Posts by Michael Ortega

FINRA (Financial Industry Regulatory Authority), a regulatory body charged with protecting the U.S. securities market, spoke at the Spark + AI Summit on how they use Databricks Unified Analytics Platform to analyze up to a 100 billion stock market events per day for fraud detection and prevention. This is a summary of their story from Summit....

Data and AI are ushering in a new era of precision medicine. The scale of the cloud, combined with advancements in machine learning, are enabling healthcare and life sciences organizations to use their mountains of data—such as electronic health records, genomics, real-world evidence, claims, and more—to drive innovation across the entire ecosystem, from accelerating drug...

The financial services industry is transforming rapidly. Customers today demand more personalized experiences, better returns on their investments and improved protection against fraud. As a result,  every bank, insurance company and institutional investor is turning towards big data and AI to meet these demands and outmaneuver the competition. Spark + AI Summit is the premier...

Over the past several years, Spark + AI Summit has become the premier event for data scientists, engineers, and Apache SparkTM enthusiasts to come together and share how they’re driving innovation with the latest data and machine learning technologies. Last year’s Summit set a new record, with more than 4000 attendees and over 100 talks...

From Static Data Warehouse to Scalable Insights and AI On-Demand Government agencies today are dealing with a wider variety of data at a much larger scale. From satellite imagery to sensor data to citizen records, petabytes of semi- and unstructured data is collected each day. Unfortunately, traditional data warehouses are failing to provide government agencies...

With 2019 in full swing, the excitement for data and AI driven innovation continues. Over the past few years, we’ve seen leading innovators - like Riot Games, Regeneron and Shell - become early adopters of the latest machine learning and AI technologies, building and deploying AI applications into production. But with great promise comes great...

Artificial Intelligence (AI) adoption is picking up steam. Enterprises are looking for new ways to deploy AI to transform their business and gain a competitive edge. With the power of machine learning (ML) fueled by the insights mined from massive volumes of data, AI is no longer only for the 1%, but quickly becoming an...

The progress made in the field of machine learning and AI over the past several years has been tremendous. We’ve moved from science projects and edge use cases, to core businesses and competitive advantages, with more companies across various industries looking for opportunities to tap into their data and leverage AI. In 2018, we saw...

With 2018 behind us, it’s been amazing to see AI projects gain steam and make significant impact across industries. In fact, a recent survey by CIO.com cites that 90% of enterprises are actively investing in AI. What has fueled this innovation is the massive influx of organizations tapping into the potential of their data and...

Apache Spark™ has fast become the most popular unified analytics engine for big data and machine learning. It was originally developed at UC Berkeley in 2009 by the team who later founded Databricks. Since its release, Apache Spark has seen rapid adoption. Today’s most cutting-edge companies such as Apple, Netflix, Facebook, and Uber have deployed Spark...