Using Your Data to Stop Credit Card Fraud: Capital One and Other Best Practices
Fraud is a costly and growing problem – research estimates that $1 of fraud costs companies 3.36x in chargeback, replacement and operational cost...
Now in Public Preview: Orchestrate Multiple Tasks With Databricks Jobs
READ DOCUMENTATION As companies undertake more business intelligence (BI) and artificial intelligence (AI) initiatives, the need for simple, clear and reliable orchestration of...
Down to the Individual Grain: How John Deere Uses Industrial AI to Increase Crop Yields Through Precision Agriculture
Recently, The Verge spoke with Jahmy Hindman , CTO at John Deere, about the transformation of the company’s farm equipment over the last...
Four E-commerce Challenges That Can Be Addressed With Data + AI
The global health crisis accelerated the adoption of omnichannel shopping and fulfillment. Consumers spent $861.12 billion online with US merchants in 2020, up...
Democratizing Data and AI in Finserv: DAIS 2021 Takeaways
For financial services providers, driving business forward with data is a longstanding practice—but as machine learning (ML) and artificial intelligence (AI) technologies improve...
A Shared Vision for Data Teams: Why Cubonacci Joined Databricks
Today, we are excited to announce that our company, Cubonacci, has joined the Databricks family. We founded Cubonacci in Amsterdam to enable businesses...
Applying Natural Language Processing to Healthcare Text at Scale
This is a co-authored post written in collaboration with Moritz Steller, AI Evangelist, at John Snow Labs. Watch our on-demand workshop, Extract Real-World...
Databricks Solutions Showcase
Inspiration doesn’t always come from our peers. Some of the best ideas come from innovators in other industries.This is especially true when it...
Using Bayesian Hierarchical Models to Infer the Disease Parameters of COVID-19
In a previous post, we looked at how to use PyMC3 to model the disease dynamics of COVID-19 . This post builds on...
Three Principles for Selecting Machine Learning Platforms
This blog post is the second in a series on ML platforms, operations, and governance. For the first post, see Rafi Kurlansik’s post...