Whether or not it’s streamlined ingestion, unified governance or AI agent analysis, the suite of options obtainable on the Knowledge Intelligence Platform allows companies worldwide to drive transformative, real-world outcomes from information and AI.
This impression was on full show at Knowledge + AI Summit. Lots of of consumers, together with 7-Eleven, Fox Sports activities and Rivian, detailed how they’re utilizing Databricks to streamline operations, cut back danger, and in the end unlock new progress alternatives.
Under is a listing of the use instances shared on the convention, organized by monitor.
On-Website Experiences
NOV makes use of the Knowledge Intelligence Platform to course of greater than 3 terabytes of real-time information every day to optimize selections, cut back danger, and enhance effectivity. Its scalable platform powers predictive operations throughout complicated environments — enabling sooner, extra assured selections, safer outcomes, and innovation for the power trade and past.
7-Eleven makes use of the Knowledge Intelligence Platform to construct a multipurpose agentic advertising assistant that tracks retailer efficiency insights throughout 13,000+ shops with compound AI programs, simplifies Unity Catalog migration with data-driven assessments and workflows guiding every step, and boosts technician productiveness with RAG and embeddings to rapidly floor solutions from manuals.
Insulet deploys Databricks to unify its information ecosystem to modernize manufacturing and drive sooner, extra environment friendly operations, resulting in 12x sooner real-time information processing with automated ingestion from Salesforce and SAP, 83% fewer SQL queries after changing outdated ETL with Lakeflow, and 97% decrease TCO by eliminating third-party ETL instruments and batch processing
Mastercard makes use of Databricks to deploy AI responsibly and join insights throughout groups, platforms and companions. The corporate automates buyer help with a GenAI onboarding assistant, dietary supplements domain-specific AI brokers with human-in-the-loop suggestions, unifies information governance, and accelerates iteration throughout the enterprise.
Tonal depends on Databricks to personalize each session and monitor person progress. With Databricks, Tonal makes use of real-time information streaming and real-time suggestions on progress to supply post-workout evaluation, analyzes historic exercise information to advocate goal exercise ranges for the upcoming week, and tags motion, units and velocity to align exercises with coaching objectives.
Fox Sports activities leverages Databricks to make AI-powered search really feel like a part of the sport — quick, sensible and constructed for followers. The corporate constructed Cleatus AI: a go-to sports activities assistant that chats in pure language with dwell scores, stats and commentary. AI-powered search led to 2x larger question success charge for followers searching for quick, related outcomes.
Danone partnered with Databricks to assist construct a basis to scale AI, enhance information high quality, and velocity selections by as much as 30%. Amongst different outcomes, Danone can share information extra securely and effectively throughout international groups, equip groups to discover information in pure language with AI-powered instruments and share information securely throughout areas with built-in governance and management.
Virgin Atlantic leverages Databricks to place GenAI to work, together with automated pricing and personalised service, to allow groups to make use of their information extra fluently with pure language and analyze related information by means of centralized information domains, like flights, prospects and pricing, amongst different capabilities.
Arctic Wolf leverages Databricks to help its AI-driven cybersecurity for seamless safety and unmatched resilience. Amongst different capabilities, ETL pipelines course of billions of occasions every day with high-throughput, low-latency ingestion and evaluation, and ML and behavioral analytics detect anomalies, threats and complicated assaults extra successfully.
Trek makes use of Databricks to shift from a legacy warehouse to sooner information, international visibility and decrease value, together with 80% acceleration in time-to-retail-analytics outcomes and 65% discount in time to refresh information.
Joby makes use of Databricks to help its electrical air taxi, pushing real-time take a look at information to builders and engineers throughout groups, accelerating prototyping with AI mannequin serving and LLM integration and supporting safe collaboration in a single unified platform.
Analytics and BI
Experian depends on AI/BI Genie for generative analytics and Agent Studio for artificial take a look at case era to validate mannequin efficiency.
Watch: Shifting Left — Organising Your GenAI Ecosystem to Work for Enterprise Analysts
Premier Inc. makes use of Databricks AI/BI Genie, together with Unity Catalog, to generate complicated SQL, as a lot as 10 instances sooner than writing it by hand. Now, the healthcare supplier plans to scale Genie to as many as 20,000 customers throughout a whole lot of hospitals to reinforce the care they supply to the communities they serve.
Watch: AI and Genie: Analyzing Healthcare Enchancment Alternatives
Conagra integrates Databricks Genie with conventional BI experiences to go from perception to motion sooner and with fewer clicks, enabling velocity to worth in a fancy Provide Chain. This permits the workforce to curate information merchandise to be consumed by conventional BI purposes and quickly scale for the AI/ML purposes of tomorrow.
Watch: AI/BI Driving Pace to Worth in Provide Chain
J. Goldman & Co. depends on Databricks’ computational energy and Unity Catalog’s safe governance to get rid of bottlenecks and obtain the quickest time-to-market for vital investor selections.
Watch: Trillions of Knowledge Data, Zero Bottlenecks for Investor Determination-Making
Spencer Presents makes use of Databricks SQL and Unity Catalog to broaden past ad-hoc querying into SQL Editor/notebook-driven growth to scheduled information pipelines producing interactive dashboards.
Watch: Analyst Roadmap to Databricks: From SQL to Finish-to-Finish BI
HP Print makes use of Databricks Genie and Mosaic AI to create a real-time insights engine to automate SQL era, information visualization, and narrative creation.
T-Cell deployed Databricks Genie Rooms to assist democratize entry to essential datasets, like cell tower and lease info.
Plotly Sprint migrated Octave’s backend to Databricks to handle more and more huge scale, governance and safety necessities.
Optiver harnesses Databricks Apps to energy its dwell buying and selling dashboards, enabling merchants to investigate market information, detect patterns and reply immediately.
Rooms to Go integrates Databricks AI/BI Genie with Microsoft Groups to allow warehouse workers and members of the gross sales workforce to work together with information utilizing pure language. This enhances organizational collaboration and simplifies information exploration and evaluation. By connecting Genie to Microsoft Groups, the corporate brings real-time information insights on to a person’s cellphone.
Watch: Empowering Enterprise Customers With Databricks — Integrating AI/BI Genie With Microsoft Groups
Zillow makes use of Databricks Asset Bundles and GitLab CI/CD to create performant dashboards which can be confidently used for mission-critical operations. The web actual property hub makes use of this strategy to automate its on-call help evaluation, leveraging its dashboard growth technique alongside Databricks LLM choices to create a complete view that gives actionable efficiency metrics alongside AI-generated insights and motion objects from the a whole lot of requests that make up Zillow’s help workload.
