of glass with AI model governance. Plus, they'll get increased traceability of AI models with new integrations to Microsoft Azure AI Foundry and MLflow. To learn more about Collibra's latest advancements, please watch our Product Premiere event here and read more about the Raito acquisition here. About CollibraCollibra helps our customers accelerate data and AI use cases — without the risk. Our powerful, unified platform brings flexible governance and continuous quality with automated visibility, control and traceability to the world's leading brands. Collibra unifies governance for data and AI for every user, every use case and across every source so that everyone in the organization can trust, comply and consume their data at scale. This is Data Confidence™. To learn more, visit and follow us on LinkedIn, X, Facebook and Instagram. View original content to download multimedia: SOURCE Collibra Errore nel recupero dei dati Effettua l'accesso per consultare il tuo portafoglio Errore nel recupero dei dati Errore nel recupero dei dati Errore nel recupero dei dati Errore nel recupero dei dati
Yahoo
20 hours ago
- Business
- Yahoo
Collibra acquires data access startup Raito
Collibra, a data governance platform based in Brussels, is the latest enterprise to acquire a data company in order to expand its offerings in the age of AI. On Thursday, Collibra announced its acquisition Raito, a data access startup founded in 2021. Raito, also located in Brussels, helps companies manage which employees and customers have access to internal data. Collibra declined to comment on the terms of the deal. Raito previously raised $4 million in venture funding from investors, including Dawn Capital, Crane Venture Partners, and Collibra itself. Collibra founder and CEO Felix Van de Maele told TechCrunch that while managing data access is not a new problem for enterprises, it is becoming a bigger headache for data teams as more departments seek access for AI agents and workflow automation. "We heard from our customers and large organizations that managing data access at scale has become a really big problem," Van de Maele said. "That's why the traditional approaches just don't scale anymore. They're too brittle. They're manual workflows, [based on] static policies." Van de Maele added that Collibra already has a similar product, Collibra Protect, that touches on these access controls but is primarily focused on keeping data private. Raito's tech will help Collibra bolster and automate that offering. Raito isn't the only company focused on data access. Legacy enterprises like SailPoint and SecureAuth are just a few of the companies also offering data access tools. Van de Maele said buying Raito was the right choice for the company, as opposed to partnering with a legacy player, because Raito is cloud-native and built for the current AI moment. That Raito was founded by former Collibra employees didn't hurt either. "We also [were] looking for teams that want to continue to build, right? It's not the end for this," Van de Maele said. "It is just really the beginning of this journey." This is just the latest acquisition of a data company aimed at addressing a data governance void as companies look to shore up their stack to adapt to AI innovation. Last week, Salesforce announced its intent to acquire Informatica for the same reason. Earlier in May, both Alation and ServiceNow made similar acquisitions. Van de Maele added that advancements in AI have made people realize just how fragmented their data stacks have become, as many players had flooded the market over the last decade with single-point data solutions. "That fragmentation of governance . . .has really become a big problem, and so that's why we were excited to kind of acquire Raito and really make it part of Collibra, our unified governance platform for data and AI," Van de Maele said. Collibra was founded in 2008 as an early player to the data governance sector. The company has since raised nearly $600 million in venture capital from firms including Index Ventures, Sequoia and Tiger Global, among others. The company works with enterprises that include Heineken, Credit Suisse, and SAP. This article originally appeared on TechCrunch at Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
TechCrunch
21 hours ago
- Business
- TechCrunch
Collibra acquires data access startup Raito
Collibra, a data governance platform based in Brussels, is the latest enterprise to acquire a data company in order to expand its offerings in the age of AI. On Thursday, Collibra announced its acquisition Raito, a data access startup founded in 2021. Raito, also located in Brussels, helps companies manage which employees and customers have access to internal data. Collibra declined to comment on the terms of the deal. Raito previously raised $4 million in venture funding from investors, including Dawn Capital, Crane Venture Partners, and Collibra itself. Collibra founder and CEO Felix Van de Maele told TechCrunch that while managing data access is not a new problem for enterprises, it is becoming a bigger headache for data teams as more departments seek access for AI agents and workflow automation. 'We heard from our customers and large organizations that managing data access at scale has become a really big problem,' Van de Maele said. 