In today’s rapidly evolving technology landscape, generative artificial intelligence (GenAI) is revolutionizing the way organizations work and is opening up new worlds of possibilities for businesses. According to a recent Economist report that surveyed 1,100 technical executives, data engineers, data scientists, and architects, only 37% believe their GenAI applications are production-ready. The main challenge is with data infrastructure issues like silos, latency, and security and therefore, their applications fail to deliver business-specific, accurate, and well-governed outputs. To address these challenges, organizations are moving beyond deploying a single model to deploying comprehensive Agent Systems.
That is why we’re excited to announce GenAI partner accelerators built on the Databricks Data Intelligence Platform, which help organizations deploy AI Agent Systems. These accelerators were developed by consulting and system integrator partners who have the proven expertise and capabilities to help customers more quickly implement their generative AI strategy and position themselves for the future. Each partner provides a full range of services, tools, and repeatable frameworks built on Databricks Mosaic AI to give their customers flexibility and choice across use cases and technologies.
“With Mosaic AI's comprehensive suite of generative AI solutions, we're helping our customers build, deploy and evaluate AI Agent Systems—and our partners are critical to our success,” said Naveen Rao, Vice President of AI at Databricks. “We are excited to recognize and highlight the partners who have proven generative AI success stories on the Databricks Data Intelligence Platform and are helping support our customers’ unique AI use cases.”
For this launch, we are highlighting two types of GenAI offerings:
1. GenAI Accelerators: build production-quality AI Agent Systems that are integrated with enterprise data.
2. RAG Proof of Concepts: rapidly iterate and test your GenAI hypothesis in as little as 4 weeks before moving into production.
Featured partners include Accenture, Aimpoint Digital, Capgemini, Celebal Technologies, Computomic, Entrada, EPAM, EY, Exponentia.ai, Infosys, Koantek, LatentView, Lovelytics, Slalom, Tredence, Wipro, and zeb.
As organizations increasingly rely on data for innovation, the Databricks partner ecosystem is helping businesses build and train GenAI applications, reduce costs, and differentiate from the competition. Because our GenAI partners are trained and certified in Databricks’ suite of machine learning and AI technologies, they are uniquely positioned to help you quickly and effectively implement GenAI applications and propel your business forward.
Additionally, each GenAI partner accelerator has gone through rigorous validation by the Databricks Partner Solution Architects and Brickbuilder Accelerator team, fully confirming their expertise in leveraging Databricks Mosaic AI technologies such as Model Serving, Agent Framework, Vector Search, Model Training and AI Gateway. These accelerators are built on the Databricks Data Intelligence Platform and leverage core capabilities including Data Engineering, Lakehouse Monitoring, and Unity Catalog. By validating our partner’s business and technical expertise, Databricks customers are able to collaborate with these partners with greater confidence and achieve positive business outcomes.
By developing their GenAI partner accelerator on Databricks Mosaic AI, our partners are able to help you build AI Agent systems that:
The following partner-developed accelerators help you deploy, operationalize, and monitor GenAI applications. They are helping Databricks customers globally to achieve their GenAI goals time and time again with proven results:
Accenture has two GenAI solutions built on the Databricks Data Intelligence Platform: Skills.ai and Intelligent Pricing. Accenture's Skills.AI is a solution that uses data and AI to inform talent strategy. Through labor market scans, workforce analysis, and competitor benchmarking, combined with a deep understanding of your business objectives, Skills.AI delivers an optimal talent strategy to close skill gaps and future-proof your business by utilizing the power of Databricks. Additionally, the Intelligent Pricing solution helps Consumer Packaged Goods companies strategically set effective product prices. It is a unified pricing platform with a modular design built with cloud-native technologies and leveraging microservice architecture. Accenture chose Databricks for these use cases because of its integrated data and AI functionality and governance, ease of use for Generative AI capabilities, and its flexibility to handle all data types.
Capgemini Reliable AI Solution Engineering (RAISE) is an operational accelerator designed to deliver value cases across industries. Built leveraging the Databricks Data Intelligence Platform, Capgemini RAISE is available on Microsoft Azure, Amazon Web Services, and Google Cloud Platform. It supports the industrialization of custom GenAI projects by enabling unified controls with tangible results: reduces run costs by up to 80% over a single massive-scale LLM, accelerates delivery by up to 60% across multiple applications, and identifies issues up to 40% faster than manual monitoring. While businesse are progressively moving to massive scale with GenAI factories, Capgemini RAISE is the foundational enabler to deliver trusted results throughout the entire GenAI lifecycle, thanks to reusable assets and minimized risk.
