Announcing the Winners of the 2025 Data Intelligence Awards

Transformation Award: Lenovo

Lenovo is a leading global technology company focused on delivering "smarter technology for all," and known for its manufacturing of PCs, tablets, smartphones, and other devices. Lenovo has achieved remarkable success in its transformational journey by creating a robust enterprise-level global data warehouse. They built a modern data platform using existing Lenovo technology on Azure Databricks.

By incorporating corporate common data models and hundreds of key performance indicators, the team is able to support diverse organizational functions, from product development to sales and services. By fully adopting Databricks SQL (DBSQL) and Unity Catalog (UC), Lenovo ensured comprehensive data governance and integrated its proprietary Horizon governance tool for enhanced AI and data management capabilities. Benefits include a 20% reduction in cloud costs through flexible resource provisioning and finance operations practices, a 30% improvement in job SLA performance via advanced resource tuning and coding optimizations, and a 30% boost in migration coding through automated code translation using generative AI tools.

Lenovo modernized its data protection mechanisms with UC features like automated masking and profiling tools. This collaboration optimized costs and productivity and positioned Lenovo as a leader in AI integration, enabling future-proof solutions for enterprise reporting, analytics, and AI applications.

Disruptor: Grupo Casas Bahia

Grupo Casas Bahia, one of Brazil’s most prominent retailers, serves millions of customers across online platforms and 1,000 physical stores. As the company scaled, its legacy data infrastructure became a bottleneck to innovation, access to insights and fast decision-making. Casas Bahia has transformed its data culture by migrating to the Databricks Data Intelligence Platform and embracing AI/BI Genie, making insights accessible to all employees.

Technical and non-technical users are directly accessing data insights through natural language queries in Microsoft Teams, while leveraging Databricks Assistant to automate ETL script conversion and upskill non-technical employees. With Genie, employees ask questions and receive instant, actionable insights. By embedding Genie directly into Microsoft Teams using the Genie Conversation API, Casas Bahia empowers employees across all departments to access and analyze data in their daily workflow. What previously took hours is now done in just minutes.

Recent achievements include identifying top-moving product categories and forecasting potential stockouts. Sales teams analyze trends and inventory positions that influence marketing and operational decisions. Casas Bahia is building a modern, scalable, and inclusive data culture while empowering all employees to make smarter, faster, data-driven decisions and driving innovation across the organization.

For Good: Lingokids

Lingokids, the globally recognized #1 interactive app for children, has always been at the forefront of innovation in education. With over 168 million families using the app, Lingokids combines play and learning to foster essential skills in young learners. Behind this success lies a powerful data-driven strategy, enabling a mission to provide accessible, high-quality education for children worldwide.

Lingokids migrated its cloud data platform to the Databricks Data Intelligence Platform. By leveraging a serverless, elastic architecture, they saw a 40% reduction in costs and cut their data processing time by 33%. The improved performance enables Lingokids to analyze data in near real-time while consolidating data ingestion, analytics, and machine learning workloads on a single platform, streamlining operations and improving collaboration across teams.

Machine learning recommendation models create tailored personalized educational content, and unlike typical engagement-driven algorithms, these models strictly adhere to an educational curriculum curated by experts. This ensures that recommendations focus on skill development rather than maximizing screen time, avoiding addictive behaviors.

By aligning machine learning models with expert-designed curricula, Lingokids ensures that every interaction contributes to a child’s development in STEM, literacy, and socio-emotional skills. By embracing a unified approach to data and AI workloads, Lingokids is optimizing its operations while shaping the future of learning for millions of children worldwide.

GenAI Innovation: Molson Coors

Molson Coors Beverage Company, a leader in the global beverage industry, is leveraging generative AI to transform its operations. They’ve developed an AI agent creation accelerator that transforms LLM application development by automating the building and deployment of production-ready AI agents, setting a new standard for enterprise AI in their industry.

By leveraging MLflow, LangGraph/Langchain, Pandas, and Pydantic within Databricks, Talk2LLM, Molson Coors’s AI agent creation accelerator handles complex infrastructure from model management and vector stores to chain generation/deployment and agent creation for multi-agent systems. By abstracting away complex LLM infrastructure and standardizing enterprise best practices, Talk2LLM empowers teams to focus on business value creation, reducing typical AI solution development time by 90% while maintaining production-grade reliability and security controls.

