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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...

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...

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...

The global health crisis accelerated the adoption of omnichannel shopping and fulfillment.  Consumers spent $861.12 billion online with US merchants in 2020, up an incredible 44% compared to the previous year, which marks the highest annual growth in U.S. e-commerce in at least two decades. To keep up pace with this shift and more effectively...

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...

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 comes to data science and AI/ML innovations being applied to business processes and all aspects of operational decision-making. Consider fraud: Who knows how to analyze millions of data points in real-time better...

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...

During the Data + AI Summit (fka Spark + AI Summit), Databricks CEO Ali Ghodsi recognized four exceptional data teams for how they have used data, machine learning, and AI to solve some of the world’s toughest problems. The second annual Databricks Data Team Awards brought a diverse set of submissions, representing many industries, use...

With the proliferation of applications came the problem of data integrity. The problem with the advent of large numbers of applications was that the same data appeared in many places with different values. In order to make a decision, the user had to find WHICH version of the data was the right one to use among the many applications. If the user did not find and use the right version of data, incorrect decisions might be made.

The annual Databricks Data Team Award recognizes data teams that are harnessing the power of data + AI to deliver solutions to some of the world’s toughest problems. From finding ways to help manage the COVID-19 pandemic to improving the sustainability of industrial machinery to enabling better healthcare outcomes, Databricks helps unify data engineers, scientists...