Two themes have stood out from the many that have dominated the data management space in the past year – and at A-Team Group’s Data Management Summit New York City 2025, both will be explored in detail by leading practitioners in each subject’s respective fields.
The first of those themes is grounded in a consensus that artificial intelligence will be of greatest benefit if it can be scaled across financial enterprises. But getting data into a ready state for its ingestion into AI applications can prove an impediment to that scaling objective.
Even once that’s achieved, however, there is still a risk that the data will be incorrectly interpreted by the large language models that power generative AI. When that happens, the models’ outputs can be misleading, incorrect and potentially damaging. From this has emerged the second key theme; forfending against hallucinations and other output irregularities is a key task of data managers.
Highlighting the solutions for, and benefits of, managing these two priorities will be experts from two innovative companies in financial data management.
Pain Points
Informatica’s GVP of solutions sales and business development, Amy Horowitz, will take on the first of these pain points in a keynote address that will examine how organisations can overcome the foundational data challenges that can prevent AI from being fully utilised.
Horowitz, whose role at Informatica is focussed “on enabling strategic data use across enterprises”, will tackle the critical barrier holding banks and financial firms back from realising AI’s potential: their data. She’ll explain why most AI projects fall short and how building the right data foundation is key to turning promise into results.
Before her appearance at the Data Management Summit New York City 2025 on September 18, Horowitz highlighted three things that practitioners need to keep in mind when building out their AI capabilities.
“Most firms aren’t ready – nearly 90% of financial institutions lack the data foundation necessary for effective AI deployment, leaving huge potential untapped,” Horowitz told Data Management Insight.
“Data is the blocker – legacy systems, poor data quality, and siloed information prevent AI projects from scaling beyond pilots,” she added. “And there is a way forward – nn AI-ready data foundation empowers banks to deliver real improvements in fraud detection, risk management, and customer experience.”
Explainable AI
Among other themes she’ll touch on will be how organisations can deliver high-quality, trusted and governed data for compliant, explainable AI. Also, she’ll look to discuss how AI-ready data accelerates impact in KYC/AML, fraud detection, risk modelling and customer intelligence.
The integrity of data is essential to ensuring the outputs of AI applications are accurate and useable. Helping organisations to safeguard that critical factor are Retrieval-Augmented Generation (RAG) architectures, which ground AI outputs in verified structured and unstructured data, ensuring every answer is traceable.
Discussing this and how data managers can redefine data quality for their AI applications will be Joe Gits, chief executive of Context Analytics, which specialises in sourcing, cleaning and giving structure to unstructured data.
“This session examines how advances in AI are reshaping decision-making and strategy,” Context told Data Management Insight. “By exploring the balance between human expertise and machine intelligence, we’ll highlight how leaders can adapt to disruption, harness data-driven insights and rethink what it means to stay competitive in the age of accelerated innovation.”
Gits’ presentation will take in how data managers can use prompt engineering to craft queries that enable models to provide factual answers and avoid fabrication. It will also consider how can data managers fine-tune AI models on proprietary data, with human oversight, creating a feedback loop for continuous improvement.
- Data Management Summit New York City 2025, now in its 15th year, will take place at Convene, One Liberty Plaza, in Manhattan on September 18. Click here to secure your place at the US’ most informed data management gathering.
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