Whether teams are processing massive datasets in ML pipelines, building RAG-enabled chatbots, or orchestrating complex Chain-of-Thought agents, Talk2LLM provides a unified interface for rapid development and deployment of enterprise AI solutions. Next, the Molson Coors team is looking at creating a Sales Insights Generator using the agent to blend historical performance data, sales stories, brand and channel messaging, and predictive modeling to tailor recommendations that improve conversations with retailers and inform category strategies. Molson Coors is redefining how data-driven insights are generated and applied across its business.

Excellence Award AMER: AT&T

AT&T is dedicated to providing its 118 million wireless customers with secure, reliable and frictionless communications. With 7 million daily transactions, staying ahead of fraudsters requires a sophisticated approach to data and AI. By modernizing their data infrastructure in the cloud with the Databricks Data Intelligence Platform, AT&T implemented a unified approach to data and AI, and the benefits are adding up.

With over 70 machine learning models in production, AT&T uses real-time data, automatic alerts and recommendations to arm employees across its operations and stop fraud before it happens. More than 900 million datapoints are analyzed daily in near real time to mitigate fraud at the point of sale. They’ve already achieved up to an 80% reduction in fraud with advanced detection capabilities. Through AT&T’s Center of Excellence, employees are trained on data tools and empowered to spot fraud in call centers, stores, and online.

More than 500 active weekly users of the platform across several business units are benefiting from access to data analytics and fostering collaboration between teams. Data science cycles are three times faster, enabling faster machine learning model development and workflows for data scientists and engineers have increased by 50%. AT&T’s commitment to cloud data platform and generative AI initiatives puts them at the forefront of customer experience and operational analytics innovation.

Excellence Award EMEA: ASDA

ASDA serves millions of customers in more than 1,000 locations weekly through its supermarkets, convenience stores and petrol stations across the United Kingdom. Over the past 12 months, ASDA has made significant progress developing a data intelligence platform that powers its operations, physical stores, customer rewards programs, and personalization efforts.

With real-time data pipelines powered by Lakeflow, ASDA is undergoing a massive change to streamline its supply chain, reduce decision-making latency, and ensure product availability across its stores. ASDA uses Unity Catalog to govern its data assets and ensure secure access, data lineage tracking, and compliance while driving efficient data discovery and auditing for teams across the organization.

Mosaic AI and Genie enable ASDA to deliver change at pace, such as personalised shopping experiences by analyzing customer behavior and preferences using sophisticated AI models. Developments across store operations are focused on efficiency improvements, harnessing the integration of AI/BI tools, with a vision to democratize actionable insights across inventory management, sales forecasting, and operational efficiency in stores. By leveraging advanced analytics, ASDA personalizes offers through its customer loyalty program and delivers the best marketing offers for returning customers. ASDA harnesses a modern data intelligence platform to differentiate in a highly competitive marketplace. It is delivering on its mission to provide value for working families across the United Kingdom.

Excellence Award APJ: BUPA AU

Bupa is a global healthcare provider committed to improving health outcomes worldwide. The company is transforming its data ecosystem and analytics capabilities in Australia to drive innovation, enhance operational efficiency, and enable personalised, preventative healthcare.

Recognising data as a strategic asset, Bupa Australia has fostered a culture of data-driven decision-making by equipping its people with the tools and access to turn insight into impact with the Databricks Data Intelligence Platform.

Moving to Databricks enabled Bupa to establish a single source of truth for millions of customer records. By achieving an 8x increase in data ingestion, Bupa empowered its data professionals and over 175 business users to generate faster, better decisions – all on Bupa’s most secure and governed platform.

Operational efficiency has also scaled significantly. Bupa implemented a fully governed MLOps framework, enabling multiple data science teams to deploy machine learning models quickly, securely and at scale. Additionally, Bupa harnessed Generative AI (GenAI to accelerate the migration from a legacy SAS Analytics platform to Databricks – completing in months what was expected to take years.

This transformation goes far beyond infrastructure. With innovations, the Customer Matching Engine, Bupa creates a unified “golden” customer record to personalise services across its product suite. Bupa is also pioneering the digital health twin: a virtual representation of an individual’s health profile that integrates their medical history, lifestyle factors, and real-time wearable data to support faster, more holistic insights. Through predictive analytics, Bupa AU can identify at-risk individuals earlier, enabling interventions to prevent chronic conditions. Meanwhile, Generative AI helps summarize complex patient information in seconds, reducing cognitive load for clinicians and freeing up time for patient care. With customer-centricity key, the platform is designed to protect the data and privacy of customers.

