Transforming industries with conversational AI: Partner solutions built on Databricks Genie

In the era of data intelligence, the value of information is only as good as its accessibility. For most organizations, the ‘Analyst Bottleneck’ - where business leaders wait days for custom SQL queries or dashboard updates - remains a major hurdle to real-time decision-making. Databricks Genie is designed to eliminate this friction by providing a conversational analytics layer that allows every user to literally talk with their data. By leveraging an ensemble of specialized AI agents, Genie continuously learns your unique business semantics and metadata in Unity Catalog, providing governed, secure, and trustworthy answers to even the most complex natural language questions.

Databricks consulting and SI partners are taking this innovation a step further by building industry-specific solutions on top of Genie. These solutions combine deep domain expertise with the power of the Databricks Data Intelligence Platform to solve sector-specific challenges - from improving supply chain resilience, enhancing risk monitoring to streamlining clinical trial management. This blog showcases the first cohort of these Partner Industry Solutions, each designed to turn raw data into a primary competitive advantage through the magic of conversational AI.

This blog showcases innovative partner solutions built on Databricks Genie across six industry categories:

• Communications, Media and Entertainment
• Financial Services
• Healthcare and Life Sciences
• Manufacturing & Energy
• Public Sector
• Retail, Consumer Goods, Travel & Hospitality

Communications, Media and Entertainment

Blueprint Technologies
Telco Churn and Next Best Action: Telco retention teams can now ask their subscriber data questions in plain English and get governed, traceable answers. Built on Databricks AI/BI Genie and grounded in Unity Catalog, Blueprint's Telco Churn + NBA accelerator pairs a churn-propensity model with a Genie agent that explains why a customer segment is at risk and recommends three categories of next-best action: a marketing campaign, a targeted outreach play, and a network infrastructure investment. Marketing, lifecycle, and business strategy teams across residential and business retention shift from monthly batch reports to on-demand conversational analysis, with every recommendation traced back to its underlying data.

Entrada
Customer Billing Accelerator: Entrada's Customer Billing Accelerator unifies diverse billing data - invoices, revenue streams, anomalies, operational signals - into a governed view across finance and operations teams. This accelerator deploys AI agents that continuously monitor billing performance, detect anomalies, and automate end-to-end investigation workflows. Built-in Unity Catalog governance and Serverless SQL ensure secure, scalable, enterprise-grade analytics. Leveraging Agent Bricks for automated agent orchestration and Genie for conversational analytics, the platform enables finance teams to query billing performance in plain language, investigate revenue issues, and replace static dashboards with actionable financial insights. Read this blog to learn more.

Lovelytics
Audiencelytics (CME): Audiencelytics is a sophisticated audience intelligence solution developed by Lovelytics in partnership with Locality to revolutionize local advertising. By leveraging the Databricks Data Intelligence Platform, it unifies fragmented viewership data into a single, actionable asset for brands. The platform utilizes generative AI and automation to streamline campaign planning, marketing activation, and outcome measurement across both linear and streaming channels. This centralized approach eliminates siloed workflows and reliance on expensive third-party processors, significantly reducing operational costs. Ultimately, Audiencelytics empowers advertisers with precise targeting and real-time insights, ensuring local media campaigns are both highly scalable and consistently effective. Check out this demo and read this customer story to learn more.

Churnlytics (CME): Churnlytics is an advanced predictive analytics solution developed by Lovelytics to help organizations in the communications, media, and entertainment sectors combat customer attrition. Built on the Databricks Data Intelligence Platform, it integrates disparate data sources—such as usage patterns, billing history, and customer interactions—to create a unified view of subscriber behavior. By applying machine learning models, Churnlytics identifies "at-risk" customers before they leave, allowing businesses to launch proactive, personalized retention campaigns. This data-driven approach shifts companies from reactive responses to strategic prevention, ultimately protecting recurring revenue and increasing long-term customer lifetime value through actionable, real-time intelligence. Check out this demo to learn more.

Wipro
Wipro Telecom Sales and Marketing Accelerator: This solution targets the Telecom Small & Medium Business (SMB) segment by re-engineering the complete Customer Lifecycle—from Prospecting and Conversion to Selling, Onboarding, Installation, Service, and continuous Cross-sell/Upsell. The Wipro Agentic AI solution, powered by Lakebase and Genie, enables intelligent, context-aware decisioning across Sales, Marketing, Customer Service and Revenue Management. By unifying Customer 360 intelligence, propensity-driven insights, dynamic pricing, real-time recommendations and zero-touch fulfilment, telcos can deliver B2C-like simplicity while ensuring B2B regulatory compliance - driving faster deal closures, higher Average Revenue Per User (ARPU), reduced churn and sustainable global growth of the SMB business.

Financial Services

Bitwise Global
Customer 360 & Churn Analysis: Bitwise offers an intelligent Customer 360 solution for BFSI built on the Databricks Data Intelligence Platform and Genie, helping organizations unify fragmented customer data across core banking, CRM, transactions, and digital channels. The solution enables a single, trusted customer view, predictive analytics, and conversational insights for business users. Leveraging pre-built Customer 360 models, machine learning, and governed data pipelines, Bitwise helps financial institutions improve customer engagement, predict churn, enable next-best actions, strengthen risk monitoring, and accelerate cross-sell opportunities. Through Databricks Genie, users can access real-time insights using natural language queries, enabling faster, data-driven, and personalized customer decision-making at scale. Read this blog to learn more.

Capgemini
KYC + pKYC industry accelerator: Capgemini’s KYC + pKYC accelerator is a domain-driven, agentic-powered solution designed to transform KYC and pKYC processes. By leveraging deep domain expertise and data-driven automation alongside conversational AI, the accelerator streamlines client onboarding, continuous monitoring, and periodic recertification. It establishes a unified KYC Data Foundation on a Lakehouse architecture, incorporating policy-and regulation-aware reasoning. The solution features robust security and governance, utilizing Delta Lake, Unity Catalog, and comprehensive audit trails. In this solution, Databricks Genie serves as the conversational AI layer, empowering client advisors, and compliance teams to access a holistic, single source of truth for KYC data from diverse systems and external data sources using natural language to derive meaningful insights. Overall, this accelerator markedly reduces manual effort, accelerates onboarding timelines, enhances explainability and auditability, and delivers a scalable, future-ready framework for intelligent KYC and pKYC operations.