Watch: Constructing Dashboards as a Manufacturing-Grade Knowledge Product
IQVIA carried out the Databricks Knowledge Intelligence Platform to enhance question efficiency and price effectivity, drive strong governance, and guarantee operational effectiveness and regulatory compliance in an more and more complicated setting.
Synthetic Intelligence
The Navy makes use of Databricks Workflows, MLflow, Delta Lake and Apache Spark™ to construct a data-driven mannequin that predicts which monetary transactions are most probably to have errors, streamlining critiques and growing accuracy. In FY24, it helped overview $40 billion and free $1.1 billion for different priorities, together with $260 million from energetic tasks. It additionally saved 218,000 work hours and $6.7 million in labor prices.
Watch: Empowering the Warfighter With AI
Activision makes use of the Knowledge Intelligence Platform to course of 30 million rows of knowledge per hour to detect superior cheats in its Name of Responsibility recreation.
Watch: Machine Studying Aimbot Detection in Name of Responsibility
Nationwide Australia Financial institution transitioned to a contemporary, cloud-based information and AI platform powered by Databricks. The 2-year course of concerned ingesting 16 information sources, transferring 456 use instances, and collaborating with a whole lot of customers throughout 12 enterprise models. This strategic transfer positioned NAB to leverage the complete potential of cloud-native information analytics, and enabled extra agile and data-driven decision-making throughout the group.
Watch: Dusting off the Cobwebs — Shifting off a 26-year-old Heritage Platform to Databricks
Vizient leverages Databricks Asset Bundles in its standardized MLOps stack to create reproducible, scalable pipelines.
Watch: MLOps That Ships: Accelerating AI Deployment at Vizient with Databricks
adidas leverages Databricks instruments like Mosaic AI’s deployment capabilities, Mosaic AI Gateway, and MLflow to construct a scalable GenAI agentic infrastructure that delivers actionable insights from rising 2 million product critiques yearly. The exceptional outcomes embrace a 60% latency discount, 91.67% value financial savings, 98.5% token effectivity, and 20% improve in productiveness.
Watch: The Subsequent Wave of AI Purposes Pushed by Agentic Workflow at Adidas Utilizing Databricks
Sensible Inbox leverages Databricks’ highly effective information and AI ecosystem to combine semantic evaluation, giant language fashions and distributed computing to reinforce classification precision and cut back guide processing efforts.
Watch: Sensible Inbox: A Slicing-Edge AI for Automated Buyer E mail Classification by ENGIE
The Advantage Basis makes use of Unity Catalog as a basis to help utilizing superior Gen AI with Mannequin Serving, Vector Search and MLflow to transform how the group mapped volunteer well being sources with the correct areas and services.
Watch: Study How the Advantage Basis Saves Lives by Optimizing Well being Care Supply Throughout the Globe
Expedia Group adopted Databricks as a central hub to assist scale AI mannequin coaching and prediction era to ship high-quality insights for purchasers. The corporate seamlessly integrates Databricks’ highly effective options into its ecosystem, streamlining workflows and accelerating time to market. And the soundness and reliability will increase effectivity in prototyping and working scalable manufacturing workloads.
Watch: Three Huge Unlocks to AI Interoperability With Databricks
ServiceNow harnesses the facility of Databricks to reimagine its Go-To-Market (GTM) methods, seamlessly integrating AI at each stage of the deal journey — from figuring out high-value results in producing hyper-personalized outreach and pitch supplies.
Watch: ServiceNow ‘Walks the Discuss’ With Databricks: Revolutionizing Go-To-Market With AI
Prada Group leverages Mosaic AI to suggest an interactive and pure language product discovery functionality that’s anticipated to enhance its e-commerce search bar.
Watch: GenAI-Powered Purchasing Assistant for Prada e-Commerce Search Bar
Lovelytics leverages the Databricks Knowledge Intelligence Platform to construct a scalable compound AI structure for automated taxonomy era.
Watch: Automating Taxonomy Era With Compound AI on Databricks
Arize makes use of MLflow and Databricks Mosaic AI to judge and enhance high-performing AI brokers.
Watch: Self-Bettering Brokers and Agent Analysis With Arize & Databricks ML Circulate
Datavant leverages Databricks to centralize storage of medical information, and rework it into structured, AI-ready information to shave off 80% off of the work of deploying a brand new AI use case.
Watch: Fixing Well being AI’s Knowledge Drawback
AT&T and Databricks constructed AT&T AutoClassify, a novel end-to-end system for computerized multi-head binary classifications from unlabeled textual content information. The result’s a extremely optimized and low-cost mannequin servable in Databricks that’s able to taking uncooked textual content and producing a number of binary classifications.
Watch: AT&T AutoClassify: Unified Multi-Head Binary Classification From Unlabeled Textual content
Sportsbet leverages Generative AI inside Databricks options to allow automated evaluation of cluster logs, useful resource consumption, configurations, and codebases to supply Apache Spark™ optimization recommendations.
Watch: Kill Invoice-ing? Revenge is a Dish Finest Served Optimized with GenAI
Medical doctors With out Borders/Médecins Sans Frontières (MSF) makes use of Databricks Mosaic AI and Unity Catalog to investigate donor conduct, predict giving patterns and personalize outreach, growing contributions whereas upholding moral AI ideas.
Watch: Empowering Fundraising With AI: A Journey With Databricks Mosaic AI
First American Knowledge & Analytics makes use of the Knowledge Intelligence Platform to revolutionize its information extraction processes with batch inference to beat the challenges of extracting information from thousands and thousands of historic title coverage pictures and cut back venture timelines by 75%.
Watch: Remodeling Title Insurance coverage With Databricks Batch Inference
DraftKings leverages Databricks to energy its fraud detection pipeline, integrating real-time streaming, machine studying and rule-based detection to allow fast mannequin coaching, real-time inference and seamless characteristic transformation throughout historic and dwell information.
Watch: Scaling Actual-Time Fraud Detection With Databricks: Classes From DraftKings
Scribd makes use of Databricks Workflows, Mannequin Serving, Serverless Compute, and Notebooks to construct an AI inference pipeline processing thousands and thousands of paperwork.
Watch: Scaling GenAI Inference From Prototype to Manufacturing: Actual-World Classes in Pace & Value
Nikon leverages Databricks’ unified information and AI platform to develop and deploy an automatic, scalable answer for accent gross sales planning, together with utilizing MLflow to automate mannequin logging and versioning, enabling environment friendly administration and scalable deployment.
