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Prophecy at Databricks Data + AI Summit 2026

June 15-18 | Moscone Center | Booth #610

Your data stack is modern. Your workflow for building on it isn’t Let’s fix that.

Join us at Databricks Data + AI Summit in San Francisco.

We bring the power of Claude Code to your Business Data Users. Use AI agents to build visual data workflows with governance and scale on Databricks.

How Prophecy Works

User describes business goal to agent

Agent generates a workflow to prepare the data, user refines

Agent generates insights from the prepared data

Preparation

How Agentic Data Prep & Analysis Works

Phase 1 – Preparation: The user describes a business goal in natural language (example: "segment marketing leads by campaign"). The AI agent reads the knowledge graph, thinks through the logic, and writes a data pipeline. Intermediate steps visible to the user include joins, filters (e.g. "status = new"), and segment definitions against account detail data.

Phase 2 – Review: The agent surfaces its work as a visual pipeline that the user can inspect step by step — showing exactly how the data was prepared, what was joined, and what was filtered. Users can refine any step before proceeding.

Phase 3 – Analysis: Once the prepared data is validated, the agent generates insights and visualizations. Example output: "There are 3 segmentations of the marketing leads with interesting insights." Results are rendered as charts and summaries the user can act on immediately.

Analysis

There are 3 segmentations of the marketing leads with interesting insights. Let’s visualize them below:

Demo: AI agent workflow in action. A user types the prompt: "segment marketing leads by campaign." The Prophecy AI agent immediately begins working: it reads the Knowledge Graph to understand available data, thinks through the required logic, and writes a data pipeline. The pipeline joins the open leads table with account detail data, applies a filter for status = new, and segments the results by campaign. Once complete, the agent responds: "There are 3 segmentations of the marketing leads with interesting insights" and renders them as visualizations for the user to review.

SPEAKING SESSIONS

From Weeks to Minutes: Democratizing Marketing Analytics with Governed AI Agents on Databricks

Join Prophecy and Acxiom at the Databricks Data + AI Summit to see how AI agents are transforming enterprise marketing analytics. Discover how a specialized AI agent converts business intent directly into governed, production-grade data pipelines on Databricks — automating segmentation, propensity, and affinity modeling without requiring SQL or cross-team handoffs.

What once took weeks across multiple teams now happens in minutes through a single conversational workflow, with full auditability and lineage under Unity Catalog. Learn how embedding institutional knowledge into reusable AI skills is fundamentally reshaping how marketing teams operate.

SPEAKERS

Ankur Jain

Chief Cloud and Data Modernization Officer

Acxiom

Bhaskar Dutta

Director, Ai Product Management

Prophecy

Accelerating Investment Decisions with  Specialized Claude Code

Join Waterfall Asset Management and Prophecy at the Databricks Data + AI Summit to learn how AI is eliminating one of the most stubborn bottlenecks in loan portfolio management.   

Discover how a specialized Claude Code harmonization agent automatically maps inconsistent loan tapes into a common schema — delivering 93% first-pass accuracy and continuously improving through user feedback. With built-in confidence scoring, reasoning, and lineage, analysts get the transparency they need for a fast final validation pass. Combined with Prophecy's Agentic Analytics for ad hoc analysis, teams now run collateral-quality checks and stratifications with far less dependence on data specialists — translating directly into faster, more confident investment decisions.

SPEAKERS

Shehzad Nabi 

Chief Technology Officer

Waterfall Asset Management

Maciej Szpakowski

Chief Technology Officer

Prophecy

Automate Data Prep with Specialized Claude CodeData Prep, Reimagined: Agentic Workflows on Databricks

Data preparation is no longer a manual process. In this Prophecy session at the Databricks Data + AI Summit, see how business users can simply describe their goal and let AI agents do the heavy lifting — automatically onboarding data, building visual data preparation workflows, and delivering analytical insights, all with a simple human validation step.   

We'll also demo Prophecy's Alteryx import feature, enabling teams to bring existing workflows onto Databricks with enterprise-scale performance and Unity Catalog governance. The result: faster time to insight, without the technical bottlenecks.

SPEAKER