Datasentics
Reimagining actuarial work with Databricks Genie: Insurance is the original data business – they were doing analytics and ML before it was cool. And yet, actuarial teams are currently only lightly penetrated by AI and often rely on Excel calculations, static dashboards and manual reporting en masse. Databricks and especially Genie has the potential to change this and help actuarial practice move into the age of AI. Conversational interface, deep understanding of data and enterprise grade governance is the winning recipe for practical AI in insurance. For insurers, this means shrinking the time between data and decisions. Genie not only reduces manual effort in actuarial teams, but also turns faster access to data into faster and better-informed decisions across the business. Therefore, Datasentics has developed insurance-specific Genie solutions for Solvency II capital requirements, pricing, and claims handling, and is moving its client onto the Databricks platform.

Entrada
Mortgage Intelligence Platform: Entrada's Mortgage Intelligence Platform unifies internal pipelines, Cotality property intelligence, competitive signals, and geospatial context into an actionable view. AI-native insights reveal hidden opportunities and risks, empowering loan, underwriting, and risk teams. Built-in agent orchestration and Lakebase audit trails ensure every recommendation is transparent, reviewable, and fully compliance-ready. Leveraging Genie's conversational analytics and Agent Bricks orchestration, the platform enables organizations to query insights in plain language, assemble complete intelligence dossiers, and act decisively on retention and origination opportunities. Read this blog to learn more.

Exponentia.ai
WealthXponent: Built on client portfolio and market data, WealthXponent leverages Genie’s natural language querying capability, allowing users like relationship managers and advisors to ask questions in simple English and interact with data effortlessly. It uses auto SQL generation to automatically create and run queries in the backend, delivering instant insights and visualizations. Using Genie’s metadata and knowledge layer, it understands data relationships and business context to provide accurate, context-aware insights aligned with organizational data. The solution supports self-service analytics, allowing non-technical users to independently explore data resulting in enhanced advisory quality, improved portfolio management, and higher client engagement and retention. Check out this demo to learn more.

Fractal Analytics
B2B Insurance Analytics & Data Platform Accelerator: This accelerator enables B2B insurance organizations to modernize enterprise analytics using Databricks AI/BI Genie on a governed lakehouse. Built on an Azure Databricks medallion architecture, the solution consolidates fragmented data estates and enables business users to explore trusted claims data using natural language. Databricks Genie converts plain‑English questions into SQL, executes them on curated lakehouse tables, and returns tables, text, or visual outputs. Unity Catalog provides centralized governance including access control, lineage, and data quality enforcement, while Power BI integrates for enterprise reporting via secure DirectQuery. The platform reduces dependency on specialist teams, supports migration of ETL and ML workloads, and establishes a scalable, compliant source of truth for insurance analytics. Read this blog to learn more.

Hexaware
RiskGuard Genie is a Databricks AI/BI–powered unified analytics platform consolidating regulatory compliance, credit risk assessment, and audit intelligence through natural language. Compliance officers, credit analysts, and CFOs query complex risk data in plain English, eliminating SQL dependencies and manual work. The platform delivers three integrated domains - Compliance Sentinel (regulatory breach detection, BCBS 239 metrics), Credit Intelligence Navigator (AI-powered assessments, portfolio scoring), and Compliance Auditor (audit trails, tax exposure). Built on Databricks Lakehouse with Unity Catalog governance, RiskGuard enables self-service insights while maintaining auditability. It reduces compliance cycles from weeks to hours, accelerates credit decisions by 40–60%, and democratizes risk insights enterprise-wide. Read this blog to learn more.

IBM
AI Research & Portfolio Insights: In markets where every basis point is contested, portfolio managers need insight that moves at the speed of volatility. AI Research & Portfolio Insights with Databricks Genie turns governed Lakehouse data into a conversational research cockpit: analysts can interrogate market signals, test liquidity shocks, compare exposures, and generate what-if narratives without waiting on a reporting queue. IBM IBV’s 2025 banking research found 63% of risk, compliance, and validation executives see AI stress-test simulations as vital for enterprise scaling, while 48% prioritize real-time risk controls. Genie makes that kind of always-on, trusted scenario intelligence usable directly in the investment workflow at institutional scale.

Claims & Underwriting Copilot: Claims and underwriting are where trust, margin, and regulatory scrutiny meet. A Claims & Underwriting Copilot on Genie + Lakebase gives adjusters and underwriters a real-time decision layer: unified policy, claims, third-party, and document data; automated extraction from FNOLs, medical records, estimates, and submissions; predictive risk scoring; and governed recommendations with human oversight. IBM IBV’s 2025 insurance research projects agentic AI use in claims will reach 77% by 2027, and AI investments have already reduced claims processing time by roughly 19%. Lakebase keeps decisions current; Genie makes them explainable, searchable, and actionable for teams at enterprise scale today across the insurance lifecycle.

Finance Data Control Tower: Finance leaders are being asked to forecast faster, defend capital, and explain volatility in language the board can act on. Finance Data Control Tower with Databricks Genie gives CFO teams a conversational command center across liquidity, capital, working capital, profitability, and forecast variance—turning governed Lakehouse data into natural-language answers, scenario drilldowns, and board-ready narratives. IBM IBV’s 2026 Dynamic Finance research found only 7% of finance organizations have operationalized AI-powered forecasting at enterprise scale, while only 8% operate with fully dynamic planning. Genie helps close that gap by making trusted insight as accessible as asking the next question in real time.

Impetus
Impetus US Regulatory Compliance Solution Framework helps enterprises stay compliant by enabling compliance insights by continuously assessing SOX and PCI-DSS readiness using Databricks Unity Catalog and Genie. It ingests customer data into a governed Lakehouse and dynamically maps each customer’s terminology into a Canonical Silver Layer, creating a standardized compliance vocabulary reusable across industries and ERPs. A Gold layer provides audit-ready KPIs, exceptions, and fully traceable evidence, while a governed Semantic layer and Databricks Genie including guardrails delivers secure, policy-aligned compliance insights. The solution framework enables intelligent compliance insights, risk summaries, KPI’s, and evidence-based drilldowns. Read this blog to learn more.

Indicium
Claims & Premium Intelligence enables insurance carriers to optimize pricing and risk management through AI-driven analysis of claims and premium data. Built on Databricks, the solution leverages governed data and Databricks Genie to provide real-time insights into loss drivers, pricing inefficiencies, and portfolio performance. Users can explore claims patterns, assess risk segments, and simulate pricing strategies through natural language interaction. The solution shifts decision-making from static reporting to continuous, data-driven optimization, improving loss ratios, accelerating underwriting decisions, and reducing pricing inefficiencies. It enables scalable AI adoption by transforming fragmented insurance data into an interactive, decision-ready intelligence layer.