Read this point of view to learn more about how Capgemini RAISE can help you build success as a GenAI data-powered enterprise.
Celebal Technologies is committed to enhancing enterprise operational efficiency through innovative AI-driven digital transformations. By leveraging the Databricks Data Intelligence Platform and Mosaic AI, Konverto AI enables enterprises to effectively utilize and implement GenAI, delivering critical insights from their data. As a robust conversational AI platform, Konverto AI enables enterprises to create, deploy, and manage AI-powered chatbots without extensive technical expertise while democratizing AI access. Built on Databricks' enterprise-grade infrastructure, Konverto removes traditional challenges associated with AI implementation, boosts customer engagement, and cuts deployment time. With an intuitive analytics dashboard, enterprises gain actionable insights into performance metrics, fostering ongoing improvement.
Read this blog to learn more about how Celebal Technologies Konverto AI simplifies GenAI for businesses.
Entrada’s Gatehouse Security Solution provides your organization with a centralized, cost-effective solution for storing, monitoring, and enriching SIEM data to enhance its cybersecurity capabilities. Built on the Databricks Data Intelligence Platform, Entrada’s solution employs proprietary graph networks and large language models to monitor network events and alert you to genuine threats. In the event of a detected threat, event graphs provide quick insight into root cause analysis and total downstream impact. Entrada’s solution offers robust threat detection by creating custom AI/ML algorithms and automation with expanded lookback periods. To help you with industry and regulatory compliance, it ensures that your needs are met by providing actionable data retention and look back. Additional benefits include a 360-degree view with enriched data so that you can view your entire technology footprint alongside more contextual data sources. And finally, it offers geofencing to allow you to analyze IoT device location data and user behavior patterns to automatically detect unauthorized access attempts.
Read this blog to learn more about how Entrada Gatehouse Security Solution helps you enhance security posture and meet compliance needs.
Geospatial GenAI, a collaboration between EY, Databricks and Microsoft, transforms complex geospatial data from satellites, drones and sensors into actionable insights. This AI-driven solution enhances decision-making, operational efficiency, and competitive growth by streamlining data integration, reducing costs and providing user-friendly analytics tools.
Watch this video to learn more about how EY Geospatial GenAI gives you the ability to process more information through the power of Generative AI.
Enterprise data often resides in scattered formats, making manual processing slow and error-prone. Traditional tools struggle to integrate structured and unstructured data, causing siloed insights and delays. Powered by GenAI, AIXponent transforms this process, extracting insights from tables, videos, audio, and text via Agentic RAG Framework. As a GenAI-powered Enterprise Business Analyst, it cuts time to insight by 90%. Deployed within 4 weeks on the Databricks Data Intelligence Platform, AIXponent ensures secure, optimized, and responsible AI. As an example, for a global adhesives leader, it reduced sales enablement time by 80% with product recommendations and pricing insights for thousands of SKUs.
Read this blog to learn more about how Exponentia AIXPonent helps you transform enterprise knowledge into action.
Infosys Enterprise AI Workbench is a low-code authoring platform that accelerates the development of AI applications and optimizes costs. Solutions within the Infosys Enterprise AI Workbench include Smart Data Fingerprinting, which helps you manage and harvest knowledge from a variety of information assets and make them consumable by AI systems, and AI Foundation service, which helps you author, manage, test and deploy AI agents at scale. An additional solution is Governance service, a fully configurable microservice to evaluate and govern AI Applications.
AI Penpal, by LatentView Analytics, is a game-changer for B2B email marketing, offering potential double sales closure rates. AI Penpal harnesses the power of both structured data and unstructured data using the Databricks lakehouse architecture and advanced RAG to craft hyper-personalized, data-driven emails for every lead with multilingual support. Seamlessly integrated with platforms like Slack, Microsoft Teams, or Google Chat, it enables marketing teams to create tailored emails in real-time using natural language prompts, streamlining lead engagement. With robust data governance powered by Databricks Unity Catalog, AI Penpal ensures secure, compliant management of customer data. Leveraging cutting-edge models such as Mosaic AI, BGE Large, and state-of-the-art LLM, AI Penpal enhances personalization, accelerates response times, and maximizes lead engagement, driving measurable improvements in sales outcomes.
Read this blog to learn more about how LatentView AI Penpal enables you to craft hyper-personalized emails that resonate with individuals.
