A-Team Insight, from A-Team Group’s Post

Julia Bardmesser, Adjunct Professor; NYU Stern School of Business; Founder and CEO, Data4Real, will moderate this panel at Data Management Summit New York on how to organize, integrate and strcuture data for successful AI, with speakers: ➡️ Sumanda Basu, Head of Data Quality, Risk, Controls & Data Domain Lead, Societe Generale ➡️ Linda Zhang, Executive Director, Commercial & Investment Bank – Data and Analytics Technology, J.P. Morgan ➡️ Victor Tewari, PMP, Senior Vice President | Wealth Management & Private Banking – Chief Data Office, Citigroup Global Capital Markets Inc. ➡️ Theo Bell, PhD, Head of AI Product, Rimes Up for discussion: ❓Where are firms on their journey of tackling data silos and creating a complete picture of the data landscape? ❓What is the role of metadata in making relevant and intelligent data searchable and accessible for the business? ❓How are new tools and techniques being used to unify disparate sources of structured and unstructured data? ❓When considering scalability and optimizing performance, what are the considerations for database selection? And more! Register: https://lnkd.in/gXZviTBe #DMSNYC #datamanagement #dataintelligence #AI #GenAI #datasilos #metadata #unstructureddata #dataobservability #dataprivacy #datasecurity

In today’s financial markets, a key data engineering challenge is harmonizing and standardizing the diverse data formats, structures, and types from various sources. Whether it’s market data, transactions, or external feeds, achieving consistency and interoperability is essential for accurate analysis and AI-driven insights. To address this problem, J.P. Morgan's Fusion, a cloud-native data platform for institutional investors, launched data containers in May 2024. These containers use a common semantic layer to model and normalize data across multiple providers, sources, and formats—giving investors a consistent, integrated view of their data. Obviously, the problem is not solved as it depends on the unique combination of data formats and sources that your financial institution has. https://lnkd.in/dBzrj7cs #DataEngineering #FinTech #AI #DataTransformation #FinancialMarkets

🧭A CDO’s Guide to #UnstructuredData for #GenAI Success Sudipto Ghose, VP, Enterprise Data and Analytics at Equifax, Junaid Farooq, SVP, Enterprise Data Management at First Citizens Bank, and Jack Berkowitz, Chief Data Officer at Securiti, explore how CDOs can adopt a comprehensive approach to unstructured data management, safely unlocking its potential and effectively operationalizing GenAI. 🔍 Key Focus Areas: ⚡The rise of unstructured data in the GenAI era ⚡Challenges faced by CDOs in governing unstructured data ⚡New governance capabilities required to harness unstructured data for GenAI applications ➡️Watch the Full Discussion Now: https://hubs.ly/Q02NZjdv0 #DataGovernance #CDO #Webinar

Missed last week's #data foundations webinar? Check out the recording to hear our expert panel share strategies for data governance, closing data gaps and ensuring ethical use.

Did you know: The Financial Impact poor Data Quality has on Organizations rounds up around $9.7 million on an average each year. Here in this read, we have put together some really interesting trends about AI-driven Data Quality for 2025. Have a look: https://lnkd.in/gqRu5eka

Free Webinar from OMG and EDM Council: "Putting Data Semantics to Work...Finally...In Financial Institutions" October 31 | 11:00am Data semantics should be at the core of all computing, especially in the financial sector, where AI, complex analytics, and large-scale computing are crucial. However, as an industry, we still have a long way to go in implementing semantics. There are multitudes of ontologies in the field, from #FIBO to #FIGI, and data semantics are even written into the recent Financial Data Transparency Act. Why are most institutions still struggling to get it right? The webinar underscores our commitment to enabling banks and other financial institutions to incorporate semantics into their enterprise data operations. Panelists: Richard Robinson, Bloomberg LP Pete Rivett, Enterprise Knowledge Graph Forum (EKGF) David Blaszkowsky, Object Management Group Chris Betz, Data Innovation Lab, EDM Council Scott Affens, Two Sigma John Bottega, EDM Council  These top experts in data semantics and financial standards will guide you to refresh, or, if you are new to semantic data, inform your understanding of financial data semantics Register today: https://bit.ly/4eUPPqf #FDTA #DataOntology #DataSemantics #ITStandards #OpenStandards #TechnologyStandards

Reflecting on Gary Cao's insightful article on the six vital workstreams in a CDAO's playbook, I am reminded of the crucial role these elements play in fostering a data-driven culture. Each workstream, from data governance to analytics enablement, is essential for bridging the gap between data professionals and business users. The challenge often lies in ensuring that business users can easily access and trust the data they need for quick, informed decision-making. By focusing on these six pillars, organizations can unlock their true potenial and help their data org become a revenue center rather than a cost center. https://lnkd.in/dQnNr3Wh

The internal and external criteria for how we manage, protect and ultimately leverage our data to bring value to our organizations and their stakeholders is ever changing.  -and at a pace we’ve never experienced before. I firmly believe Data Governance is, and must be, an enabler through these complexities. Excited to host an Executive Boardroom Session this Thursday at the Atlanta CDAO Executive Summit with Davis Burgess and Jose Milton Buitron where we’ll have candid conversations about challenges and successes for how we Modernize Data Governance. #Evanta #Gartner #CDAO #Data #AI #womenindata #truehospitalityforgood

a CDO from FTSE 100 once gave me their advice on how to talk to executives about return on AI: he said cut through the FOMO and focus on how it directly impacts customer experience or bottom/top line growth everything else is just noise or hype. I took this advice to heart, and at Dataiku i'm constantly inspired by how our platform empowers leaders to redefine efficiency and innovation. We're proud to share some incredible results we've driven for our clients: - Enhanced Productivity: Standard Chartered Bank's FP&A team leverages our platform to boost analyst productivity by 30x, enabling faster decision-making and resource allocation. - Operational Efficiency: Entities like U.S. Venture Partners and @Bankers bank have experienced up to 20x faster analysis in market research and financial reporting, respectively, significantly shortening their time to insight. - Cost Reduction: Vestas has reduced express shipment costs by 11%-36% through optimized logistics planning facilitated by Dataiku, leading to considerable financial savings. - Risk Management: SLB has saved over $18 million by using our predictive models to retain high-value employees effectively. - Enhanced Decision Making: At Heraeus, our generative AI aids in lead identification, improving conversion rates and time savings by 60%-70%. Each of these achievements is a testament to the transformative power of integrating advanced data analytics into business operations. Let us help you cut through the noise and hype to achieve similar success. #DataAnalytics #AI #BusinessTransformation

A learning never stops! 📚✨ Today’s Learning 411: Understanding Data Governance through a Home Renovation Analogy! 🏡 The speaker (from IBM) creatively explained data governance by comparing it to cleaning out a house before a renovation. Key takeaways included: Discovery: Uncovering hidden items in a home is like identifying all data assets, including the unknowns. Classification: Sorting data into categories mirrors labeling family heirlooms or financial records. Policies and Rules: Establishing guidelines for data management is essential, just like deciding what to keep or discard. Metadata: Just as bins are labeled to describe their contents, metadata helps users understand the origin and purpose of data. Monetization: Effectively managing data unlocks its value, much like selling unwanted heirlooms. The speaker emphasized the importance of automating data governance processes to streamline these efforts. Watch the full video for more insights on leveraging data governance in today’s AI-driven world! #DataGovernance #AI #BigData #DataManagement #Analytics