LTM
Money in Motion is a banking data accelerator that helps banks to understand transactional data and helps to retain and increase bank assets and liquidity. It analyzes transactions to identify customer leakage, uncover transaction intent, and distinguish between existing customers and prospects. Using advanced analytics, NLP,and AI-driven models, the solution enables payout analysis, forecasting, customer segmentation, and personalized product recommendations. Built on the Databricks Lakehouse with Mosaic AI, Unity Catalog, and governed dashboards, Money in Motion empowers business, sales, and marketing teams to take timely, data-driven actions to improve customer engagement, increasing bank assets and drafting customized bank products and retention strategies for clients.

Risk Sentinel is an agentic early warning system designed to detect, prioritize, and mitigate credit risk before slippage occurs. Traditional risk management systems generate alerts that often go unnoticed, delayed, or orphaned, creating alert fatigue and missed intervention opportunities. Risk Sentinel transforms this paradigm by converting weak signals into prioritized, evidence-backed risk cases that move beyond simple alerts to create owned, trackable interventions. The system reduces noise and delay while ensuring no alert is ignored, enabling financial institutions to shift from reactive monitoring to proactive risk mitigation. By correlating multiple data sources and applying intelligent agent-based analysis, Risk Sentinel bridges the gap between signal detection and actionable intervention, empowering risk teams to address potential issues before they escalate into financial losses.

Customer Centricity demonstrates how banks can operationalize customer centricity using Databricks Genie and Lakebase to drive measurable business outcomes. It unifies customer data across core banking, cards, transactions, service, and digital channels into a governed lakebase to create an action-ready customer profile. Genie enables personas such as Relationship Managers and Marketing Analysts to interact conversationally with customer insights, prioritize next best actions, and generate campaigns with data-backed rationale. A supervisor agent operationalizes outcomes by assigning customers, recommending products, and generating outreach scripts—helping banks increase wallet share, improve product mix, reduce churn, and enhance customer experience at scale. Read this blog to learn more.

Claim Analytics is a Databricks Lakehouse–based solution that enables insurers to move from reactive to predictive claims management. Using Databricks Auto Loader, structured and unstructured claim data—such as FNOL, policy details, payments, documents, images, and notes—is ingested in real time and processed through scalable job pipelines. Advanced analytics, machine learning, and GenAI generate predictive severity scores, fraud risk signals, and intelligent claim segmentation. Insights are delivered through AI/BI dashboards for self-service analysis, while agents provide AI-assisted summaries and decision support. This end-to-end platform improves claim efficiency, reduces losses, accelerates decisions, and enhances customer experience across the claim's lifecycle.

Automated Claim Notes transform the traditional manual, fragmented, and error-prone claims documentation process into a structured, intelligent workflow. In health insurance, claim notes are critical for tracking the claim lifecycle, compliance, fraud detection, and customer communication. By leveraging Databricks Lakehouse, Delta Live Tables, and Agent Bricks, insurers can standardize note generation, integrate data across FNOL, policy, and claims systems, and maintain auditable records. Automated notes improve operational efficiency, reduce turnaround time, ensure regulatory adherence, enhance fraud identification, and deliver timely, accurate updates—making claim notes a strategic enabler for compliant, customer-centric insurance operations.

Wipro
Wealth AI: WealthAI is a comprehensive, AI-driven platform spanning the entire wealth management lifecycle—from enhancing financial advisor experiences and deepening client engagement to accelerating middle- and back-office operations. Built on a multi-agentic, scalable architecture leveraging Databricks Lakebase/Lakehouse, it enables real-time analytics, governed data access, and resilient orchestration of AI agents. WealthAI applies advanced marketing analytics, personalized product recommendations, and automation across trade surveillance, trade break analysis, and SAR processes. For financial advisors, it generates high-quality proposals, personalized market research, and advisory content. With Databricks Genie enabling conversational analytics and strong model and data governance, WealthAI improves efficiency, compliance, data quality, advisor productivity, and overall business excellence. Read this blog to learn more.

Zeb
zeb Capital Markets Research Genie: A pre-built Genie space for buy-side and sell-side research teams, powered by Unity Catalog Business Semantics. It ships with certified Metric Views for portfolio composition, performance attribution, risk, exposure, and benchmark comparison plus pre-loaded Agent Metadata including LLM instructions, analyst-vocabulary synonyms, reference queries, and formatting standards. Research analysts and portfolio managers ask natural language questions like "decompose Q3 active return by sector" and receive certified, IC-grade answers in seconds. zeb's accelerator removes the 6-9 month semantic-layer build that typically blocks Genie adoption in capital markets, delivering value in a 4-6 week deployment.

Zensar Technologies
Smart Claims Assistant is a production‑ready AI accelerator that helps insurers apply Databricks Genie to everyday claims decisions. It brings governed claims, policy, financial, and document data together so business users can ask natural‑language questions and get trusted, explainable answers in seconds. The solution reduces claim cycle time, lowers loss adjustment expense, and helps detect leakage earlier by eliminating time spent searching across systems. It supports adjusters, supervisors, SIU teams, operations leaders, and executives. Users interact conversationally - asking follow‑up questions, drilling into drivers, reviewing evidence, and simulating outcomes-without relying on analysts or dashboards. Read this blog and social post to learn more.

Healthcare and Life Sciences

CitiusTech
Healthcare Insight Agents: Healthcare organizations struggle to generate timely, actionable insights amid growing operational complexity. Traditional analytics often take weeks to identify care gaps, uncover root causes of claim denials, or assess compliance risks—leading to delayed interventions, lost revenue, and increased regulatory exposure. These challenges are amplified by fragmented data and insights hidden in unstructured content such as clinical notes, policies, guidelines, and audit documents. CitiusTech’s Healthcare Insights Agent, powered by Databricks, addresses this gap by combining contextualized AI, governed enterprise data, and document intelligence, enabling Clinical, RCM, Quality, Audit, and Operations teams to ask natural-language questions across trusted data and documents without technical complexity. Read this blog to learn more.