Coinbase leverages Databricks to scale ML on blockchain information, turning huge transaction networks into actionable insights.
Watch: Scaling Blockchain ML With Databricks: From Graph Analytics to Graph Machine Studying
Experian depends on instruments like Unity Catalog, Agent Analysis, and different Databricks options to construct adaptive RAG programs that produce extra tailor-made outputs with larger accuracy.
Watch: Superior RAG Overview — Thawing Your Frozen RAG Pipeline
Vizient constructed a standardized MLOps stack utilizing Databricks, Azure DevOps and GitHub Actions to streamline AI mannequin growth, deployment and monitoring.
Watch: Accelerating Mannequin Deployment With Databricks MLOps Stacks at Vizient
TwelveLabs makes use of NVIDIA NeMo Framework Megatron-LM on Databricks in its Pegasus-1 mannequin.
Watch: Accelerating Mannequin Improvement and Superb-Tuning on Databricks with TwelveLabs
7-Eleven used Databricks Mosaic AI and LangGraph to construct a multi-purpose AI assistant that assumes totally different personas primarily based on the person question to assist with marketing campaign era, copywriting, and different use instances.
Windfall Well being used Databricks Mosaic AI to construct a customized chatbot that performs the position of affected person and coach. The bot offers a scaling studying expertise to assist medical suppliers hone their abilities at interacting with sufferers throughout emotionally charged end-of-life interactions.
Acxiom constructed an AI-powered advertising information administration platform on Databricks that solves the issue of incomplete, inconsistent, and inaccurate info that limits marketing campaign effectiveness and reduces the accuracy of AI brokers.
Moody’s tapped Databricks, together with MLflow LLM-as-judge and Unity Catalog, to assist construct its AI Screening Agent, which automates processes important for Know Your Buyer (KYC) and compliance due diligence throughout buyer onboarding.
Watch: Moody’s AI Screening Agent: Automating Compliance Choices
Rivian Automotive, LLC makes use of Databricks options to assist construct its scalable ML mannequin that enhances real-time cost predictions in car controls, together with Unity Catalog for information governance, Delta Tables for storage, and Liquid Clustering for information structure.
Watch: Optimizing EV Charging Expertise: Machine Studying for Correct Cost Time Estimation
Novo Nordisk constructed FounData, its medical trial platform, on Databricks, offering correct information structure to allow superior AI purposes.
Watch: Sufferers Are Ready…Accelerating Healthcare Innovation With Knowledge, AI and Brokers
Petrobras revolutionized its MLOps framework utilizing MLflow, Databricks Asset Bundles (DABs) and Unity Catalog to exchange error-prone guide validation with automated metric-driven workflows, cut back mannequin deployment timelines from days to hours and set up granular governance and reproducibility throughout manufacturing fashions.
Watch: Petrobras MLOps Transformation With MLflow and Databricks
CVS constructed a complicated bot detection system on the Databricks Knowledge Intelligence Platform, which leverages cutting-edge AI/ML capabilities to detect and mitigate bot assaults in close to actual time.
Watch: Actual-Time Botnet Protection at CVS: AI-Pushed Detection and Mitigation on Databricks
Exyte constructed a generative AI-powered assistant on the Databricks Knowledge Intelligence Platform that helps our groups confirm code compliance extra effectively and precisely.
Watch: ReguBIM AI – Remodeling BIM, Engineering, and Code Compliance with Generative AI
State Road companions with Databricks to pioneer a brand new commonplace in monetary sector enterprise AI, balancing fast AI democratization with strict regulatory and safety necessities. Powered by Databricks, real-time observability calculates danger and accuracy metrics to detect points earlier than escalation, whereas mannequin internet hosting ensures scalable LLM entry, fortifying safety and effectivity.
Watch: Accountable AI at Scale: Balancing Democratization and Regulation within the Monetary Sector
Knowledge and AI Governance
7-Eleven makes use of UCX by Databricks Labs, a Unity Catalog transition assistant, to leverage assessments, workflows and different options to evaluate, characterize, and in the end plan a tenable UC migration.
Northwestern Mutual leverages Databricks to ship and consider guardrail fashions for AI security, from immediate engineering with customized constructed frameworks, to internet hosting fashions served from the market place and past.
Watch: Constructing Reliable AI at Northwestern Mutual: Guardrail Applied sciences and Methods
Unipol deployed Unity Catalog as a pivotal instrument within the every day use of its information platform, providing a unified governance answer that helps information administration throughout numerous AWS environments.
Watch: Leveraging Databricks Unity Catalog for Enhanced Knowledge Governance in Unipol
FedEx makes use of Unity Catalog to beat challenges in information governance and safety, guaranteeing that delicate info remained protected whereas nonetheless permitting acceptable entry throughout the group. This led to elevated information literacy throughout the corporate, sooner time-to-insight for enterprise selections, and important cost-savings by means of improved operational effectivity.
Watch: How FedEx Achieved Self-Serve Analytics and Knowledge Democratization on Databricks
BP adopted Unity Catalog to rework its enterprise-wide information technique, breaking down silos whereas sustaining strong governance and safety.
Watch: Low-Emission Oil & Fuel: Engineering the Stability Between Clear and Dependable
T-Cell deployed Databricks to handle 100s of terabytes every day, together with Delta Lake for scalable structure and Unity Catalog for auto-scaling clusters, efficiency optimization by means of information partitioning and caching and complete information governance. In the end, these methods empowered T-Cell to innovate, streamline operations and maximize information impression throughout community optimization, supporting the group, power administration and extra.
Watch: Managing Databricks at Scale
CoorsTek companions with Databricks to leverage the facility of Unity Catalog to handle regulatory challenges whereas attaining important operational effectivity features.
Watch: Mastering Knowledge Safety and Compliance: CoorsTek’s Journey With Databricks Unity Catalog
Corning deployed Unity Catalog to optimize platform utilization and obtain important value reductions. Because of this, the corporate has gained complete visibility and governance over its information property, resulting in extra knowledgeable decision-making and environment friendly useful resource allocation.
Watch: How Corning Harnesses Unity Catalog for Enhanced FinOps Maturity and Value Optimization
State Road depends on the Databricks Knowledge Intelligence Platform to handle and analyze numerous safety information, enabling the corporate to: effectively handle structured and unstructured information, scale as much as analyze 50 petabytes of knowledge in real-time, ingest and parse information for vital safety information streams, construct superior cybersecurity information merchandise, and use automation to streamline cybersecurity operations.
