The Rise of AI in Banking AI adoption in banking has accelerated dramatically. Predictive analytics, generative AI, and autonomous agentic systems are now embedded in core banking functions such as loan underwriting, compliance including fraud detection and AML, and customer engagement. A recent White Paper by Perficient affiliate Virtusa Agentic Architecture in Banking – White […]
Posts Tagged ‘Data Lineage’
AI-Driven Data Lineage for Financial Services Firms: A Practical Roadmap for CDOs
Introduction Imagine just as you’re sipping your Monday morning coffee and looking forward to a hopefully quiet week in the office, your Outlook dings and you see that your bank’s primary federal regulator is demanding the full input – regulatory report lineage for dozens of numbers on both sides of the balance sheet and the […]
End-to-End Lineage and External Raw Data Access in Databricks
Achieving end-to-end lineage in Databricks while allowing external users to access raw data can be a challenging task. In Databricks, leveraging Unity Catalog for end-to-end lineage is a best practice. However, enabling external users to access raw data while maintaining security and lineage integrity requires a well-thought-out architecture. This blog outlines a reference architecture to […]
Maximize Your Data Management with Unity Catalog
Databricks Unity Catalog is a unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. Unity Catalog offers a comprehensive solution for enhancing data governance, operational efficiency, and technological performance. By centralizing metadata management, access controls, and data lineage tracking, it simplifies compliance, reduces complexity, and improves query performance […]
The Technical Power of Unity Catalog – Beyond Governance
If you use Databricks, you probably know that Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards and […]
Risk Management Data Strategy – Insights from an Inquisitive Overseer
We are witnessing a sea-change in the way data is managed by banks and financial institutions all over the world. Data being commoditized and, in some cases, even monetized by banks is the order of the day. Though this seems to be at a stage where some more push is required in terms of adoption […]