GENERATIVE AI CENTER OF EXCELLENCE

Now is the time to capitalize on the GenAI opportunity.

2024 Databricks Data and AI Governance Partner of the Year
Sample Vendor in 10 Gartner Hype Cycles for Augmented FinOps

Solution

CampaignIQ

Help marketers optimize campaigns, define audiences, and boost ROI

Accelerator

AI Factory

Bring AI to life with a structured model that delivers production ready solutions in 12 weeks

solution

Intelligent SOP

Harnessing GenAI for dynamic Standard Operating Procedures

Report

Manage D&A Cloud Costs With Tool-Powered Budget Controls (September 2025)

AI Factory Overview

Modular engagements

Modular by design. Built for speed.

1-Day readiness workshop

This session is designed to identify high-value use cases and quickly assess your organization’s readiness to begin leveraging Databricks for AI. It includes enabling access, validating data sources, reviewing current governance and skills. You’ll leave with a prioritized list of opportunities, a snapshot of your current environment, familiarity with Databricks AI tools, and a recommended path forward.

6-Week foundations engagement

This engagement builds the groundwork for successful AI delivery by evaluating your environment, refining governance, and designing a user experience tailored to your use case. It includes defining success criteria, reviewing Center of Excellence maturity, and selecting the appropriate delivery path whether through Genie, AI/BI, or Databricks apps.

12-Week build & deploy engagement

This engagement takes your AI use cases into production with governance, orchestration, and user experience fully implemented. It includes building models or agents, deploying them using Databricks tools, and integrating them into automated workflows and user-facing interfaces. The result is AI solutions in production, governed and cost-optimized, ready to deliver measurable business value on Databricks apps.

What are large language models (LLMs)?

LLMs are a type of artificial intelligence (AI) system trained on vast amounts of text data to understand natural language and produce human-like responses to inputs. LLMs use advanced machine learning (ML) algorithms to understand and analyze the nuances of human speech, including syntax, semantics and context meanings. They are used in various applications, including chatbots, virtual assistants, language translation, content creation and scientific research.

$1.7B

in VC investment in generative AI solutions over the past 3 years (Gartner) 

$42.6B

expected investment in global generative AI market in 2023 (Pitchbook) 

A leader in Generative AI

Award-winning solutions & thought leadership

Featured articles

Webinars all about Generative AI

Your one-stop Databricks partner

Be our next success story

Modular engagements

1-Day Readiness Workshop

Assess environment, validate data, and map opportunities.

6-Week Foundations Engagement

Establish governance, success criteria, and delivery path.

12-Week Build & Deploy

Deliver AI in production with UI, orchestration, and control.

Interested in a GenAI CoAA or Advisory Services?

Let's Talk.

Master High-Stakes Database Migrations: Reduce Risk and Accelerate AI Readiness

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Master High-Stakes Database Migrations: Reduce Risk and Accelerate AI Readiness (February 2026)​

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