Clinical Variance Reduction: CitiusTech’s Clinical Variation Reduction (CVR) solution enables healthcare organizations to systematically identify, analyze, and reduce unwarranted clinical variation across care delivery. Built on CitiusTech’s proven analytics and AI foundation and powered by Databricks, CVR combines governed enterprise data, contextualized AI, and evidence-based clinical knowledge to deliver a trusted, unified view of clinical, operational, and quality performance. Using advanced machine learning (clustering, outlier detection, causality analysis) and Databricks Genie natural-language queries, leaders can move quickly from insight to action, improving care consistency, outcomes, and cost and quality performance at scale. Read this blog to learn more.

Perform+ ClinicalIQ Agent: CitiusTech Perform+ is a Databricks-native, Brickbuilder-certified platform that helps U.S. payers and providers accelerate quality and value-based care—right inside their own Databricks environment, including FedRAMP-ready deployments. It unifies claims, clinical, utilization, financial, and SDOH data to deliver trusted, real-time insights that close care gaps, boost measure performance, and optimize costs. For instance, users can create a condition based cohort (diabetic hypertensives) and enable micro-network execution to impact outcomes. Powered by Delta Lake, Lakeflow Spark Declarative Pipelines, Unity Catalog governance, Lakehouse Federation/Delta Sharing, and Genie, Perform+ turns the full Databricks stack into measurable outcomes and faster ROI. Read this blog to learn more.

Cognizant
StrandLogic is an autonomous scientist that never sleeps. It is a multi-agent conversational AI platform purpose-built for precision medicine and clinical genomics — and the only accelerator of its kind built natively on Databricks for multi-omics clinical research. Powered by Databricks Genie, it enables life sciences researchers and scientists to pose natural language questions directly over multimodal, multi-omics datasets, replacing static dashboards with an autonomous, agentic research analyst. The solution generates on-demand insights including survival analyses, biomarker discovery, adverse event quantification, and drug target identification, with publication-ready visualizations — all without writing a single line of SQL or code. Read this blog to learn more.

EPAM
Revenue Growth Management Intelligence: Revenue teams in CPG and HLS lose days every cycle pulling pricing, promotion, and trade-spend data across fragmented systems, then waiting on BI teams for answers. EPAM's Revenue Growth Management Intelligence accelerator turns that workflow conversational. Built on Databricks Genie with Unity Catalog governing the underlying commercial data, it lets revenue managers ask natural-language questions about pricing performance, promotion ROI, and trade-spend effectiveness; and get governed, citation-backed answers in seconds. The accelerator includes pre-built Genie spaces, semantic instructions, and KPI definitions tuned for commercial analytics. The solution is deployed with a global leader in dairy nutrition, and with a top-five global biopharma company, to compress decision cycles from days to minutes.

Hoonartek
Pharma Operations – AI-Powered Exception Intelligence: In regulated environments, monitoring and responding to operational exceptions is critical. Using Genie with governed datasets through Pharma Operations solution helps monitor metrics like batch yield, deviations, CAPA, OOS/OOT, detect anomalies and explain underlying drivers, and generate structured, audit-ready summaries. This helps drive outcomes like faster issue detection, improved compliance, and reduced manual monitoring.

Koantek
Koantek Ascend AI/BI & Genie accelerates scaling Databricks Genie and AI/BI Dashboards from blueprint to enterprise rollout on Unity Catalog. Five horizontal modules (Genie Space Factory, MetricForge, ConvertBI, InsightEmbed, and OneDeploy) plus four industry accelerators (Healthcare, Financial Services, Retail/CPG, Manufacturing) collapse Genie space authoring from 10–15 days to 3 days per domain, auto-generate certified Metric Views from SQL and DAX, migrate Power BI and Tableau estates with parallel-run parity, embed Genie in external products, and roll out Genie UI to 100–500 users with reversible onboarding. The accelerator has been deployed at customers across semiconductor, professional services, life sciences, and manufacturing. Read this blog to learn more.

Tiger Analytics
Conversational BI for Healthcare: In the rapidly evolving healthcare landscape, a major player in the healthcare industry encountered significant performance limitations and reporting bottlenecks while utilizing Power BI across diverse and intricate data sources. Addressing these challenges, the implementation of optimized Genie spaces through Agent Bricks led to the delivery of highly accurate conversational analytics. This advancement not only accelerated the time-to-insight but also fostered greater user adoption, ultimately enhancing decision-making processes within the organization. As a result, the company positioned itself to navigate data complexities with agility and efficiency, paving the way for improved healthcare outcomes.

Manufacturing & Energy

CGI
Call Center Analytics AI: CGI and Databricks are helping a leading US utility unlock the full value of customer conversations by turning call center data into real-time, enterprise-wide insight. By combining the Databricks Lakehouse Platform with AI-driven transcription, enrichment and natural language analytics using Genie, the solution enables teams to analyze every interaction, uncover emerging issues faster and act with confidence. Business users can explore trends, identify root causes and improve customer experience without relying on technical teams. The result is a scalable, secure and governed approach that transforms contact centers from operational cost centers into strategic insight engines that drive smarter decisions and measurable business impact. Read this blog to learn more.

Advanced Metering Infrastructure (AMI) Intelligence Hub (AIH): CGI and Databricks are helping a leading U.S. utility unlock the full value of advanced metering infrastructure data to drive smarter grid operations. By modernizing its data and AI foundation on the Databricks Lakehouse Platform, the utility transformed fragmented, hard to access data into real time, actionable insight. With intuitive, natural language analytics using Genie and scalable processing, teams across operations can now detect issues earlier, improve forecasting and respond faster to changing conditions. The result is a more proactive, data driven approach that enhances reliability, strengthens performance and positions the organization to accelerate innovation across the evolving energy landscape. Read this blog to learn more.

IBM
Drone Operations Control Plane is a map-first operations platform that unifies assets, work orders, drone imagery, and environmental data into a single, trusted view of infrastructure health. Built on Databricks Lakebase, it ingests and refines SCADA, EAM/CMMS, weather, and media data to power risk scoring, vegetation analysis, and predictive insights. Automated image classification links drone photos directly to assets and work orders, eliminating manual processes and enabling anomaly detection and maintenance prioritization. By surfacing vegetation encroachment and asset risks proactively, the solution improves inspection traceability, accelerates triage, optimizes resource planning, reduces outages, and enhances safety, compliance, and grid resilience.

Grid &Load Forecasting Agent delivers a scalable utility-grade analytics solution that connects smart meter data to individual transformers, enabling precise visibility into localized demand and asset health. By integrating AMI, weather, GIS, connectivity, and customer data, it powers predictive load forecasting across seasons and conditions, highlighting overload risks before failures occur. Through Databricks Genie, users access conversational insights to explore what-if scenarios for outages, EV adoption, and distributed energy resources. The solution automates manual processes, surfaces emerging risks, and enables proactive planning to optimize distribution, improve reliability, and reduce operational uncertainty across the grid and future performance insights.