None of this would be possible without people. Bupa AU is dedicated to empowering teams to focus on high-value, human-centred work. By fostering a culture of innovation, teams are equipped to solve problems faster, scale ideas quickly, and deliver lasting impact.

Bupa Australia’s Chief Data Officer, Ed Falconer, and his team are leading Bupa’s transformation to a data-driven healthcare organization, and with data as the backbone to Bupa’s strategy, Databricks is supporting Bupa to deliver to its purpose of helping customers live longer, happier, healthier lives.

Excellence Award LATAM: Banco de Credito del Peru and Yape

Banco de Crédito del Perú (BCP), Peru’s largest financial institution, has over 133 years of history and serves more than 6 million clients through its extensive network of 8,340 points of contact. As part of Credicorp Group, BCP plays a pivotal role in the country’s financial ecosystem.

Yape, launched by BCP in 2016, is Peru’s leading digital payment platform with over 15 million active users. It has transformed digital payments by offering seamless peer-to-peer transfers, business payments, and QR code transactions, driving financial inclusion for unbanked communities.

Both companies have embraced the Databricks Data Intelligent Platform to foster a data-driven culture. BCP successfully migrated 700 terabytes of data in just nine months, reducing procedure times by 87% and enabling faster analytics. With Unity Catalog, BCP democratized secure data access for over 4,000 users while unlocking advanced AI and ML capabilities through Lakehouse architecture.

Visionary Award: Mastercard

Mastercard's AI & Data organization stands at the forefront of the company’s transformation into an AI technology powerhouse. Greg Ulrich, Mastercard’s Chief AI & Data Officer, leads a critical team shaping the approach to leveraging and integrating AI and data across all business lines. The team’s mandate includes commercializing internal and external AI applications and overseeing enterprise-wide data governance, ensuring that every innovation aligns with Mastercard’s rigorous standards. Mastercard has thousands of data scientists, engineers and consultants who focus on data and AI. It is deeply committed to investing in its people and ensuring they are well-equipped with AI and data knowledge and skills.

One of Mastercard's most exciting projects is its new Mastercard Assist Platform, a generative AI-powered tool built on the Databricks Data Intelligence Platform. This assistant uses cutting-edge technologies like Retrieval Augmented Generation (RAG) and fine-tuning to automate routine onboarding tasks and answer critical customer queries. By drawing on Mastercard’s proprietary onboarding documentation, the assistant delivers fast, accurate responses, dramatically improving the speed and reliability of onboarding new payment methods. A key innovation is the human-in-the-loop approach, where subject matter experts continuously provide feedback to refine the assistant’s learning. This ensures the tool evolves with Mastercard’s needs while maintaining the highest standards of accuracy and compliance. By building this capability in-house, Mastercard eliminated the need for third-party solutions, streamlining operations and reinforcing data governance.

Mastercard processes over 159 billion transactions annually, using AI to detect security threats and provide actionable insights to partners. Mastercard’s vision is clear: leverage AI not just for operational efficiency, but to set new industry standards for trust, privacy, and customer value. Mastercard is poised to lead the financial services sector in responsible, innovative technology adoption as it expands its suite of AI-driven tools.

Champion Award: Haley Creech, GSK

At GSK, the purpose to unite science, technology, and talent to get ahead of disease is more than a slogan—it's a daily reality enabled by tech, including data and artificial intelligence. Haley Creech, Senior Director of Enterprise Data & AI, has been a driving force behind this success. Her leadership has enabled GSK to scale Databricks Data Intelligence Platform adoption across the organization, empowering over 100 projects while driving increased internal adoption each year. Haley’s forward-thinking approach has positioned GSK as a pioneer in AI-driven solutions. Her work has not only enhanced customer engagement but also improved patient outcomes on a global scale.

Creech led the rollout of Unity Catalog, significantly reducing data onboarding times and enhancing compliance reporting. This has streamlined data governance and enabled secure, compliant data access for teams across GSK. Implementing Genie Spaces has improved operational efficiency and accelerated customer query resolution, leading to faster insights and better service for internal and external stakeholders.

Creech’s leadership exemplifies how strategic investment in data platforms and AI can transform a global organization. By fostering a culture of innovation and collaboration, she continues to ensure that GSK remains at the forefront of healthcare technology, delivering better results for patients and customers worldwide.

Learn more about the Data Intelligence Awards.