How do you make the case for investing in data quality? Hear from leader in the housing finance industry, Freddie Mac’s VP and Chief Data Officer, Aravind Jagannathan, and Director of Data Analytics, Vikram Chopra, on how they tackled modernizing Freddie Mac's data ecosystem, steering clear of the data swamp highlights their innovative approach and dedication to effective data governance with guest host Stijn (Stan) Christiaens. https://lnkd.in/gERrhHWR
Collibra
Software Development
New York, New York 73,184 followers
The market leader in data intelligence
About us
Collibra helps our customers do more with trusted data. Our Data Intelligence Cloud brings flexible governance, continuous quality and built-in privacy to the world’s leading brands. Headquartered in New York City and Brussels, Collibra works with 700+ customers worldwide and partners with the most innovative companies. Co-founded by Felix Van de Maele and Stijn Christiaens, Collibra unites organizations with data that's easy to find, understand, trust and access. Recruitment Fraud Alert Collibra has received reports of employment scams that may offer employment or seek financial commitments from job candidates. Unsuspecting job seekers have reported receiving unsolicited contacts via LinkedIn, phone, email or text from individual(s) purporting to represent Collibra or our recruiter(s). The fictitious jobs may be advertised on employment-search websites, such as Indeed or Craigslist, or using fraudulent websites that have names similar to the relevant company website. Please take note that Collibra does not extend unsolicited employment offers. Furthermore, neither Collibra nor any of its recruiting partners will ever charge prospective employees with any fees or a security deposit during the recruitment process. If a person pretending to provide recruitment services for Collibra for a fee to the applicant or requires a security deposit, please be advised that this person is not affiliated in any way with Collibra. If you would like to pursue employment opportunities with Collibra, please visit our official careers website at https://www.collibra.com/careers. Job postings or employment applications that do not originate from our careers website may not be legitimate. You may report any such behavior via our Contact Us page at https://www.collibra.com/contact-us. If you have been defrauded or suspect identity theft as a result of an employment scam, please contact your local law enforcement agency for guidance.
- Website
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https://www.collibra.com/
External link for Collibra
- Industry
- Software Development
- Company size
- 1,001-5,000 employees
- Headquarters
- New York, New York
- Type
- Privately Held
- Founded
- 2008
- Specialties
- data governance, enterprise software, data stewardship, semantic technology, Information Governance, information stewardship, data catalog, data platform, data intelligence, data privacy, AI governance, artificial intelligence, data lineage, and data quality and observability
Locations
Employees at Collibra
Updates
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Attending Gartner Data and Analytics Summit in Sydney? Mark your calendars! Join Collibra's breakout session on Monday, July 29 to learn best practices on how to democratize data safely and effectively. Hear from Stephen Gilderdale and NSW Transport on this critical data strategy. See you there! #GartnerDA https://lnkd.in/gxGNyGtw
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Collibra reposted this
I joined the Remarkable podcast to share B2B marketing lessons from Abbott Elementary and how we do effective integrated marketing at Collibra! We talk about: 🤝 Partnering up with your coworkers ✅ Showing that you understand your audience 💡 Testing your ideas before investing in them 🎧 Link is in the comments! Thanks to Caspian Studios, Ian Faison and Meredith Gooderham for having me on the show!
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How important is data quality for AI in state and local governments? High-quality data is the foundation of effective AI. Without it, AI initiatives can lead to disastrous outcomes for SLED like 👇 👉 Poor data leads to inaccurate predictions. 👉 Ineffective operations can jeopardize public safety. 👉 Compromised data quality undermines public trust in AI technology. On the blog, we go through how AI initiatives are built on solid data foundations with the power of reliable data: https://lnkd.in/gTsuxFXV
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Big News! Collibra is now listed in the AWS Marketplace for the US Intelligence Community (ICMP) 🎉 As the US government expands its use of generative AI, we're here to ensure reliable, traceable, and compliant AI governance 🔐 Check out our full press release: https://lnkd.in/gMsDVu3q
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How do you start building a robust data governance program with your tiger team? 🐯 Check out Jacqueline Paneque's and Brett Larsen's experience, where they reveal how they transformed a fragmented data governance model into a cohesive powerhouse for TE Connectivity. https://lnkd.in/gFd53HFT
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Collibra reposted this
How confident are you in the reliability of your AI? Do you know the state of data quality feeding AI? Check out Eric Gerstner's blog on, Data observability for reliable AI, For some tips on how ensure, Reliable data for reliable AI. Thomas Brence Kirk Haslbeck Brian Mearns Seth Clark Kate Wendell Murthy Mathiprakasam Michael Rahm Collibra
"In our automated world, every second thousands of decisions hinge on your data. Poor data quality doesn't just mean mistakes—it means mistakes at lightning speed." I wish I could claim those words, but they came from Kirk Haslbeck, Founder of Collibra Data Quality. His comments highlight the growing industry challenge and how we solve it — where are you in your #DataGovernance journey? Consider how state and local governments (#SLED) leverage AI for public safety, operational efficiency, and improved citizen services. Yet, cataloging and lineage alone aren't enough. The crucial missing piece? #DataQuality Our world is now more automated, and your outcomes depend on the quality of your data. When data falls short, the repercussions are immediate and widespread. Rapid decisions based on flawed data can lead to significant risks that no organization can afford to overlook. Please consider our thoughts in the below article. 🔗 https://lnkd.in/e72akqXU Key Highlights: 🔍 The vital role of data quality in AI 🏙️ SLED use-case: AI in smart city traffic management 🤖 How Collibra's ML/AI ensures reliable AI models 🌟 Key features of Collibra Data Quality & Observability #AI #MachineLearning #SmartCities #Collibra #AIgovernance #PublicSafety #DataIntegrity #TechInnovation
How to observe data quality for better, more reliable AI
collibra.com
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Collibra reposted this
How To Observe Data Quality For Better, More Reliable AI
Eric Gerstner on LinkedIn
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Collibra reposted this
At the 1997 WWDC, Steve Jobs responded to a challenging question with this insight: "We have to start from what incredible benefits we can give to the customer, where we can take the customer—not starting with, ‘Let’s sit down with engineers and figure out what awesome technology we have and how we can market that.’" And this is exactly what we have at the core of our approach to implementing a business use case with the Collibra Data Intelligence platform. Our primary goal is to generate business value, enabling users to work with data more efficiently and effectively. It means that our first step should be a conversation with our business stakeholders and users to understand their needs and problems. So instead of starting with data challenges, we need to ask: - What is the business problem we’re trying to solve? - Why is it important for the organization? - Which business domains and personas are impacted? - What are the expected business outcomes from the solution implementation? By focusing on these questions, we ensure that our solution will bring real business value, and more importantly that it will be aligned with the real needs and goals of our customers. #dataintelligencetip #businessvalue #datagovernance Collibra
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How can you balance AI adoption with visibility and accountability? 💡 The key is collaboration. 💡 Check out our most recent webinar featuring expert insights on involving cross-functional teams and sharing knowledge to build trustworthy AI. You'll learn: 💡 How breaking down organizational silos leads to successful AI development and deployment 💡 Best practices for enhancing traceability in AI projects through collaboration 💡 Essential tools and capabilities that drive collaboration for trusted AI Plus, see a real-world example of Collibra Data Notebook, AI Governance, and Data Marketplace in action. https://lnkd.in/gbipskHb