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The financial services industry (FSI) is rushing towards transformational change, delivering transactional features and facilitating payments through new digital channels to remain competitive. Unfortunately, the speed and convenience that these capabilities afford also benefit fraudsters. Fraud in financial services still remains the number one threat to organizations’ bottom line given the record-high increase in overall...

At Databricks, we strive to provide a world-class development experience for data scientists and engineers, and new features are constantly getting added to our notebooks to improve our users’ productivity.  We are especially excited about the latest of these features, a new autocomplete experience for Python notebooks (powered by the Jedi library ) and new...

As part of our Data + AI Online Meetup, we’ve explored topics ranging from genomics (with guests from Regeneron) to machine learning pipelines and GPU-accelerated ML to Tableau performance optimization.  One key topic area has been an exploration of the Lakehouse. The rise of the Lakehouse architectural pattern is built upon tech innovations enabling the...

The benefits of Environmental, Social and Governance (ESG) are well understood across the financial services industry. In our previous blog post, we demonstrated how asset managers can leverage data and AI to better optimize their portfolios and identify organizations that not only look good from an ESG perspective, but also do good — companies that...

Why reputation risk matters? When it comes to the term "risk management", Financial Service Institutions (FSI) have seen guidance and frameworks around capital requirements from Basel standards. But, none of these guidelines mention reputation risk and for years organizations have lacked a clear way to manage and measure non-financial risks such as reputation risk. Given...

Databricks is used by data teams to solve the world's toughest problems. This can involve running large-scale data processing jobs to extract, transform, and analyze data. However, it often also involves data analysis, data science, and machine learning at the scale of a single machine, for instance using libraries like scikit-learn. To streamline these single...

The blog contains code examples in Azure Databricks, Azure DevOps and plain Python. Please note that much of the code depends on being inside an Azure environment and will not work in the Databricks Community Edition or in AWS-based Databricks. Most organizations today have a defined process to promote code (e.g. Java or Python) from...

Algorand is a public, decentralized blockchain system that uses a proof of stake consensus protocol. It is fast and energy-efficient, with a transaction commit time under 5 seconds and throughput of one thousand transactions per second. The Algorand system is composed of a network of distributed nodes that work collaboratively to process transactions and add...

Click below to download the notebooks for this solution accelerator: Campaign Effectiveness -- ETL Campaign Effectiveness -- Machine Learning How do you connect the impact of marketing and your ad spend toward driving sales? As the advertising landscape continues to evolve, advertisers are finding it increasingly challenging to efficiently pinpoint the impact of various revenue-generating...

Table of Contents Introduction Automation options Common workflow Pre-Requisites Create Azure Resource Group and Virtual Network Provision Azure Application / Service Principal Assign Role to Service Principal Configure Postman Environment Provision Azure Databricks Workspace Generate AAD Access Token Deploy Workspace using the ARM template Get workspace URL Generate Access Token for Auth Generate AAD Access...