Jarvis Consulting
Jarvis Insights Accelerator: Finance-Grade AI Analytics on Databricks Genie Energy finance teams still wait days for answers their data already has. The Jarvis Insights Accelerator, built on Databricks, is a finance-grade data architecture and AI analytics layer that lets these teams have real-time natural language conversations with trusted insights. It connects fragmented source systems such as SAP, PI System, and ETRM into a single governed model on Databricks Unity Catalog, with Databricks Genie pre-configured to understand their business, their terminology, and their data. First domain is live in 4 to 6 weeks, fully managed or co-delivered. CFOs make capital decisions before the window closes, and every number is defensible.

Koantek
Koantek Ascend AI/BI & Genie accelerates scaling Databricks Genie and AI/BI Dashboards from blueprint to enterprise rollout on Unity Catalog. Five horizontal modules (Genie Space Factory, MetricForge, ConvertBI, InsightEmbed, and OneDeploy) plus four industry accelerators (Healthcare, Financial Services, Retail/CPG, Manufacturing) collapse Genie space authoring from 10–15 days to 3 days per domain, auto-generate certified Metric Views from SQL and DAX, migrate Power BI and Tableau estates with parallel-run parity, embed Genie in external products, and roll out Genie UI to 100–500 users with reversible onboarding. The accelerator has been deployed at customers across semiconductor, professional services, life sciences, and manufacturing. Read this blog to learn more.

Lovelytics
Gridlytics: Lovelytics Gridlytics AI accelerator combines environment and asset performance data with the power of the Databricks Lakehouse and AI models to enable proactive risk assessment and ensure system resilience. Gridlytics AI, developed by Lovelytics in partnership with Databricks, is a purpose-built accelerator designed to modernize utility grid operations. By unifying siloed data—including environmental signals, asset performance, and field metrics—into a single "pane of glass" on a governed lakehouse architecture, it enables proactive risk assessment and faster decision-making. The solution leverages GenAI and predictive analytics to automate manual workflows, simulate outage scenarios, and provide natural language querying. Key benefits include up to 30% efficiency gains and 20% productivity boosts, helping utilities transition from reactive maintenance to a resilient, data-driven strategy for modern energy demands. Watch this demo to learn more.

Dronelytics: Dronelytics is an end-to-end aerial intelligence accelerator built on the Databricks Data Intelligence Platform. It automates the ingestion and processing of drone imagery to streamline asset health inspections across transmission, distribution, and renewables. By utilizing Agentic AI and computer vision, the solution identifies critical defects—such as turbine cracks and damaged insulators—with up to 40% faster identification rates. The platform unifies siloed drone data into a secure "single pane of glass" via Unity Catalog, enabling predictive maintenance and prioritized scheduling. This centralized architecture reduces manual effort and redundant field operations, delivering an estimated $750k–$900k in annual labor efficiency gains per asset type. Watch this demo to learn more.

Veglytics: Veglytics is an end-to-end vegetation management solution built on Databricks Apps and powered by Lakebase. It accelerates time-to-value by utilizing a purpose-built data model and automated pipelines that integrate LiDAR, aerial imagery, and asset data to generate high-resolution risk insights. The platform enhances visibility through unified dashboards and high-performance 3D LiDAR visualizations, allowing utilities to move from reactive to proactive maintenance. By incorporating AI-assisted planning and integrated crew workflows, Veglytics significantly increases operational efficiency. This enables faster work order generation and targeted tree-trimming, ultimately reducing wildfire risks, ensuring regulatory compliance, and optimizing multi-million dollar annual O&M expenditures. Watch this demo to learn more.

Meteolytics: Meteolytics is a high-performance analytics solution designed to transform complex meteorological data into actionable business intelligence. Built on the Databricks platform, it unifies disparate weather sources to provide energy and utility companies with predictive insights into supply, demand, and climate impacts. The tool features geospatial mapping, automated alerting, and scenario simulations to safeguard infrastructure and optimize renewable energy grids. By integrating real-time weather feeds with operational data, Meteolytics AI helps organizations reduce O&M expenses and achieve up to 30% time savings for meteorologists through streamlined, interactive visualizations. Watch this demo to learn more.

Windsights: Windsights is an AI-powered predictive maintenance accelerator built on the Databricks Data Intelligence Platform. By unifying high-frequency SCADA telemetry, meteorological data, and aerial imagery into a governed Lakehouse, it enables utilities to transition from reactive to proactive asset management. Utilizing custom deep learning models and LLMs, Windsights identifies complex failure patterns to predict component degradation before it occurs. This approach reduces turbine downtime by 35–50% and significantly lowers O&M costs through planned, condition-based interventions. Delivered via a user-friendly Databricks App, the solution optimizes fleet performance, improves technician safety, and extends the overall lifespan of wind assets. Watch this demo to learn more.

Energylytics: Energylytics is a unified, AI-powered intelligence platform developed by Lovelytics to modernize energy trading. Built on the Databricks Data Intelligence Platform, it centralizes disparate data—including market prices, weather patterns, and grid conditions—into a single source of truth. By replacing manual spreadsheets with real-time visibility and predictive analytics, the platform helps utilities optimize trading decisions and manage risk. Key features like Databricks Genie and Agent Bricks enable autonomous bid packaging and natural language queries, potentially delivering $20M–$80M in incremental margins while significantly improving operational efficiency for energy trading teams. Watch this demo and read this blog to learn more.

LTM
On Time in Full (OTIF) Risk Predictor: OTIF Risk Predictive Agent adds a proactive intelligence layer on top of SAP execution to prevent late or short deliveries before they happen. It ingests and standardizes order, inventory, warehouse, and logistics signals into a governed lakehouse feature set, scores each order line for OTIF risk, and surfaces hotspots and today’s priority worklist in dashboards. A predictive agent explains root causes in plain language (inventory gaps, DC constraints, carrier/appointment issues, blocks, ASN/docs) and recommends next-best actions such as reallocation, pick/pack reprioritization, carrier swaps, or appointment recovery. Actions are logged, enabling re-scoring, auditability, and continuous learning to reduce penalties and cost-to-serve.