Realizing ROI from GenAI requires navigating complex data and organizational challenges with an integrated, strategic approach. Tredence’s ATOM.AI for GenAI meets these demands through a cohesive, three-pronged framework: first, with AI advisory services that ensure data readiness and GenAI maturity; then, with an advanced ATOM.AI toolbox that delivers targeted, industry-specific GenAI solutions using proven, reusable assets and accelerators. Finally, through a collaborative partnership model, Tredence refines your business model embedding GenAI via a Center of Excellence to holistically optimize, scale, and operate GenAI and Data Science solutions, driving lasting impact across your organization.
Read this blog to learn more about Tredence ATOM.AI Document Intelligence revolutionizes private equity deal analysis with GenAI.
Wipro Enterprise GenAI (WeGA) Studio, comprises of a large portfolio of powerful accelerators that help enterprises respond to real-world challenges and move Generative AI solutions from experimentation to production with ease. Their solutions bridge gaps in commercial and open- source models, allowing organizations to rapidly differentiate their capabilities and gain game- changing ROI without having to build everything from scratch. By integrating WeGA with the Databricks Data Intelligence Platform, their GenAI suite addresses needs in different domains like sales, claims, legal, customer support and contact centers. Wipro’s GenAI Contact Center solution delivers improved customer experience and reduces average call handling time and cost per call. Their industry-focused solution, WealthAI, aims to improve financial advisor productivity and decrease customer and advisor retention.
Read this blog to learn more about how Wipro’s GenAI Contact Center makes contact centers more efficient.
SuperInsight is designed to seamlessly integrate with the platforms and in-house systems that businesses already use to manage their extensive data. Recognizing the need for operational users to ask business-specific questions without burdening data analysts, SuperInsight empowers users to gain insights, be notified of trends, and create projections effortlessly through familiar communication tools like Slack and Teams. By prioritizing data privacy, SuperInsight ensures that data remains securely within the customer’s data lake through deployment in the customer’s Databricks instance and is federated using Databricks Unity Catalog. Non-technical users can pose business-critical questions, make forecasts, and create visualizations, receiving immediate and relevant answers powered by advanced Databricks services such as AI/BI Genie and AutoML. The solution continuously evolves, enhancing accuracy on industry-specific terms through configurable MosaicAI fine-tuned adapters and relevance through an automated feedback system, making data-driven decision-making more accessible and efficient for all.
Blog coming soon!
With the ability to automate tasks, enhance productivity, and enable hyper-personalized customer experiences, businesses are seeking specialized expertise to help them build a successful generative AI strategy. To further support this need, we have also partnered with our consulting and system integrator partner ecosystem to package their services and expertise into Retrieval Augmented Generation (RAG) Proof of Concepts, helping customers to rapidly iterate on their proposed Generative AI hypotheses on Databricks in as little as four weeks.
“As businesses increasingly look to harness the power of data intelligence, having clean, accurate, and accessible data is crucial to building AI Agent systems,” said Barry Dauber, Vice President of GenAI GTM at Databricks. “The Databricks partner ecosystem is helping customers to leverage AI and machine learning and apply end-to-end governance for agents, optimizing performance, reducing costs, and staying compliant with evolving regulations.”
A typical RAG Proof of Concept follows this flow:
In this category, partners like Aimpoint Digital, Celebal Technologies, Computomic, Entrada, EPAM, Koantek, Lovelytics, Slalom, and Tredence have showcased deep expertise working with businesses to help them strategize, build, and test a GenAI hypothesis, making it more seamless to prioritize use cases and harness GenAI to achieve real business impact. Check out these partner RAG POCs:
Unlock new possibilities in AI with Aimpoint Digital’s GenAI expertise. Whether you need a quick 4-week RAG proof of concept or a sophisticated compound AI system, they can help you prioritize use cases and harness GenAI to achieve real business impact. Their AI systems design approach ensures that your GenAI use cases move smoothly from concept to production. As an example of this, Aimpoint Digital partnered with Databricks to revolutionize the way travel itineraries are created. They developed a compound AI system powered by two Micro-RAGs—one focused on identifying points of interest and the other on recommending personalized dining options. A Databricks Foundation Model (DBRX) synthesized these insights to produce a seamless, bespoke travel plan that aligned with the user’s interests and preferences. This cutting-edge solution reduces the traditional five-hour planning process to less than a minute, offering travelers and agents an unparalleled level of convenience and personalization.
Read this blog to learn how Aimpoint Digital leveraged AI agent systems and Databricks to build travel itineraries.
