Empowering Data-Driven Transformation
Why 33N Invested in DataGalaxy
As we come close to wrapping up a transformational year for Generative AI adoption, we took the chance to reflect on our recent investment in DataGalaxy, a must-have data platform for organisations embracing AI or unlocking data's full value for smarter business decision. Let’s start!
The Role of Data Governance platforms as the Backbone of AI and Analytics
As organisations evolve towards becoming AI and data-driven, they often find themselves grappling with the complexities of data management. Data governance platforms provide an essential solution by organising, centralising, and making data assets accessible across the enterprise. These platforms streamline data discovery, ensure data consistency, and enable analysts, data scientists, and business users to efficiently access reliable data. By enriching metadata and improving search-ability, these platforms empower teams with deeper insights into data lineage, quality and usage.
In AI projects, where data quality directly influences outcomes, having a reliable metadata repository helps teams build models that are more accurate, more explainable and maintainable over time. Effective governance practices prevent issues like data bias, quality lapses and security vulnerabilities that could compromise AI model integrity. According to recent reports, structured data quality/cleaning and governance practices are among the top that organisations are working on and are the main challenges to scaling up Gen AI, addressing risk concerns, regulatory requirements and building trustworthy models that stakeholders can rely on.
Data Catalogs: A Pillar of Modern Data Architectures
As organisations adopt modern data infrastructures, such as Data Mesh and Data Fabrics, the role of data catalogs becomes increasingly pivotal. As these modern infrastructures thrive on decentralisation and interconnectedness, they require seamless metadata management and governance to ensure data consistency and usability across distributed systems. Without a unified approach to managing metadata, organisations risk facing data silos, inefficiencies, and governance challenges. The data catalog acts as the cornerstone of these architectures, enabling comprehensive metadata curation, lineage tracking and discoverability. It creates a shared understanding of data assets, fostering trust and transparency.
DataGalaxy — Enabling Collaboration and Future-Ready Data Governance
Platforms like DataGalaxy provide governance frameworks that emphasise data stewardship, access control and policy adherence, which are essential in managing sensitive information and ensuring data accuracy.
In collaborative environments, data accessibility and usability across departments are key for generating insights and achieving AI project milestones. DataGalaxy supports cross-functional data sharing by fostering a culture of collaboration and by breaking down team silos. The platform’s intuitive cataloging interface encourages teams to document and share their findings, reducing redundant work and accelerating project timelines. As AI systems increasingly rely on diverse data sources, platforms that promote collaborative governance and transparency become essential. Moving forward, data catalog solutions that emphasize real-time data collaboration and governance will continue to play a pivotal role in shaping AI’s future within organisations, bridging the gap between technical and non-technical teams to drive more comprehensive insights and innovation.
Amongst competitors, DataGalaxy distinguished itself by providing a collaborative, user-friendly experience, which has helped it carve a unique space in a crowded field. Looking ahead, DataGalaxy aims to expand its capabilities to meet the evolving needs of data governance, providing a scalable solution that grows alongside an organisation’s data demands.
At 33N, we see data governance as the linchpin of AI-driven transformation. Our investment in DataGalaxy reflects our conviction that platforms like this are crucial for unlocking the potential of data in today’s rapidly evolving landscape.
We are excited to support DataGalaxy’s mission to redefine how organisations manage and govern their data, creating a more connected, collaborative and innovative future.
If you’re interested to know more, please check datagalaxy.com.
33N Company Updates 🚀
DataGalaxy
Organized “DataGalaxy Tech Summit NYC”, including a CDO Masterclass with insights from leading brands like Airbus and LVMH and a “Data on the Rocks” side-event 👉 Read more
Participated in the Big Data & AI Paris, engaging with industry leaders and showcasing their latest solutions 👉 Read more
Published articles "5 things that keep data management leaders up at night," and "6 tips for driving data literacy in your teams" 👉 Read more here and here
Exein
Reinforced its position of ensuring compliance with the Cyber Resilience Act, as the publication of the CRA in the Official Journal of the EU occured 👉 Read more
Published article on the “The Role of Open-Source in IoT Security” 👉 Read more
CEO Gianni Cuozzo interviewed about the Cyber Resilience Act 👉 Read more
CEO Gianni Cuozzo attended Cybertech Europe 2024 in Rome
Panorays
Attended Information Security Forum in Orlando 👉 Read more
Attended SecureWorld in NYC 👉 Read more
Published customer case study with Perion 👉 Read more
Attending Forrester Security & Risk Summit in Baltimore 👉 Read more
StrikeReady
Recognised by Gartner as a key player in the TDIR (Threat Detection, Investigation, and Response) segment 👉 Read more
Added Adil Mufti as our new Global CISO, with previous experience at Allstate, CNA Financial, and top cybersecurity firms 👉 Read more
Added Lee Weyers as VP of Sales, bringing a wealth of experience from Gartner, Oracle, and SAP 👉 Read more
Upcoming Events for 33N 🤝
Black Hat Europe, 9-12 Dec, London — Carlos A. & Gonçalo
Road to the Polish Presidency, 13Dec, Krakow — Carlos M.
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