Delivering Enterprise Worth by Unifying Information, Analytics and AI: Asserting the Finalists for the 2023 Databricks Unified Lakehouse Award

The annual Information Group Awards showcase how completely different enterprise information groups are delivering options to a number of the world’s hardest issues. 

Practically 300 nominations have been submitted by corporations from numerous industries and areas throughout six classes. Every of those organizations has displayed outstanding innovation of their information and AI initiatives, and we wish to assist inform these tales. As we method the Information and AI Summit, we’ll spotlight every class’s finalists within the coming days.

The Unified Lakehouse Award celebrates the info groups which have carried out a unified enterprise information platform structure, shifting from information warehouse to lakehouse to optimize prices and decrease complexity by bringing collectively all analytics and AI workloads. 

Beneath are the nominees for 2023’s Unified Lakehouse Award:

Condé Nast

Condé Nast is a world media firm producing award-winning journalism, content material and leisure for each platform at present and operates in 32 markets worldwide. Recognizing the immense worth of information in at present’s digital panorama, the info workforce launched into an bold journey to centralize all information in Databricks Lakehouse, eliminating the necessity for different information warehouses, together with cloud choices like Redshift and Snowflake. With a unified view into over 3PBs of information, they’ll deal with any analytics or ML workload on one platform whereas additionally saving them $6M in infrastructure prices and $2.6M in information engineering productiveness. Nevertheless it’s not nearly IT impression; they’re additionally delivering worth to the enterprise. 2000 ML fashions are serving predictive analytics to drive options in areas like segmentation, personalization, and subscriber churn, and over 200 enterprise customers are accessing experiences through Databricks SQL, with all information entry securely managed and tracked with Unity Catalog. The information workforce at Condé Nast isn’t stopping there — they’re waiting for notice extra price optimizations with Serverless deployments of Lakehouse parts and speed up extra worth to the enterprise by leveraging Lakehouse information.

Epsilon

Devoted to aligning expertise with prospects’ wants, Epsilon strategically makes use of information and synthetic intelligence (AI) to drive buyer engagement. Whether or not it’s tailoring advertising communications to people for higher marketing campaign outcomes or analyzing buyer information to forecast the chance of buying explicit merchandise, Epsilon is aimed toward optimizing buyer interactions to extend income for shoppers, all whereas respecting and defending the privateness of all events. With the adoption of Databricks Lakehouse, Epsilon has achieved a unified information structure that mixes buyer and transactional information with machine-learning capabilities at an unprecedented scale. Epsilon has improved its information and AI initiatives by leveraging the Lakehouse Platform. They’ve successfully utilized Delta Lake and Photon, resulting in enhancements of their computational capabilities. In consequence, they’ve skilled practically an 80% discount within the whole time it takes to finish jobs, enabling sooner innovation. Epsilon is trying ahead to what future accomplishments are to return on account of unifying on the Lakehouse platform.

Mercedes-Benz

As you would possibly anticipate with a world model, Mercedes-Benz has a large, ever-evolving complicated ecosystem that requires an increasing number of entry to information to make sure peak efficiency. Particularly, reporting on this information turns into vital to success. The outdated idea of database storage solely provides extra price as the info quantity will increase, which additionally impacts the general efficiency of the programs. Prior to now 12 months, the IT information workforce at Mercedes-Benz Singapore was one of many pilot groups to implement the revolutionary Databricks Lakehouse structure for his or her Area Abroad markets. Information was migrated from databases to Delta Lake storage and tables permitting for the eventual deletion of the older databases. Now all the info sits on Azure Information Lake Gen2 and is accessed simply through Databricks and Energy BI. All information hundreds occur through Databricks – the Reporting groups simply entry the info, and the Information Science workforce simply builds their workloads on Databricks.

Siam Business Financial institution

Siam Business Financial institution’s (SCB) has been actively creating data-driven providers to fulfill the rising demand for digital monetary administration. Utilizing information and AI, SCB goals to supply a holistic view of shoppers, enhance operational effectivity, and improve buyer lifetime worth. One key use case is utilizing information to modernize the mortgage course of, ship higher suggestions, and create an optimum digital expertise for hundreds of thousands of shoppers throughout Thailand. SCB migrated its on-premises information warehouse to achieve vital worth from Databricks Lakehouse, using practically each element of the platform. Utilizing the built-in information lake and information warehouse because the central information platform, unified governance is established, enabling environment friendly administration of information and AI property with Unity Catalog. Analysts leverage Databricks SQL to run queries and create impactful visualizations in Energy BI, leveraging complete buyer insights. Databricks Workflows have additionally improved manufacturing workflow administration, lowering bottlenecks. Mortgage software processing time has been lowered by 62%, and ML is used for personalised funding suggestions and new banking product choices. The lakehouse dedication has trimmed operational prices by THB30M yearly whereas doubling new digital mortgage acquisitions by means of personalised experiences. Siam Business Financial institution can now present really frictionless banking to its prospects. As SCB reimagined what the client journey may appear to be, they realized the advantages of the lakehouse may ship on their objectives to supply prospects with data-driven, real-time merchandise that elevate their monetary well-being.

Texas Rangers

Within the fiercely aggressive world of sports activities, organizations go away no stone unturned of their quest for victory. In Main League Baseball (MLB), information has emerged as the last word game-changer, serving to uncover insights that may increase participant efficiency and fan expertise. Behind the scenes, the Texas Rangers information workforce has emerged as MVPs (Most worthy gamers), by using the Databricks Lakehouse as their enterprise information platform to assist achieve a aggressive benefit. By shifting from a multi-cloud information warehouse to Databricks, they’ve achieved higher flexibility, agility, and scalability throughout the group. Information engineering has seen 7X extra velocity in producing new information pipelines, entry to information has elevated with 3X extra self-serve analysts producing experiences through Databricks SQL, and streaming information is now used for ML-driven predictive insights that assist gamers up their recreation. And all information is managed securely by means of Unity Catalog, with role-based entry and information lineage. And the outcomes aren’t solely on the sector as they’ve seen a 4X cost-effectiveness foundation. The identical TCO has resulted in over 4 instances as a lot information consumed and made out there, together with complicated sources corresponding to biomechanics and ball monitoring. Coupled with the 10X velocity in communication of KPIs to gamers and stakeholders, the Texas Rangers have actually hit a house run with Databricks.

We are going to announce every class’s award winners on the Information and AI Summit on June twenty seventh at 6:00 p.m. within the Expo Theater. We stay up for celebrating these superb information groups with you there.