Public Sector

Blueprint Technologies
Casework Anomaly Detection: Casework analysts, finance leads, and program executives can now ask their adjudication data questions in plain English and get governed, traceable answers. Built on Databricks AI/BI Genie and grounded in Unity Catalog, Blueprint's Casework Anomaly Detection accelerator pairs a four-tier anomaly detection stack with a Genie conversational space that surfaces case-volume trends, cost-per-case forecasts, and risk-indicator scorecards. Built and validated in a Databricks + AWS reference implementation against synthetic United States Citizenship and Immigration Services (USCIS) Form I-485 data, the accelerator gives public-sector mission teams on-demand conversational access to the same adjudication data their analysts work from, without writing SQL.

IBM
Citizen Services Copilot & Grants & Program Management Analytics: Databricks Genie brings conversational AI to government agencies, helping them serve citizens and run programs more effectively. The Citizen Services Copilot gives constituents a natural language way to check benefits, track case status, and navigate cross-agency services, cutting through bureaucratic friction. Grants and Program Management Analytics provides administrators full visibility into funding flows, utilization rates, and program outcomes, with the ability to ask complex questions in plain English and get instant answers. Together, these tools modernize public service, accelerate decisions, strengthen transparency, and build lasting citizen trust across every level of government.

Slalom
LakeSpeak: One of Slalom’s public sector customers is modernizing emergency response by using AI-powered tools like LakeSpeak, Slalom’s MCP powered Brickbuilder accelerator, to create dynamic, real-time Situation Reports. This enhances decision-making, reduces manual reporting, and offers an AI assistant for targeted data queries during disasters. LakeSpeak delivers a secure, standardized gateway to expose Databricks Genie and Lakebase to external apps, agents, and enterprise users - without duplicating logic, breaking governance, or rewriting integration patterns. Read this blog to learn more.

Telefonica Tech
Predictive Policing: Telefonica’s predictive policing accelerator, built on Databricks, supports key police reform priorities by enabling more proactive, intelligence-led policing. It brings together data from across policing systems into a single, governed platform, providing a real-time view of crime, emerging trends, and harm-based prioritisation. Geospatial hotspot analysis and AI-driven insight help focus attention where it matters most. Integrated with Databricks Genie, the solution allows users to explore data using natural language, investigate trends, and answer operational questions without technical support helping forces act earlier, allocate resources more effectively, and improve outcomes for communities. Watch this demo to learn more.

Clare’s Law: Telefonica’s Clare’s Law accelerator, built on Databricks, supports key policing priorities such as tackling violence against women and girls by improving the speed and consistency of safeguarding decisions. It brings together data from multiple systems into a single, governed view, enabling faster assessment of risk across individuals and incidents. AI-driven summaries highlight patterns, escalation, and key risk factors, while providing clear, explainable recommendations to support disclosure decisions. Integrated with Databricks Genie, users can explore case data using natural language, reducing manual effort and variability. The approach can also be extended to schemes such as Sarah’s Law, supporting broader safeguarding outcomes. Watch this demo to learn more.

Retail, Consumer Goods, Travel & Hospitality

Celebal Technologies
Dynamic Pricing: Celebal Technologies’ Dynamic Pricing Solution enables enterprises to operationalize pricing as a real-time, data-driven capability on Databricks. Built for airlines and other high-velocity industries, it ingests streaming booking data, integrates competitor pricing feeds, and enriches demand with external signals such as events and seasonality within a scalable Lakehouse architecture. It applies machine learning to estimate price elasticity, forecast demand using advanced forecasting models, and optimize decisions, helping teams simulate scenarios and respond to market changes. With Databricks Genie, users can explore pricing drivers and validate decisions through interactive dashboards and natural language queries. Explore how this dynamic pricing approach works in this solution blog.

CGI
NOTAM AI: CGI enables airlines to unlock the full value of aviation data by transforming it into actionable intelligence with the Databricks Lakehouse Platform. By connecting and contextualizing mission critical data, airlines gain clear insights that support faster, more confident decisions across flight operations. Role based access, real time visibility and trusted data governance empower teams to improve situational awareness and operational performance. With Databricks Genie, users can engage data through natural language to accelerate insight and reduce reliance on technical resources. This modern data foundation helps airlines scale innovation, enhance efficiency and drive safer more responsive operations across the enterprise. Read this blog to learn more.

EPAM
Revenue Growth Management Intelligence: Revenue teams in CPG and HLS lose days every cycle pulling pricing, promotion, and trade-spend data across fragmented systems, then waiting on BI teams for answers. EPAM's Revenue Growth Management Intelligence accelerator turns that workflow conversational. Built on Databricks Genie with Unity Catalog governing the underlying commercial data, it lets revenue managers ask natural-language questions about pricing performance, promotion ROI, and trade-spend effectiveness; and get governed, citation-backed answers in seconds. The accelerator includes pre-built Genie spaces, semantic instructions, and KPI definitions tuned for commercial analytics. The solution has been deployed with a global leader in dairy nutrition, and with a top-five global biopharma company, to compress decision cycles from days to minutes.

Inventory Intelligence: Inventory mismatches — stockouts, overstock, expiring products — are detected too late because supply chain teams depend on weekly reports rather than real-time visibility. EPAM's Inventory Intelligence accelerator wraps a conversational layer around inventory health data using Databricks Genie. Supply chain managers ask plain-language questions about stock positions, shortage risk, and the drivers behind anomalies, with Unity Catalog enforcing data governance and access controls across regions and brands. The accelerator ships with pre-built Genie spaces, inventory KPI definitions, and supply-chain semantic instructions. The accelerator has been deployed with one of the world's largest prestige beauty companies, and with a global CPG company in food, snacks, and pet care, to shorten the gap between detection and action in global supply chains.

Integrated Business Planning: Integrated Business Planning relies on cross-functional alignment across demand, supply, finance, and commercial — but IBP cycles still depend on static decks and manual data pulls that are stale by the time leadership reviews them. EPAM's IBP accelerator brings Databricks Genie into the planning cycle. Planners ask natural-language questions about demand signals, supply constraints, financial impact, and scenario trade-offs, with Unity Catalog governing the integrated planning data layer. The accelerator includes Genie spaces tuned for S&OP and IBP cadences, plus reference instructions for cross-functional planning. This accelerator has been deployed with a global CPG company in food, snacks, and pet care to make IBP cycles faster, more transparent, and decision-ready.