Capital One leverages Delta Lake, Apache Spark™ Streaming, and Databricks instruments to construct a detection and correlation engine that may course of thousands and thousands of cybersecurity occasions per second.
Morgan Stanley companions with Databricks on a fully-managed compute and storage answer that helps the corporate in assembly its regulatory obligations with considerably diminished effort. This revolutionary strategy allows fast onboarding of recent tasks onto the platform, and improved operational effectivity whereas sustaining the best ranges of safety and compliance.
Watch: Enhancing Effectivity With Safety: How Morgan Stanley is Adopting a Totally-Managed Lakehouse
SAP makes use of Anvilogic on Databricks to undertake a modular, AI-powered detection engineering lifecycle.
Navy Federal Credit score carried out Unity Catalog to supply an alternate path for accessing analytic semantic information from its information lake, in addition to to take away duplicate information property saved throughout a number of lakes, saving a whole lot of hundreds of {dollars} in information engineering efforts, compute and storage prices.
Westat carried out a centralized Databricks platform to help a whole lot of analysis tasks for presidency, foundations, and personal shoppers. This unified strategy offers full monetary visibility and governance whereas empowering information groups to ship worth.
Watch: FinOps: Automated Unity Catalog Value Observability, Knowledge Isolation and Governance Framework
Coinbase constructed a graph question engine on prime of Databricks that allows complicated traversal of huge observability information, to assist customers hint service dependencies, analyze upstream/downstream impacts, and uncover recurring error patterns, making it simpler to diagnose points and optimize system efficiency.
Watch: Graph-Powered Observability Knowledge Evaluation in Databricks With Credential Merchandising
Rabobank Credit score makes use of Unity Catalog to transition to a safe, audit-ready information structure, and tackle vital regulatory challenges in credit score analytics.
Watch: Remodeling Credit score Analytics With a Compliant Lakehouse at Rabobank
Arctic Wolf makes use of Databricks to get rid of information silos and improve its MDR pipeline to research suspicious risk actors for purchasers.
Watch: How Arctic Wolf Modernizes Cloud Safety and Enhances Risk Detection with Databricks
Marvell faucets the Databricks Knowledge Intelligence Platform to energy its AI-driven options, offering a sturdy framework for safe, compliant and clear information and AI workflows. Specifically, Unity Catalog ensures centralized administration of knowledge and AI property with high quality, safety, lineage and governance guardrails.
Watch: Semiconductor AI Success: Marvell’s Knowledge + AI Governance
Nubank migrated to Unity Catalog to handle the wants of their large-scale information setting. This resulted in improved information governance capabilities, enhanced safety measures and a extra user-friendly expertise for the corporate’s giant person base, in the end main to raised management and utilization of Nubank’s huge information sources.
Watch: How Nubank improves Governance, Safety and Consumer Expertise with Unity Catalog
Amgen adopted Databricks because the de facto commonplace for governance on structured information, establishing a unified, safe entry management system with enhanced traceability, constant entry requirements and complete auditing.
Watch: Remodeling Knowledge Governance for Multimodal Knowledge at Amgen With Databricks
Hinge Well being leverages Unity Catalog to deploy fine-grain entry controls to help HIPAA compliance with out compromising flexibility and collaboration.
Schiphol Group depends on Databricks to raise its information operations, transitioning from an ordinary setup to the superior capabilities of Unity Catalog.
Watch: Schiphol Group’s Transformation to Unity Catalog
PepsiCo unifies its information and AI property below Unity Catalog, enabling safe collaboration even for groups outdoors Databricks.
Watch: Powering Safe and Scalable Knowledge Governance at PepsiCo With Unity Catalog Open APIs
Atlassian leverages Unity Catalog for fine-grained governance, enabling row and column stage safety at scale.
Watch: Reimagining Knowledge Governance and Entry at Atlassian
PicPay makes use of Unity Catalog to centralize metadata administration, help regulatory compliance and management information entry throughout a number of platforms.
Nationwide Australia Financial institution depends on Databricks to reshape its information and AI technique by positioning information as a strategic enabler. Unity Catalog, Serverless, Gen AI, and Lakeflow underpin key architectural, safety, and governance capabilities.
Watch: Scaling Knowledge Intelligence at NAB: Balancing Innovation with Enterprise-Grade Governance
Knowledge Engineering and Streaming
Adobe leverages Apache Spark Streaming and Delta Lake, together with over 25 Databricks deployments throughout a number of areas and clouds, in its Actual-Time Buyer Knowledge Platform to course of terabytes of knowledge every day and deal with over 1,000,000 data per second.
Watch: Scaling Identification Graph Ingestion to 1M Occasions/Sec with Spark Streaming & Delta Lake
HP Inc. makes use of Databricks serverless compute and Lakeflow Declarative Pipelines to streamline Adobe Analytics information ingestion, making it sooner, cheaper and simpler to function.
SEGA adopted Lakeflow Declarative Pipelines to simplify complicated streaming pipelines, in addition to help automated schema evolution, easy information high quality administration and seamless streaming reliability.
Watch: Unlocking Streaming Energy: How SEGA Wins With Lakeflow Declarative Pipelines
Zillow makes use of Databricks Lakeflow Declarative Pipelines to implement scalable, production-grade information high quality.
Elliptic depends on Structured Streaming, Delta Lake and different Databricks options to essentially change the way in which it delivers user-facing analytics to enhance not solely velocity and scalability, but in addition allow analytics to immediately improve the accuracy and intelligence of its operational programs.
Barracuda’s XDR adopted Databricks as the muse of its safety analytics platform to larger management and suppleness, in addition to decouple from conventional SIEM instruments. The corporate leverages Lakeflow Declarative Pipelines, Spark Structured Streaming and detection-as-code CI/CD pipelines to construct a real-time detection engine that enhanced scalability, accuracy and price effectivity.
Watch: How Databricks Powers Actual-Time Risk Detection at Barracuda XDR
Insulet leverages Databricks AI options to repair code and help in writing complicated queries. Integrating Apache Spark™ with Databricks additionally simplifies setup and reduces prices, whereas Databricks Lakeflow Join allows real-time updates.
Watch: From Code to Insights: Leveraging Superior Infrastructure and AI Capabilities
Earnin faucets Lakeflow Declarative Pipelines and Databricks AI/BI to construct its GenAI observability platform.
