Observed Signal · Jun 16, 2026 · Conference Presentation · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Artefact Showcases Agentic Workforce at Databricks Summit
Artefact, a global data and AI consultancy, demonstrated production-ready agentic AI solutions built on Databricks at the Databricks Data + AI Summit (booth #674). Through a live session led by Harry Morphakis and demonstrations, Artefact argued enterprises fail on AI adoption when applying models to legacy processes and presented a blueprint for designing hybrid human-agent workflows. Artefact showcased five demos — conversational marketing measurement, synthetic personas for financial services and CPG, an AI beauty shopping assistant, and a logistics resolution assistant named Corrie — and highlighted its status as a Bronze Databricks partner with 300+ certified experts and 50+ joint global customers. Artefact said it is focused on Genie & AI/BI, Lakebase, EDW migrations, and Agentic AI to help move pilots into production.
Demonstrates practical, production-focused agentic AI and Databricks-based architectures relevant to marketing and operations, but is a vendor showcase at a conference rather than a major platform policy or industry-shifting technical release.
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Key Takeaways & Evidence Grounding
- Artefact is showcasing production-ready agentic AI solutions at the Databricks Data + AI Summit (booth #674).
- Artefact presented five demos: conversational marketing measurement; synthetic personas for financial services; AI beauty shopping assistant; synthetic personas for CPG; and Corrie, a logistics resolution AI assistant.
- Artefact is a Bronze Databricks partner with 300+ certified experts and 50+ joint global customers.
- Artefact representatives onsite include Ghadi Hobeika (Managing Partner and CEO, Artefact North America), Victor Coimbra (senior AI and technology leader, Artefact), and Harry Morphakis (Artefact partner and session speaker).
- Artefact said it is focused in 2026 on four Databricks capabilities: Genie & AI/BI, Lakebase, EDW migrations, and Agentic AI.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Databricks Unveils Genie Code: Revolutionizing Data Engineering
Databricks launched Genie Code, an autonomous AI agent designed to automate data engineering, data science and analytics workflows — from building pipelines and debugging failures to deploying and maintaining production systems. Integrated with Databricks’ Genie and Unity Catalog, Genie Code can plan multi-step solutions, write production-grade code, log experiments to MLflow, monitor Lakeflow pipelines and enforce governance. Databricks reported Genie Code more than doubled success rates on real-world data science tasks (from 32.1% to 77.1%). To add continuous evaluation and reinforcement learning for agent improvement, Databricks also acquired Quotient AI to embed automated agent monitoring and feedback into Genie and Genie Code. Customers cited include SiriusXM and Repsol, which reported using Genie Code to accelerate notebook authoring, pipeline debugging and production deployments while preserving governance and control.
Agentic AI Drives Marketing Transformation
Agentic AI is framed as an organizational decision rather than a tool, according to Julian A. Kramer of Adobe. At Adobe AI Forum Munich 2026, the discussion emphasized shifting from isolated tools to orchestrated agent workflows, governance, and infrastructure. Adobe highlights Agent Orchestrator within the Experience Platform as a key example of cross‑team automation, while industry voices like McKinsey and Gartner caution that success requires clear goals, governance, and cost controls. German adoption is strong, with over 90% of surveyed companies using or planning Agentic AI per Adobe’s Agentic Readiness Report. Use cases include customer segmentation, journey testing, and A/B testing, with chatbot traffic conversions up 31% and content improvements driving 68% greater buyer confidence and 1.2% fewer returns YoY. The piece also discusses explainability by design, specialized agents, and the need to hire for meta‑skills to sustain growth.
Databricks Launches CustomerLake Agentic CDP
Databricks announced CustomerLake, an "agentic" customer data platform (CDP), at its Data + AI Summit in San Francisco. Built on Databricks' lakehouse architecture and governed by Unity Catalog, CustomerLake combines customer data consolidation, identity resolution, audience building, campaign automation and activation with a workforce of AI agents that continuously analyze behavior, decide and act. Databricks says the agentic system can deliver always-on personalization "1 billion times a day." The company also unveiled an open partner ecosystem for data ingestion and activation that includes major martech and adtech vendors such as Adobe, Meta, LiveRamp, The Trade Desk and others. CustomerLake is positioned to bring CDP functionality natively into Databricks’ platform and to address real-time, agent-driven marketing workflows and activation needs.
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