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The annual Data Team Awards showcase how different enterprise data teams are delivering solutions to some of the world’s toughest problems. 

Nearly 300 nominations were submitted by companies from diverse industries and regions across six categories. Each of these organizations has displayed remarkable innovation in their data and AI initiatives, and we want to help tell those stories. As we approach the Data + AI Summit, we will highlight each category's finalists in the coming days.

The Data Team Democratization Award recognizes data teams empowering their entire organization to securely access data, analytics and AI when and how they need it with fully managed governance — making every team a data team..

Below are the finalists for 2023’s Democratization Award:


Barilla 

For Barilla Group, an Italian food Company with diversified food products made in 29 factories and distributed across more than 100 countries, building an efficient operation is no simple task. The goal of Barilla's IT Data & Analytics team was to create business value from the data collected across these areas and make it available for all functions within the entire organization. Data democratization with Databricks Lakehouse has helped Barilla do just that, the company leveraging both historical and predictive data insights to solve a range of challenges and optimize daily activities. Analysts can monitor shipments overseas in near real-time, predict demand and adjust production to improve inventory management. Marketers can understand customer behavior in different countries and identify new market segments to drive more revenue opportunities. Manufacturing can extract and allocate industrial costs and quantify plant losses, and can also better predict when a machine is likely to fail and schedule maintenance windows proactively. And it’s all being done with managed role-based access with Unity Catalog to easily discover, understand and use data more securely through catalogs of data assets that are discoverable and traceable. From finance to marketing, to manufacturing and to supply chain, Barilla Group will strategically lever on Data, Advanced Analytics and Artificial Intelligence to accelerate innovation and enable a long term sustainable business growth.

 

GSK

GSK leverages the power of data with the use of Artificial Intelligence (AI) to successfully achieve its company purpose of uniting science, technology and talent to get ahead of disease together. GSK is specifically investing in a world-class, enterprise-wide “Code Orange” data platform delivered at scale with great strategic partners like Databricks. Code Orange includes 6000+ data pipelines, 350+ use cases, over 400 machine learning models, and capabilities like a best-in-class data science workbench, a suite of streaming and batch ingestion tools, and a GxP ready security model. The platform enables GSK to supercharge R&D to advance its pipeline faster and better than before, drive innovation with smart manufacturing initiatives to improve product quality, efficiency, and sustainability as well as increase yields, and enhance its commercial focus with omnichannel strategies and recommendations to best address the needs of our customers and patients.

 

HealthVerity

HealthVerity is making groundbreaking strides in the healthcare and life sciences industry by revolutionizing how healthcare partners securely connect and exchange real-world data. Powered by Databricks Lakehouse, HealthVerity synchronizes transformational technologies with the nation’s largest fully interoperable and HIPAA-compliant healthcare and consumer data ecosystem, to reshape our understanding of patient experiences. Leveraging the Databricks Lakehouse and Unity Catalog, they have empowered their clients to drive meaningful improvements in patient outcomes by synchronizing unparalleled identity management with built-in privacy compliance and governance, providing the ability to discover and exchange a near limitless combination of HIPAA-compliant healthcare data. From facilitating real-world evidence and personalized care for patients with cardiovascular disease and diabetes to advancing research on pregnancy health for the well-being of new mothers and infants, the HealthVerity data-driven approach is making a tangible difference. Through their innovative approach to data synchronization, HealthVerity empowers healthcare professionals and stakeholders to make informed decisions, drive personalized care, and ultimately transform the lives of patients for the better.   

 

Nationwide

Nationwide is at the forefront of spearheading transformative change within the insurance sector. Their primary objective is to develop customized insurance solutions that cater to individual requirements. It places a strong emphasis on secure data protocols throughout the organization and has selected Databricks Lakehouse as its go-forward data warehouse provider. Nationwide seeks to transform the insurance industry and provide policyholders with greater value and personalized experiences through the effective utilization of data.

 

Rivian

With more than 35,000 electric vehicles (EV) produced, Rivian is turning a vision of the future of sustainable adventure into a reality. The Delta Lake helps capture terabytes of data every day from the sensors and controllers of Rivian vehicles – everything from driving performance information to how parts function. For Rivian’s data team, their success relies on harnessing all that data and turning it into insight as fast as possible, which can then be rolled into software feature updates that increase reliability and improve driving experiences. The team at Rivian has built a data-driven culture that flows throughout the company, with both technical and business teams using Databricks Lakehouse to explore data and extract actionable product insights via visual dashboards powered by DatabricksSQL. With Unity Catalog, they have centralized data catalog and access management across teams and workspaces with full lineage, which has simplified yet robust governance and data sharing. End-to-end version controlled governance and auditability of sensitive data sources, like the ones used for autonomous driving systems, produces a simple but secure solution for feature engineering. Rivian has seen usage of Databricks grow from 5 to 250 team members in just a year — putting Rivian in place to continue to deliver on its mission for a more sustainable future.

 

We will announce each category's award winners at the Data + AI Summit on June 27th at 6:00 p.m. in the Expo Theater. We look forward to celebrating these amazing data teams with you there.

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