To effectively leverage the GenAI capabilities of the Databricks Data Intelligence Platform, one requires deep expertise and hands-on implementation knowledge of LLMs, RAG architectures, data architecture, cloud infrastructure, and software engineering principles. During this 4-week GenAI POC, Computomic Data Scientists will assist with making decisions on prompt engineering vs. RAG vs. fine-tuning. Furthermore, their Data Scientists will provide guidance on designing appropriate workflows leveraging MLflow for experiment tracking and model management, Unity Catalog for data/model discovery and governance, and Model Serving for streamlined deployment. Computomic’s Data Scientists are focused on enabling organizations to take full advantage of Databricks GenAI capabilities and ensure a successful deployment that meets their business needs and delivers enduring value.
Read this white paper to learn how Computomic can help you quickly build a chatbot.
EPAM’s Retrieval Augmented Generation (RAG) for Databricks is redefining how organizations approach generative AI by providing a proven proof-of-concept framework. Over a span of 4-6 weeks, EPAM conducts a sequence of targeted experiments, meticulously tracking key performance indicators to ensure that the generative AI implementations are both effective and aligned with the client’s unique data ecosystems. This integration of semantic search capabilities with large language models ensures that responses generated by AI are not only precise but also tailored to the specific context of an organization's existing documents and knowledge bases. The collaboration between EPAM and Databricks accelerates the setup of crucial infrastructure, crafting tailor-made tools and deploying code essential for piloting innovative generative AI applications.
Koantek’s RAG POC delivers a deployment-ready prototype turning your enterprise data into intelligent, interactive applications in just four weeks. Built on the comprehensive Databricks Data Intelligence Platform, Koantek uses Mosaic AI for end-to-end AI development and operations, Unity Catalog for governance, and gives you complete control over your data and models. With state-of-the-art LLM with advanced RAG and Compound AI capabilities, customers get context-aware applications that directly improve their business operations. The Koantek RAG POC delivers a fully functional MVP, complete with a custom application interface, deployment-ready code, and comprehensive knowledge transfer - everything needed to turn your GenAI vision into reality.
Lovelytics harnesses the Databricks Data Intelligence Platform to deliver transformative GenAI solutions through their RAGtivate Offering, a 6-week POC to unlock and operationalize impactful personalization use cases, including Virtual Agents, Sentiment Analysis, and Voice of the Customer. This offering empowers businesses to implement GenAI at production quality, delivering the accuracy, governance, data security, and LLMOps required for production applications. Lovelytics enables a scalable architecture that integrates with existing Databricks workflows, enabling organizations to create personalized, context-aware, and responsive customer experiences that drive satisfaction and build brand loyalty. From this foundation in RAG, Lovelytics helps clients progress to advanced systems—ranging from Virtual Agents to Compound AI and AI Agents—unlocking the full potential of GenAI to solve diverse business challenges.
Read these Lovelytics blogs to learn more about the next frontier in LLMs or how to implement Compound AI Systems on Databricks.
GenAI is revolutionizing industries with innovative solutions, but many organizations struggle to transition from POC to production. This shift requires business buy-in and investment, focusing on user needs and ROI. Challenges like information overload and complex production paths hinder progress. Slalom’s Up and Running RAG POC, integrated with Databricks' Mosaic AI, addresses these issues by enabling organizations to safely incorporate their data into GenAI applications. This approach ensures accurate, tailored responses, facilitating a smooth transition from POC to production. Key success factors include understanding business value, simplifying technical requirements, and prioritizing user experience. Slalom’s Up and Running RAG solution streamlines this process, combining strategic planning and technical acceleration to drive meaningful business impact. By leveraging Databricks, Slalom empowers businesses to rapidly convert GenAI demos into impactful, user-focused tools.
Read this blog to learn how to deliver scalable, user-focused AI outcomes with Slalom and Databricks.
At Databricks, we continually collaborate with system integrators and consulting partners to enable more use cases across data, analytics, and AI. Want to get started? In addition to GenAI partner accelerators and RAG Proof of Concepts, check out our full set of partner solutions and accelerators on the Databricks Brickbuilder page.
Brickbuilders are a key component of the Databricks Partner Program and recognize partners who have demonstrated a unique ability to offer differentiated data, analytics, and AI solutions and accelerators in combination with their development and deployment expertise.
Partners who are interested in learning more about how to create a Brickbuilder Solution or Accelerator are encouraged to email us at [email protected].