'That's why the traditional approaches just don't scale anymore. They're too brittle. They're manual workflows, [based on] static policies.' Van de Maele added that Collibra already has a similar product, Collibra Protect, that touches on these access controls but is primarily focused on keeping data private. Raito's tech will help Collibra bolster and automate that offering. Raito isn't the only company focused on data access. Legacy enterprises like SailPoint and SecureAuth are just a few of the companies also offering data access tools. Van de Maele said buying Raito was the right choice for the company, as opposed to partnering with a legacy player, because Raito is cloud-native and built for the current AI moment. Techcrunch event Save now through June 4 for TechCrunch Sessions: AI Save $300 on your ticket to TC Sessions: AI—and get 50% off a second. Hear from leaders at OpenAI, Anthropic, Khosla Ventures, and more during a full day of expert insights, hands-on workshops, and high-impact networking. These low-rate deals disappear when the doors open on June 5. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | REGISTER NOW That Raito was founded by former Collibra employees didn't hurt either. 'We also [were] looking for teams that want to continue to build, right? It's not the end for this,' Van de Maele said. 'It is just really the beginning of this journey.' This is just the latest acquisition of a data company aimed at addressing a data governance void as companies look to shore up their stack to adapt to AI innovation. Last week, Salesforce announced its intent to acquire Informatica for the same reason. Earlier in May, both Alation and ServiceNow made similar acquisitions. Van de Maele added that advancements in AI have made people realize just how fragmented their data stacks have become, as many players had flooded the market over the last decade with single-point data solutions. 'That fragmentation of governance . . .has really become a big problem, and so that's why we were excited to kind of acquire Raito and really make it part of Collibra, our unified governance platform for data and AI,' Van de Maele said. Collibra was founded in 2008 as an early player to the data governance sector. The company has since raised nearly $600 million in venture capital from firms including Index Ventures, Sequoia and Tiger Global, among others. The company works with enterprises that include Heineken, Credit Suisse, and SAP.
Hans India
29-05-2025
- Business
- Hans India
How Ashok Choppadandi's Data Architecture Transformed a $28B Financial Institution
In today's hyper-competitive financial landscape, data is more than a business asset—it's a strategic differentiator. Few embody this principle better than Ashok Choppadandi, whose architectural leadership at a $28 billion U.S. regional bank catalysed one of the most transformative digital journeys in modern banking. Before Choppadandi's involvement, the bank was grappling with deep-rooted inefficiencies: over 40 fragmented systems across business lines, inconsistent customer experiences, and compliance processes riddled with manual effort. 'The bank had accumulated a patchwork of legacy systems through years of growth and acquisitions,' Choppadandi recalls. 'This created blind spots that affected everything from customer service to regulatory compliance.' Recognising the urgent need for change, Choppadandi led the design and implementation of a cloud-native, intelligent data ecosystem that would redefine both the institution's internal operations and its external reputation. Built on Snowflake, AWS S3, and Kafka, with business-specific data marts and governed by Collibra and Coalesce low-code ELT tooling, the new architecture was a leap toward real-time, customer-centric banking. 'We designed the system with both current and future requirements in mind,' he explains. 'It had to meet regulatory frameworks like CECL, AML, and Basel III, but also empower agile decision-making and customer personalisation.' At the core of this transformation was Data Vault 2.0 modeling, enabling a flexible and scalable data warehouse. Kafka streaming pipelines delivered real-time insights across functions, while an ambitious data governance initiative enforced over 1,500 data quality rules and complete lineage mapping. But perhaps the most pioneering element was Choppadandi's application of Data Reliability Engineering (DRE). 'We treated data platforms as living environments,' he says. 'Our self-healing architecture could detect and resolve anomalies before they affected operations, driving resiliency and trust.' The results were nothing short of extraordinary. A unified Customer 360 platform enhanced relationship banking, regulatory reviews found zero compliance gaps, and platform resiliency soared. Real-time insights accelerated decisions across departments, and automated governance reduced both risk and cost. The transformation's impact extended well beyond the institution. 'The solutions we developed weren't just about one bank,' Choppadandi reflects. 'We were creating blueprints that address industry-wide challenges—trust, transparency, compliance, and customer focus.' Today, those architectural patterns are part of peer-reviewed publications and industry reference models, establishing Choppadandi as a thought leader in financial data innovation. His work didn't just change one bank's future—it helped define a new era for data-driven banking.
Yahoo
30-04-2025
- Business
- Yahoo
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 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@ 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 and follow us on LinkedIn, X, Facebook and Instagram. View original content to download multimedia: SOURCE Collibra
