Simplifying Data Governance in AI-driven Financial Services
In the era of rapid data growth and increasing pressure on financial institutions to utilize data for AI or genAI models, data governance...
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Generative AI is Everything Everywhere, All at Once
Attend Data and AI Summit on "Generation AI" either in-person or virtually to learn more. In the fast-paced world of finance, firms are...
Model Risk Management, a true accelerator to corporate AI
Special thanks to EY's Mario Schlener, Wissem Bouraoui and Tarek Elguebaly for their support throughout this journey and their contributions to this blog...
FINOS’ Legend to integrate with Databricks Lakehouse, improving open data exchange across the financial services industry
Read the Goldman Sachs perspective from the Goldman Developer Blog here Read the FINOS perspective here Amid increasing market volatility and rising geopolitical...
Databricks Financial Services Lakehouse for Quantitative Research
Quantitative research emerged in the 1960s with a simple yet revolutionary idea: apply mathematics and statistics to finance. Where the fundamental approach relied...
Creating a Community of Industry Practitioners With Databricks Solutions Accelerators
Photosynthesis is the process that transforms carbon dioxide, water and energy into sugars and oxygen. Harmful on its own, CO2 is transformed into...
Lakehouse for Financial Services Blueprints
The Lakehouse architecture has tremendous momentum and is being realized by hundreds of our customers. As a data-driven organization in the regulated industries...
Hyper-Personalization Accelerator for Banks and Fintechs Using Credit Card Transactions
Just as Netflix and Tesla disrupted the media and automotive industry, many fintech companies are transforming the Financial Services industry by winning the...
Lakehouse for Financial Services: Paving the Way for Data-Driven Innovation in FSIs
When it comes to “data-driven innovation,” financial service institutions (FSI) aren’t what typically come to mind. But with massive amounts of data at...
Timeliness and Reliability in the Transmission of Regulatory Reports
Managing risk and regulatory compliance is an increasingly complex and costly endeavour. Regulatory change has increased 500% since the 2008 global financial crisis...
4 Ways AI Can Future-proof Financial Services’ Risk and Compliance
Learn more about Smarter risk and compliance on our new hub. The core function of a bank is to protect assets, identify risks...
Identifying Financial Fraud With Geospatial Clustering
Check out the solution accelerator for the accompanying notebooks For most financial service institutions (FSI), fraud prevention often implies a complex ecosystem made...
Leveraging ESG Data to Operationalize Sustainability
The benefits of Environmental, Social and Governance (ESG) are well understood across the financial services industry. In our previous blog post , we...
Building a Modern Risk Management Platform in Financial Services
This blog was collaboratively written with Databricks partner Avanade. A special thanks to Dael Williamson, Avanade CTO, for his contributions. Financial Institutions today...
A Data-driven Approach to Environmental, Social and Governance
The future of finance goes hand in hand with social responsibility, environmental stewardship and corporate ethics. In order to stay competitive, Financial Services...
Modernizing Risk Management Part 2: Aggregations, Backtesting at Scale and Introducing Alternative Data
Understanding and mitigating risk is at the forefront of any financial services institution. However, as previously discussed in the first blog of this...
Modernizing Risk Management Part 1: Streaming data-ingestion, rapid model development and Monte-Carlo Simulations at Scale
Part 2 of this accelerator here . Managing risk within the financial services , especially within the banking sector, has increased in complexity...