Databricks AI for Ad Sales

Bring Enterprise-Scale AI to Your Advertising Operations

Databricks AI brings advanced machine learning, generative AI, and LLM orchestration into a single, scalable platform, making it possible for ad sales organizations to build and deploy production-ready AI models that drive real business outcomes.

From campaign forecasting to inventory optimization and audience targeting, Databricks AI empowers technical teams to customize and scale AI across the entire ad sales lifecycle—with full control over the data, models, and deployment logic.

This is industrial-grade AI for organizations ready to do more than experiment.

Put Your Data to Work in a More Intelligent Way

Databricks AI helps ad sales organizations turn their complex, high-volume data into predictive intelligence, faster and with more flexibility.

For ad sales leaders, this means:

- Smarter inventory and pricing models based on live pacing, demand, and seasonality
- Deeper audience insights and clustering, optimized for multi-channel monetization
- AI-driven campaign recommendations that go beyond human pattern recognition
- Predictive alerting and automated decision triggers embedded in workflows
- Faster model development and iteration, supported by collaborative notebooks and real-time data

At V2, we help teams harness Databricks AI to create real competitive advantage, whether it’s reducing time-to-insight, improving yield, or unlocking net new revenue through smarter automation.

V2 can help with ad sales and data cloud

Why Databricks AI Matters to Ad Sales Teams

AI is only as good as the data and infrastructure it runs on.
For most ad sales orgs, data is scattered across CRMs, OMSs, delivery platforms, and custom tools—making it difficult to feed AI models reliably.

Databricks solves that problem at the root.

- It centralizes your data, unifies it with your business logic, and enables teams to run AI against it in real-time
- It allows technical teams to use their preferred tools—Spark, Python, SQL, MLflow, etc.—on a fully governed platform
- It enables the creation of custom agents and production-grade models, not just prompts or copilots

This is how ad sales orgs go from “playing with AI” to engineering their next wave of growth.

How It Fits Within the Ad Sales Tech Stack

Databricks AI acts as an intelligence layer that complements your existing systems.

Key roles Databricks AI can play in your tech stack

- Analyze complex historical performance to power predictive pacing models
- Forecast impression or inventory gaps before campaigns are sold
- Score opportunities or advertisers based on modeled intent or risk
- Connect advertising performance to business outcomes via advanced analytics
- Serve AI outputs into downstream platforms (like CRMA, MCI, Tableau, or even Agentforce)

For mature ad sales orgs already managing large data sets or using multiple BI tools, Databricks AI becomes the central engine that makes all of them smarter.

Where Databricks AI Stands Out (Compared to Other AI Solutions)

Many AI tools are surface-level—they generate copy, answer questions, or summarize notes.
They’re useful. But they’re not transformative.

Databricks AI is different:

- Customizable to the core – Teams can train, tune, and orchestrate models exactly how they need
- Scalable across the enterprise – Built to support massive data volumes, thousands of models, and distributed workloads
- Language-model agnostic – Use open models, proprietary LLMs, or mix them for optimal outcomes
- Highly technical and deeply integrated – Built for engineers, data scientists, and analysts—not just end users
- Excellent for advanced R&D and competitive differentiation – Helps top media and retail players engineer their own IP

Compared to Agentforce, which is purpose-built for operational AI embedded in Salesforce, Databricks AI is purpose-built for custom AI, offering a full platform to invent, test, and deploy your own models across any business need.

They’re complementary, not competitors.

Why We Recommend Databricks AI for Ad Sales

We’ve worked with high-performing ad sales organizations that don’t want out-of-the-box AI—they want to push boundaries.
For those teams, Databricks AI is the right tool.

At V2, we help ad sales organizations use Databricks AI to:

- Build better models for demand planning, pacing, and campaign optimization
- Connect unstructured and structured data for new types of insights
- Develop proprietary AI IP that powers real competitive differentiation
- Integrate these outputs into their day-to-day tools and platforms
- Future-proof their AI investments through scalable, open architecture

Databricks AI is how serious companies get serious results.