How DPG Delivers High-Quality and Marketable Segments to Its Advertisers
This is a guest authored post by Bart Del Piero, Data Scientist, DPG Media. At the start of a campaign, marketers and publishers will often have a hypothesis of who the target segment will be, but once a campaign starts, it can be very difficult to see who actually responds, abstract a segment based on...
How Bread Standardized on the Lakehouse With Databricks & Delta Lake
This is a collaborative post from Bread Finance and Databricks. We thank co-author Christina Taylor, Senior Data Engineer--Bread Finance, for her contribution. Bread, a division of Alliance Data Systems, is a technology-driven payments company that integrates with merchants and partners to personalize payment options for their customers. The Bread platform allows merchants to offer more...
Large Scale ETL and Lakehouse Implementation at Asurion
This is a guest post from Tomasz Magdanski, Sr Director of Engineering, Asurion. With its insurance and installation, repair, replacement and 24/7 support services, Asurion helps people protect, connect and enjoy the latest tech – to make life a little easier. Every day our team of 10,000 experts helps nearly 300 million people around...
Infrastructure Design for Real-time Machine Learning Inference
This is a guest authored post by Yu Chen, Senior Software Engineer, Headspace. Headspace’s core products are iOS, Android and web-based apps that focus on improving the health and happiness of its users through mindfulness, meditation, sleep, exercise and focus content. Machine learning (ML) models are core to our user experiences by offering recommendations...
Mastering the Next Level: Leveraging Data and AI in the Gaming Sector
How do you take 10k events per second from 30M users to create a better gamer experience? How can a small data team build more automated workflows to grow impact across all business units, from finance to game development to marketing? In a recent virtual roundtable, we heard from the data teams at industry innovators...
Driving Transformation at Northwestern Mutual (Insights Platform) by Moving Towards a Scalable, Open Lakehouse Architecture
This is a guest authored post by Madhu Kotian, Vice President of Engineering (Investment Products Data, CRM, Apps and Reporting) at Northwestern Mutual. Digital Transformation has been front and center in most contemporary big data corporate initiatives, especially in companies with a heavy legacy footprint. One of the underpinning components in digital transformation is...
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. Adding to the pain, according to experts, there are not enough regulations to protect small businesses from chargebacks and losses from fraud. Despite significant advancements in credit card fraud, risk management techniques...
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 three decades from purely mechanical to, as Jahmy calls them, “mobile sensor suites that have computational capability.” This is in service to John Deere’s “smart industrial” strategy. More than just selling a piece...
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, understanding the potential for data-based roadblocks is key. This year’s Data and AI Summit (DAIS) hosted over global attendees across more than 200 sessions, and highlighted leaders from ABN AMRO, Intuit, Capital...
How Databricks Supports Digital Native Companies in Their Hyper-growth Journey
In a recent panel discussion, Richard Zananiri, Director of EMEA Mid-market at Databricks, was joined by four globally operating, high-growth cloud-native companies. Each organization is at the forefront of utilizing the power of data, ML and AI to solve business-critical issues within their respective sectors. The company representatives were asked to explain how they are...