Watch: GenAI Observability in Buyer Care
DraftKings makes use of Spark Structured Streaming, Apache Kafka, and Databricks Dashboards to rework uncooked simulation outputs into actionable information to allow fine-grained management over pricing, resulting in extra correct odds, a extra environment friendly sportsbook, and an elevated buyer expertise.
Watch: Constructing Actual-Time Sport Mannequin Insights with Spark Structured Streaming
Lennox makes use of a number of instruments on the Databricks Knowledge Intelligence Platform, together with Apache Spark and Delta Lake, to investigate real-time information from HVAC installations to establish discrepancies between design specs and subject efficiency, permitting engineers to optimize algorithms, cut back inefficiencies and enhance buyer satisfaction.
Watch: Genie for Engineering: Optimizing HVAC Design and Operational Insights With Knowledge and AI
Bayada consolidated Snowflake and different programs right into a Databricks-powered Enterprise Knowledge Platform that’s anticipated to scale back information processing instances by 35%, enhance reporting accuracy and lower reconciliation efforts by 40%, decrease operational prices by 20%, and use real-time analytics to spice up effectivity by 15%.
Watch: Bayada’s Snowflake-to-Databricks Migration: Remodeling Knowledge for Pace & Effectivity
Quantum Capital Group makes use of Delta tables, Apache Spark™ SQL, and Unity Catalog to construct a golden dataset that powers proprietary analysis fashions and automates complicated workflows. With Databricks, information is seamlessly curated, enriched and distributed — each internally and to exterior stakeholders — in a safe, ruled and scalable manner.
Watch: De-Risking Funding Choices: QCG’s Smarter Deal Analysis Course of Leveraging Databricks
Stack Overflow makes use of Databricks Asset Bundles (DABs) to optimize its information engineering workflows for scalable and environment friendly pipeline deployments.
Watch: Harnessing Databricks Asset Bundles: Remodeling Pipeline Administration at Scale at Stack Overflow
The International Water Safety Heart makes use of a lakehouse structure, Auto Loader, Apache Spark™ Streaming, Spatial SQL, H3 geospatial indexing and Databricks Liquid Clustering to translate environmental science into actionable insights for the U.S. Division of Protection in a matter of seconds, as a substitute of a number of enterprise days. The group additionally incorporates Databricks Workflows, Databricks Asset Bundles, Git and Git Actions to help CI/CD throughout workspaces.
Watch: From Days to Seconds — Decreasing Question Instances on Giant Geospatial Datasets by 99%
Bradesco Financial institution makes use of the Databricks Knowledge Intelligence Platform to energy its new in-house Buyer Knowledge Platform. Utilizing instruments like Uniform and Lakeflow Declarative Pipelines, the corporate will increase information integrity, reduces latency and processing time and, most significantly, boosts private productiveness and enterprise agility.
Watch: Remodeling Buyer Processes and Gaining Productiveness With Lakeflow Declarative Pipelines
Globe Telecom depends on Databricks Workflow to transition from fragmented processes to an built-in, scalable system. For instance, constructing automated pipelines streamlines mannequin growth, inference and monitoring and ensures reliability in manufacturing.
Watch: Databricks because the Spine of MLOps: From Orchestration to Inference
Delaware BeLux leverages Databricks Lakeflow Connect with extract information immediately from the supply with out the complicated structure in between to keep away from information loss and information high quality points, driving extra environment friendly and clever information provisioning.
Watch: Lakeflow Join: The Recreation-Changer for Advanced Occasion-Pushed Architectures
DigiCert makes use of Apache Spark™ for parallel processing and Structured Streaming for real-time ingestion and deduplication. It additionally makes use of Delta tables for information reliability, swimming pools and jobs to make sure prices are optimized and to maintain information contemporary, correct and cost-effective.
Porsche Holding adopted Lakeflow Connect with allow devoted CRM and information science groups to be extra productive and concentrate on their core work to assist innovate, as a substitute of spending priceless time on the info ingestion integration.
Watch: Unifying Buyer Knowledge to Drive a New Automotive Expertise With Lakeflow Join
Mastercard carried out Delta Lake to optimize information pipelines, leading to an 80% discount in question time and a 70% discount in space for storing. The corporate additionally makes use of Databricks Workflows to execute compute-intensive pipelines throughout a number of clusters, considerably decreasing processing time from months to days.
United Airways collaborated with Impetus and Databricks, together with Apache Spark™-based processing, to investigate over 20 million rows of knowledge in below ten minutes, together with automated well being checks to attenuate anomalies and a scalable, user-friendly income forecasting dashboard, in the end decreasing operational prices by 50% and accelerating data-to-insight workflows.
CK Delta constructed a streaming pipeline on Lakeflow Declarative Pipelines that connects on to Databricks Dashboards, offering stakeholders with instant insights into their operational metrics.
Watch: Actual-Time Analytics Pipeline for IoT System Monitoring and Reporting
Swiggy makes use of Databricks Lakehouse structure, together with Unity Catalog, to energy vital AI purposes, like demand forecasting, route optimization, personalised suggestions, predictive supply SLAs, and Generative AI use instances.
Watch: How an Open, Scalable and Safe Knowledge Platform is Powering Fast Commerce Swiggy’s AI
Knowledge Lakehouse Structure and Implementation
T-Cell made Databricks the central hub for its cross-platform interoperability, enabling seamless Snowflake integration by means of Unity Catalog and the Iceberg REST API. This versatile, vendor-agnostic structure bridged Databricks and Snowflake with out compromising efficiency or safety.
Watch: Breaking Silos: Enabling Databricks-Snowflake Interoperability With Iceberg and Unity Catalog
Bayer’s Client Well being division utilized the Databricks Knowledge Intelligence Platform to develop reusable core information property and scalable information merchandise. This globally distributed platform helps cost-efficient dashboarding, advert hoc analytics, machine studying and AI options, empowering hundreds of stakeholders worldwide.
Watch: Insights for All — Bayer Client Well being’s Journey on Self-Service Analytics at Scale
Barclays leverages the Databricks Lakehouse in a framework to attain each information flexibility and ACID transaction ensures important for FinCrime monitoring. The framework included superior ML fashions for anomaly detection, sample recognition, and predictive analytics, whereas sustaining clear information lineage & audit trails required by regulatory our bodies, to scale back false positives, enhance detection velocity, and speed up regulatory reporting.
Watch: Enterprise Monetary Crime Detection: A Lakehouse Framework for FATF, Basel III, and BSA Compliance
Capital One Monetary makes use of Delta Lake and an optimization mannequin, together with Databricks photon and Apache Spark™ Join, to construct a highly-functional, cost-effective and performant safety info and occasion administration person expertise.
