"We’re running 30,000 Spark jobs per month on Databricks to ingest, prepare and analyze our data. By using Databricks MLflow and Vertex AI, we’ve halved development time for new services and accelerated the rollout of new predictive machine learning (ML) models.”
“Sinyi Realty is committed to digital transformation in pursuit of net-zero sustainability, aiming to enhance our business offerings and support the local economy. By leveraging the unified workspace and processing power that the Databricks Lakehouse provides, our data teams can rapidly query massive data sets from a single source and enhance our implementation of Sinyi’s proprietary Property Matching System to elevate customer experiences."
"As our data pipeline continues to grow exponentially, it’s vital for us to be able to handle such scale without limiting our ability to deliver timely insights to our customers. Databricks empowers us to innovate to meet these growing demands of our business without pain."
"Thirty percent of the deliveries we do are lifesaving emergency deliveries. Databricks helps our data team and everyone in the company surface insights faster, so that we can continuously improve our technology and operations.”
“Databricks not only helps our data team, but also everyone in the company deliver insights faster.”
“We’re diagnosing real-world problems in real time, finding anomalies as they happen, and fine-tuning our algorithms so that we become more successful with every flight.”
“Our goal is to leverage data and AI to create an end-to-end experience that extends far beyond payments. This is the first step in achieving our vision of becoming Brazil’s first super-app, and Databricks Lakehouse is core to making that a reality.”
“Our data infrastructure didn’t allow us to collaborate on the data and with each other."
“Databricks has enabled us to consolidate massive amounts of data under a unified ML platform while taking personalization and fraud detection to the next level. Our internal teams have also been able to collaborate more efficiently, allowing us to improve the experience of playing fantasy sports and grow our user base.”
“In order to build the ML systems necessary for personalized fantasy sports recommendations, real-time fraud detection and operational efficiency, Dream11 needed a centralized, highly reliable and data scientist friendly machine learning platform that could scale a massive and sudden surge of data seamlessly across all our entities at speed.”
“Our collaboration with Databricks has enabled us to take control of our data and manage it more efficiently. Not only were we able to scale the data, but thanks to the integrated siloed teams, we are better able to launch our product, deliver personalization and enhance our fraud detection systems.”
“Thanks to Databricks Lakehouse, we can support real-time business decision-making based on data analysis results that are automatically updated on an hourly and daily basis, even as data volumes have increased by nearly 1,000 times.”
“The Databricks Lakehouse has allowed us to centralize all our data for our teams to collaboratively uncover insights, and develop student-centric services that have a positive impact on retention rates, and ultimately lead to more successful student outcomes.”
“Having access to industry-leading tools and programs provided by Databricks, a company that continues to drive innovation across the data science and machine learning community, is very exciting for our professors, students and university.”
“Databricks Lakehouse has provided a unified platform that brings together data and AI to deliver predictive solutions that help to protect our customers and our business by stopping fraud before it happens.”