Fractal Analytics
Retail AI/BI Modernization with Databricks Genie: This solution accelerates retail decision intelligence by modernizing legacy Qlik reporting into Databricks AI/BI Dashboards and Genie-powered analytics. Built on a Databricks Lakehouse, it re-anchors data, semantics, and KPIs on Databricks to address tool sprawl, semantic inconsistency, and limited AI readiness. Databricks Genie enables business and analyst users to explore governed retail data using natural language, supporting exploratory, AI-led, and cross-domain analysis across sales, supply chain, promotions, and loyalty data. Critical Qlik content is rationalized and selectively migrated to Power BI for executive and operational reporting, while Genie and AI/BI Dashboards are used for high-change, high-question workloads. The result is higher trust in KPIs, faster decision-making, and a scalable foundation for AI/BI-led retail analytics. Read this blog to learn more.

AI-driven Quality Intelligence and Risk Prediction: This solution enables CPG organizations to improve how quality risks are identified, analyzed, and mitigated across plants by unifying quality data on the Databricks Lakehouse. Previously fragmented quality analysis across recalls, manufacturing defects, supplier nonconformance, audits, materials, batches, and complaints is standardized and integrated on Microsoft Azure, creating a single quality intelligence layer. Databricks Genie is used to provide a governed, natural‑language interface over Unity Catalog–registered datasets. It allows quality and operations teams to ask context‑specific questions and receive data‑backed insights, summaries, and visualizations without manual analysis. Predictive models built using Databricks Machine Learning and MLflow assess the likelihood of potential quality incidents, while correlation analysis supports faster root‑cause identification. Together, this reduces investigation cycles from weeks to days, improves visibility across stakeholders, and enables earlier, prevention‑focused quality actions at scale. Read this blog to learn more.

Genpact
Finished Goods Waste Intelligence Solution: Warehouses ship newest stock first (ignoring FEFO), while large retail customers require ~60-day code-date windows — silently building a pipeline of near-expiry FG inventory with no proactive alert or redeployment mechanism. Genpact’s solution provides customer-specific code-date rule engine (configurable per retailer), batch-level projected expiry risk with $ waste probability, real-time FEFO violation alerts + warehouse picking recommendations and automated redeployment matching against open orders & netted demand.

Infocepts
OptiStore: Infocepts OptiStoreAI is a suite of AI‑powered retail solutions that integrates seamlessly with existing store operations to improve operational efficiency, reduce downtime, and elevates shopper experience. With its Databricks native architecture comprising of Unity Catalog, Lakehouse, Lakebase, MLOps, AI/BI Dashboards and Databricks Apps, it enables faster identification of underperforming stores with comprehensive diagnostics, impact analysis, proactive store‑wise alerts, and recommendations to prevent lost sales powered by AgentBricks and AI/BI Genie. Customers can leverage OptiStoreAI to address a range of use cases from store performance, store launch risk, expansion intelligence, planogram compliance to store assist across their retail network.

LatentView Analytics
AURA: AURA by LatentView is a retail media intelligence and optimization platform designed to unify planning, measurement, simulation, and optimization across the entire retail media lifecycle. Powered by AI-led decisioning and agentic workflows, it enables retailers and brands to predict outcomes, diagnose performance gaps, and take proactive actions. The platform integrates data across channels to deliver real-time insights, improve campaign effectiveness, and enhance budget allocation. By continuously learning and optimizing, AURA helps drive measurable growth, profitability, and advertiser confidence while ensuring consistent performance across omnichannel touchpoints in an increasingly complex and competitive retail media landscape for modern retailers and brands. Read this blog to learn more.

Pricing Analytics (RGM): The E2E Pricing Analytics suite by LatentView enables organizations to optimize pricing architecture across the entire value chain. Designed for CPG and retail companies, it integrates consumer analytics with machine learning to generate actionable insights across price pack architecture, elasticity, premiumization, and market response. The solution drives volumetric growth through shopper-centric pricing strategies and enhances precision using elasticity and cross-elasticity intelligence. It also identifies portfolio gaps and uncovers pricing opportunities through occasion-led diagnostics. By combining advanced analytics with strategic frameworks, the platform empowers businesses to make data-driven pricing decisions, maximize revenue, and stay competitive in dynamic market environments. Watch this demo and read this customer story to learn more.

Promotion Analytics (RGM): The Promotion Optimizer by LatentView empowers CPG and retail brands to make smarter investment decisions through data-driven promotion strategies. It generates optimized promotion calendars, evaluates multiple scenarios, and benchmarks outcomes while accounting for real-world constraints and evolving customer behavior. The solution unlocks fast, data-backed ROI gains by identifying high-impact opportunities and reducing inefficiencies through smart budget reallocation. With automated planning and “what-if” simulation capabilities, it accelerates decision-making and improves execution. By enabling segmented and strategic promotions, it helps brands boost growth, maximize returns, and drive sustained performance in competitive and dynamic retail environments. Watch this demo and read this customer story to learn more.

Lovelytics
SKUlytics: SKUlytics, a strategic retail intelligence platform by Lovelytics, transforms disconnected data into a measurable competitive advantage. By unifying macro-market intelligence with SKU-level precision, the platform empowers teams to grow sales and outpace the competition. It focuses on four critical pillars: Brand Visibility, Engagement, Conversion, and Optimization, tracking key drivers like SEO rank, content health, and stock availability. These insights drive quantifiable business value, achieving up to 98% On-Shelf Availability (OSA), 20% ROAS improvement, and 95% automation of data flows. Ultimately, SKUlytics harmonizes media and pricing data to optimize the customer experience and protect profitability margins. Watch this demo and read this blog to learn more.

Merchlytics Data products for retail merchandising: Merchlytics establishes a Foundational Data infrastructure that eliminates manual reconciliation, providing a unified 360-degree view of sales and performance. The suite drives quantifiable value through AI-driven Forecasting, optimizing reorder points to reduce out-of-stocks and excess inventory. By leveraging Vendor Scorecards and Assortment Optimization, teams can rationalize SKUs and align localized inventory with specific demand patterns. Finally, the platform maximizes Pricing & Promo Effectiveness, utilizing scenario planning to reduce margin leakage and ensure optimal price points across all channels. Watch this demo to learn more.

LTM
On Time in Full (OTIF) Risk Predictor: OTIF Risk Predictive Agent adds a proactive intelligence layer on top of SAP execution to prevent late or short deliveries before they happen. It ingests and standardizes order, inventory, warehouse, and logistics signals into a governed lakehouse feature set, scores each order line for OTIF risk, and surfaces hotspots and today’s priority worklist in dashboards. A predictive agent explains root causes in plain language (inventory gaps, DC constraints, carrier/appointment issues, blocks, ASN/docs) and recommends next-best actions such as reallocation, pick/pack reprioritization, carrier swaps, or appointment recovery. Actions are logged, enabling re-scoring, auditability, and continuous learning to reduce penalties and cost-to-serve.