Watch: Delta and Databricks as a Performant Exabyte-Scale Software Backend
Nationwide leverages Databricks’ serverless know-how and Unity Catalog to construct scalable, world-class BI options. Key options like AI/BI Dashboards, Genie, Materialized Views, Lakehouse Federation and Lakehouse Apps empowered enterprise groups to ship sooner, scalable and smarter insights, in the end enabling Nationwide to unlock new ranges of effectivity and enterprise impression.
Watch: How Serverless Empowered Nationwide to Construct Value-Environment friendly and World Class BI
Italgas deployed the Knowledge Intelligence Platform to create a extra responsive, environment friendly, and sustainable fuel community. Migrating to Databricks SQL, the corporate achieved 50% value discount and 20% efficiency enhance. Italgas deployed 41 ML/GenAI fashions in manufacturing, with 100% of workloads ruled by Unity Catalog, in addition to empowered 80% of workers with self-service BI by means of Genie Dashboards.
Watch: Italgas’ AI Manufacturing unit and the Way forward for Fuel Distribution
DoorDash depends on Delta Lake to construct the “DoorDash Buyer 360 Knowledge Retailer,” which represents a foundational step in centralizing and managing buyer profiles to allow concentrating on and personalised buyer experiences.
DoorDash adopted Databricks to get rid of extreme information motion, create seamless integration and consolidate question engine layers, optimize question efficiency, and create a unified metadata catalog used throughout numerous compute platforms.
Watch: Iceberg Desk Format Adoption and Unified Metadata Catalog Implementation in Lakehouse Platform
The Texas Rangers deployed Databricks to remain one step forward within the hyper-competitive world of baseball.
Watch: How the Texas Rangers Use a Unified Knowledge Platform to Drive World Class Baseball Analytics
Riskified leverages Databricks’ native Apache Iceberg™ help and Unity Catalog to construct a next-generation lakehouse.
Watch: Breaking the Ice(berg): Riskified’s Journey to its Subsequent-Era Lakehouse
HelloFresh makes use of Unity Catalog because the Apache Iceberg™ REST catalog of selection for storing metadata and managing tables.
Watch: Apache Iceberg™ with Unity Catalog at HelloFresh
Bagelcode makes use of Delta Lake to revamp ETL pipelines, optimize partitioned desk logs and execute a seamless migration with minimal disruption. This effort improved governance, simplified administration and unlocked Unity Catalog’s superior options. Bagelcode additionally integrates the Genie Room with Slack to allow pure language queries, accelerating decision-making and operational effectivity. And Unity Catalog revolutionizes its information ecosystem, elevating governance and innovation.
Watch: Embracing Unity Catalog and Empowering Innovation With Genie Room
Bosch deployed Databricks as its core information platform. The central information lakehouse integrates seamlessly with transformative parts, akin to dbt and LLMs, to drive actionable insights and operational excellence throughout complicated provide chain processes.
Games24x7 makes use of Databricks Apache Spark™, Delta Lake, UC, MLflow and Databricks SQL to chop prices by 20% and unlock enterprise worth by means of information democratization. The corporate constructed a number of information merchandise on Databricks, together with EventEcho, a digital marketing campaign optimization platform that enabled a 5% improve in person acquisition in Games24x7’s core market.
Watch: Games24x7’s Revolutionizing On-line Talent Gaming With Databricks
Tonal leverages Apache Spark™, MLflow, and Workflows inside its Coaching Purpose (TG) ecosystem, a four-part answer that launched new choice choices to seize customers’ health aspirations. With Databricks, the corporate computes TG metrics, manages mannequin growth, and orchestrates information pipelines, supporting scalability, reliability, and a extra significant, personalised manner for members to trace their progress.
Watch: Empowering Progress: Constructing a Customized Coaching Purpose Ecosystem with Databricks
Disney leverages cutting-edge Databricks options, akin to liquid clustering, Photon with dynamic file pruning, Delta’s identification column, Unity Catalog and extra, to construct Foundational Medallion, a cornerstone in its structure that redefines how the corporate manages information at scale.
Watch: Disney’s Foundational Medallion: A Journey Into Subsequent-Era Knowledge Structure
Supercell companions with Databricks and Snowplow to construct a scalable, privacy-compliant information platform for real-time insights.
Nasdaq makes use of Databricks to transition from disjointed programs to a unified platform.
Watch: How We Reworked Two Companies With Databricks because the Cornerstone
Bayer’s Client Well being division utilized the Databricks Platform to develop reusable core information property and scalable information merchandise. This globally distributed platform helps cost-efficient dashboarding, advert hoc analytics, machine studying and AI options, and empowers hundreds of stakeholders worldwide.
Watch: Insights for All — Bayer Client Well being’s Journey on Self-Service Analytics at Scale
Dow Inc. carried out the Databricks platform to rework its capacity to trace and cut back carbon footprints whereas driving operational efficiencies, leading to important value financial savings by means of optimized upkeep and diminished downtime.
Watch: Manufacturing Cleaner: How Knowledge Intelligence Cuts Carbon, Not Earnings
Michelin leverages Databricks in its formidable technique to attain 3% power consumption discount by 2026.
Watch: Manufacturing Cleaner: How Knowledge Intelligence Cuts Carbon, Not Earnings
Adobe makes use of the Databricks safety lakehouse, together with subtle information safety structure and the Open Cybersecurity Schema Framework, for scalable, real-time risk detection throughout over 10PB of safety information.
Watch: Adobe’s Safety Lakehouse: OCSF, Knowledge Effectivity and Risk Detection at Scale
ThredUp adopted Delta Lake and Unity Catalog to enhance information administration, in addition to energy analytics, machine studying, and real-time decision-making.
Watch: ThredUp’s Journey with Databricks: Modernizing Our Knowledge Infrastructure
P&G carried out Unity Catalog to reinforce information governance, cut back information redundancy and enhance the developer expertise by means of the enablement of a Lakehouse structure.
Watch: Unlocking Enterprise Potential: Key Insights from P&G’s Deployment of Unity Catalog at Scale
Eli Lilly and Firm companions with Databricks to construct a International Manufacturing Knowledge Material (GMDF), laying the groundwork for transformative information merchandise utilized by numerous personas at websites and globally.
Watch: Remodeling Bio-Pharma Manufacturing: Eli Lilly’s Knowledge-Pushed Journey With Databricks
Boeing faucets MLflow, GenAI, and Delta Sharing applied sciences to help its Jeppesen Sensible NOTAMs system, which processes over 4.5M vital flight notices yearly and serves 75% of economic aviation, demonstrating the facility of compound AI in aviation security.
Watch: Sensible Knowledge, Smarter Autos: Constructing the Basis for the Way forward for Transportation
Well being Catalyst makes use of Databricks to rework its CI/CD technique. Now, Databricks Asset Bundles are unlocking larger agility and effectivity for the healthcare information and analytics supplier, together with streamlining deployments throughout each buyer workspaces and Well being Catalyst’s core platform to speed up time to insights and drive steady innovation.
Epsilon Knowledge Administration makes use of Delta Lake, Unity Catalog, MLflow and LLM endpoints to energy huge information quantity, cut back information duplication, enhance lineage visibility, speed up information science and AI, and allow new information to be instantly obtainable for consumption by your complete Epsilon platform in a privacy-safe manner.
Pella Company makes use of Databricks options, together with liquid clustering, managed schema/desk inside Unity Catalog, and BI analytical dashboard, to drive higher efficiency optimization and price financial savings. For instance, Databricks Asset Bundles for workflows/jobs deployment resulted in important value financial savings of greater than $30K/yr.
Kaizen Gaming makes use of Unity Catalog to make sure governance and safety in its new, redesigned cloud structure. Delta Sharing and DBx Asset Bundles additionally simplified transitions, leading to sooner insights, improved value management and diminished onboarding time.
Watch: Redesigning Kaizen’s Cloud Knowledge Lake for the Future
LSports adopted Apache Iceberg™ to construct a contemporary lakehouse structure and leverages Databricks superior Iceberg help to take it to the subsequent stage.
Watch: Unlocking the Energy of Iceberg: Our Journey to a Unified Lakehouse on Databricks
Knowledge Sharing and Collaboration
Dun & Bradstreet depends on Delta Sharing to allow safe, real-time distribution of grasp information throughout the enterprise guaranteeing that each system operates from a constant and trusted basis.
Watch: Scaling Trendy MDM With Databricks, Delta Sharing and Dun & Bradstreet
Procore makes use of Delta Sharing and a lakehouse structure to ship game-changing outcomes for its prospects and enterprise, together with enabling information professionals to unlock the complete potential of their information property and drive significant enterprise outcomes.
Watch: Website to Perception: Powering Development Analytics By means of Delta Sharing
Sleep Quantity deployed Unity Catalog and Delta Sharing to facilitate the sharing of anonymized datasets throughout Databricks workspaces and accounts, spanning a number of cloud environments akin to AWS, Azure, and GCP. This permits accelerated insights whereas guaranteeing compliance with information safety and privateness requirements.
Watch: Enabling Sleep Science Analysis With Databricks and Delta Sharing
FreeWheel, a Comcast firm, chosen Databricks Clear Rooms to programmatically implement k-anonymization constraints and differential privateness, enabling safe and versatile information exploration.
Watch: Unlocking TV Viewership Insights: Privateness-Compliant Knowledge Sharing with Clear Rooms
HP’s 3D Print division makes use of Delta Sharing, Unity Catalog and AI/BI Dashboards to supply a safe, scalable answer for information sharing and analytics, enabling seamless information entry even for purchasers not on Databricks.
Watch: How HP Is Optimizing the 3D Printing Provide Chain Utilizing Delta Sharing
Walmart constructed Cloud Feeds on Databricks Delta Sharing, permitting prospects to extra simply entry information at a lot decrease effort and with out a devoted technical workforce behind the scenes to make it occur.
Deep Sync leverages the Databricks Lakehouse to handle an identification backbone that accommodates essentially the most correct and up-to-date attribute information for over 98% of U.S. households.
Watch: Knowledge Monetization By means of Delta Sharing and Knowledge Clear Rooms
Danone makes use of Delta Sharing to assist migrate from a standard hub-and-spoke mannequin to a extra environment friendly and scalable data-sharing strategy that labored seamlessly throughout areas and platforms.
Watch: How Danone Enhanced International Knowledge Sharing with Delta Sharing
Komodo Well being makes use of Delta Sharing to unlock new alternatives throughout the life sciences ecosystem, together with utilizing de-identified longitudinal affected person information with out compromising affected person privateness.
Watch: How Knowledge Sharing is Remodeling Healthcare: Actual World Insights
Intuit leverages Databricks Clear Rooms to create a safe, privacy-safe lending market that allows small enterprise lending companions to carry out analytics and deploy ML/AI workflows on delicate information property.
Watch: Intuit’s Privateness-Protected Lending Market: Leveraging Databricks Clear Rooms
Mercedes-Benz depends on Databricks options, together with Delta Sharing, to attain a unified growth expertise for groups engaged on Mercedes-Benz Knowledge Platforms in AWS and Azure.
Watch: Cross-Cloud Knowledge Mesh with Delta Sharing and UniForm in Mercedes-Benz
Knowledge Technique
Goldman Sachs makes use of Databricks in its Legend Lakehouse to ship high-quality, ruled information at scale. Apache Iceberg and Unity Catalog ensured platform interoperability and vendor neutrality. Unity Catalog additionally offers a sturdy entitlement system that aligns with the corporate’s information contracts, guaranteeing constant entry management throughout producer and client workspaces.
Watch: Studying from Goldman Sachs’ Legend Lakehouse for Knowledge Governance
FIS International, PicPay, HSBC and different main banks leverage Databricks to uncover new income alternatives, deepen buyer relationships, and broaden market attain.
Watch: Scaling Success: How Banks are Unlocking Development With Knowledge and AI
Alabama Energy Firm makes use of Databricks to modernize its grid administration and storm preparedness, together with creating purposes that mix real-time information and predictive analytics to enhance reliability, effectivity, and customer support.Watch: Modernizing Vital Infrastructure: AI and Knowledge-Pushed Options in Nuclear and Utility Operations
Second Dinner carried out real-time Function Serving with Databricks to help personalised, responsive gameplay experiences at scale.
Watch: Actual World Use Instances for Gaming With Knowledge and AI
Seven West Media makes use of Databricks to speed up the launch of AI-driven use instances, foster innovation and cut back time to market.
Watch: Databricks AI Manufacturing unit Remodeling Seven West Media
Rheem depends on Databricks for fast information product growth and environment friendly information sharing throughout the group. This unlocks important enterprise worth throughout gross sales, procurement, service and operations and enhances decision-making and operational effectivity.