Price Elasticity Solution: Pricing for CPG brands shouldn't feel like guesswork. Price Elasticity solution takes the complexity out of the equation by gathering your sales, promotions, and competitor info into one clear, organized "Lakehouse." By using Microsoft’s data standards, we ensure everyone is finally speaking the same language. With reliable models and Genie, customer teams can test-drive pricing changes before they go live. Customers can see exactly how a shift might impact demand or revenue, helping them balance their stock and their profits. The solution turns messy data into a clear roadmap for smarter, faster wins.

Shipment Delay Analytics: The Shipment Delay Analytics solution is built end-to-end on Databricks, leveraging Delta Lake and Unity Catalog for governed data ingestion, storage, and access control. Shipment data is ingested into Databricks Lakehouse for scalable analysis of delay reasons, carrier performance, distance, and geographic trends. Databricks Genie enables business users to generate forecasts through natural language prompts without heavy ML engineering. Results are explored and shared using Databricks SQL and Dashboards for visualization. Together, these Databricks components enable proactive planning, operational optimization, improved SLA adherence, and enhanced customer satisfaction through data-driven insights.

Aircraft Health Monitor: Aircraft Health Monitor continuously assesses fleet engine health, predicts Remaining Useful Life (RUL), and supports maintenance scheduling to reduce both unexpected failures and unnecessary over-maintenance. Using historical sensor readings from engines that failed in operation, it estimates how many more cycles each engine can safely run and classifies engines into actionable condition bands (e.g., critical vs monitoring). Data is governed in Unity Catalog through three tables—Historical, Prediction, and Comprehensive—while an ML notebook trains multiple algorithms, selects the best RUL model, and is consumed in publishing predictions. AI/BI dashboards and Genie enable interactive filtering, year-over-year comparisons, and natural-language queries for rapid decisions. Read this blog to learn more.

Polestar Analytics
Promo Pulse: PromoPulse is an AI-powered Trade Promotion Optimization solution built for mid-to- large CPG commercial teams. It replaces disconnected BI dashboards and manual Excel-based planning with a unified decision cockpit that guides users through a structured Observe → Adjust → Finalise workflow. Key capabilities include promotion-level quadrant classification (Scale / Optimize / Experiment / Stop), a multi-step budget simulation engine with real-time ROI projection, automated narrative insights, and Databricks Genie — a conversational AI assistant embedded across every page. The result: commercial teams move from fragmented data to a finalized, AI-optimized promotion plan — in a single platform session, not weeks of manual analysis.

Price Pulse: PricePulse is an AI-powered pricing optimization solution built for CPG and Retail organizations. It helps commercial teams diagnose margin erosion, analyze price elasticity, benchmark against competitors, and simulate pricing scenarios before committing to changes. It combines descriptive analytics, predictive demand modeling, and AI-driven recommendations into a single guided workflow, from insight to decision to execution. Designed for business users with no coding required, it integrates with enterprise platforms like Databricks and Anaplan. Key capabilities include SKU-level intelligence, competitive benchmarking, pack architecture analysis, and a scenario simulation engine that projects revenue, volume, and margin impact in real time.

Tenarai
Tenarai’s Bolt ‘Self-Serve Analytics in Action’ empowers Sales and Marketing leaders to move beyond sifting through dashboards to driving important decisions with quick insights. By operationalizing Databricks Genie on a foundation of Unity Catalog, Tenarai bridges the "last mile" bottleneck of manual data requests. Using Agent Mode for multi-step reasoning and a curated Knowledge Store, the solution delivers governed, natural language answers in seconds. Scaled for a Global Nutrition Leader across 40+ countries, this architecture significantly reduces ad-hoc reporting while ensuring 100% transparency and auditable logic. Watch this video and read this blog to learn more.

Tiger Analytics
AI Cost Price Assistant: In an increasingly data-driven landscape, a prominent dairy cooperative, faced significant challenges in providing its business users with timely and accurate commercial insights. Limitations in data cataloging and quality hindered ad-hoc analysis capabilities, restricting the decision-making process. In response, Tiger Analytics implemented the Databricks Genie AI Assistant to enhance data accessibility and analytical efficiency. This innovative solution seamlessly integrates diverse market data, enabling users to perform conversational, self-serve commercial analysis within minutes. The deployment of this AI-driven tool marks a pivotal advancement in empowering the company’s business operations, fostering a culture of data-informed decisions and responsive strategic planning.

Digital Campaign Insights: In an effort to enhance digital marketing strategies, a global consumer brand employed Databricks Genie to conduct a comprehensive analysis of customer journey data. By examining the interplay between email engagement metrics and channel performance, the brand was able to establish significant correlations between email segment activity and website traffic. This innovative approach yielded valuable cross-domain insights, ultimately facilitating more efficient marketing audits and driving improved conversion analysis. Through these efforts, the company has positioned itself to better understand consumer behaviour and optimize its marketing initiatives.

Agentic Bot: In the dynamic world of beauty care, a major player faced significant challenges due to unstructured Consumer Science data predominantly trapped in PDFs, which created substantial insight bottlenecks. To overcome this issue, Tiger Analytics developed an innovative automated parsing pipeline coupled with an agentic chatbot. This solution efficiently processed over 250 million rows of data, enabling rapid and self-service data querying. The implementation not only streamlined operations but also drove substantial cost savings for the brand, ultimately enhancing decision-making capabilities and promoting a more agile response to consumer insights within the beauty market.

Accelerate Industry Outcomes with Partner Solutions
The future of industry-specific innovation lies in removing the technical barriers between business experts and their data. By combining Databricks Genie with deep domain expertise, our partners are helping organizations move from reactive reporting to proactive, conversational intelligence. Reach out to your Databricks account team or any of these partners to learn about these solutions in detail and see how you can start your own conversational AI journey with Genie today.

Stay tuned for the next blog in the series, where we will share Cross-Industry Technology and Function-specific partner accelerators and GenAI partner solutions aligned to industry-specific outcomes.

Get Started with Brickbuilder Solutions and Accelerators
Explore our full set of partner solutions and accelerators on the Databricks Brickbuilder page, including AI, ML, and Data Engineering focused accelerators and industry focused solutions.