Morgan Stanley leverages Databricks to scale considered one of its most important regulatory calculators (SACCR) to enhance efficiency, calculation accuracy, regulatory compliance and extra.
Watch: Revolutionizing Counterparty Credit score Threat (SACCR) – How Morgan Stanley Scaled With Databricks
Mastercard developed a novel service atop Databricks Clear Rooms (and the broader Knowledge Intelligence Platform) that mixes a number of Databricks parts with Mastercard’s IP to supply an advanced methodology for data-driven insights and value-added providers, whereas guaranteeing a novel, standalone, turnkey service. The result’s a safe setting the place a number of events can collaborate on delicate information with out immediately accessing one another’s info.
Watch: Evolving Knowledge Insights With Privateness at Mastercard
FrieslandCampina makes use of Databricks in its international information platform to help high-impact use instances and AI-driven decision-making, in addition to unified governance with Unity Catalog.
Watch: Knowledge Drives Dairy: Royal FrieslandCampina’s Knowledge-Centric Transformation With Databricks
84.51˚ makes use of a lakehouse structure to assist information scientists and engineers with information exploration, evaluation, machine studying operations, orchestration, automated deployments and collaboration.
Watch: Creating the Dreamers of Knowledge + AI’s Future: How 84.51˚ builds upskilling to speed up adoption
GovTech adopted Databricks on the core of its GovTech Knowledge Platform, permitting it to supply stakeholders information providers primarily based on their information maturity. A plethora of knowledge property, starting from uncooked information to information merchandise, are all delivered through Databricks and enabled by means of fine-grained entry management, underpinned by information administration greatest practices, akin to information high quality, safety and governance.
Watch: Remodeling Authorities With Knowledge and AI: Singapore GovTech’s Journey With Databricks
J.P. Morgan Funds leverages Databricks and AWS options in its information platform used to create buyer merchandise, together with Money Circulate Intelligence.
Techcombank deployed the Databricks Knowledge Intelligence Platform to extra effectively unify information from over 50 programs, enhance governance, streamline every day operational analytics pipelines and use superior analytics instruments and AI to create extra significant and personalised experiences for purchasers.
Watch: Techcombank’s Multi-Million Greenback Transformation Leveraging Cloud and Databricks
Normal Chartered Financial institution makes use of Databricks to exchange a standard SIEM and obtain exceptional enterprise outcomes, together with an 80% discount in time to detect incidents, 92% sooner risk investigation, 35% value discount and 60% higher detection accuracy.
Watch: Revolutionizing Cybersecurity: SCB’s Journey to a Self-Managed SIEM
GM Monetary leverages Databricks to design and implement a cutting-edge cloud analytics platform, overcoming challenges akin to dispersed and restricted information capabilities, high-cost {hardware} and outdated software program to develop a unified Customer360 view with established, strong information governance and cybersecurity measures.
Knowledge Warehousing
PacificSource Well being Plans migrated all of its information and analytics ecosystem to a lakehouse.
Watch: Migrating Legacy SAS Code to Databricks Lakehouse: What We Discovered Alongside the Method
Walmart depends on the Knowledge Intelligence Platform to allow seamless information integration, high-performance analytics and ruled sharing, together with utilizing AI/BI Genie to empower self-service analytics, driving non-technical person adoption, in the end reducing time to worth by 90% and prices by $5.6M yearly.
Watch: Self-Service Assortment and House Analytics at Walmart Scale
Rivian Volkswagen Group Know-how faucets Unity Catalog, together with Databricks Apps, Workflows and native capabilities, to create a single supply of fact and streamline governance, guaranteeing compliance with out hindering innovation. It additionally maximizes the worth of that catalog by leveraging semantics to allow reliable, AI-driven self-service in AI/BI dashboards and downstream apps.
Watch: Smashing Silos, Shaping the Future: Knowledge for All within the Subsequent-Gen Ecosystem
PepsiCo makes use of Databricks SQL serverless to rework its outdated information platform into a contemporary, unified and centralized information and AI-enabled platform. This platform facilitates the supply of numerous data-driven insights to the enterprise, reduces operational bills and enhances general efficiency.
Watch: Revolutionizing PepsiCo BI Capabilities: From Conventional BI to Subsequent-Gen Analytics Powerhouse
Funplus leverages Databricks to construct a cheap and environment friendly information platform that tackles key challenges, enhances information engineering and ML effectivity, and showcases greatest practices and their impression on recreation growth and operations.
Watch: Value-Efficient Knowledge Structure and AI Apply With Databricks at FunPlus
NCS Australia integrates Databricks SQL, the DBT Rework framework and its revolutionary take a look at automation framework to optimize efficiency and scalability, whereas guaranteeing information high quality. Unity Catalog empowers enterprise models with self-serve analytical workspaces to create insights whereas sustaining management.
Watch: Accelerating Knowledge Transformation: Finest Practices for Governance, Agility and Innovation
Haleon makes use of Databricks APIs and serverless compute to develop customer-facing purposes that allow the corporate to get rid of the friction related to immediately accessing SAP information from operational programs, whereas enhancing its efficiency capabilities. With Databricks, Haleon achieves response instances of lower than 3 seconds from API calls. The implementation of this answer additionally yielded a 15% discount in customer support prices and a 28% improve in productiveness for its buyer help workforce.
Watch: Crafting Enterprise Brilliance: Leveraging Databricks SQL for Subsequent-Gen Purposes
The World Financial institution integrates Databricks as its core serving layer to construct a unified information platform that meets numerous enterprise wants. It leverages Databricks SQL to effectively ship information to analytics instruments and downstream purposes and Delta Sharing to allow safe and cost-effective information distribution.
Watch: Unifying Knowledge Supply: Utilizing Databricks as Your Enterprise Serving Layer
First Horizon Financial institution makes use of the Knowledge Intelligence Platform to construct an Enterprise Knowledge Hub to drive progress, effectivity and readiness, together with unlocking superior analytics and GenAI potentialities.
HP Print migrated to a modular and scalable information ecosystem on a lakehouse, leading to 30–40% value financial savings, scalable and remoted sources for various information customers and ETL workloads, and efficiency optimization for a wide range of question sorts.
Watch: HP’s Knowledge Platform Migration Journey: Redshift to Lakehouse
For those who want extra inspiration for methods to use information and AI to energy innovation, productiveness, and information intelligence at your group, watch these and 200+ extra buyer classes from the 2025 Knowledge + AI Summit on demand.
See the newest buyer tales to learn the way information and AI groups are utilizing Databricks options to construct revolutionary information and AI options.
