August 2026 Summaries

Databricks has introduced CustomerLake, an agentic customer data platform in private preview that operates within its lakehouse environment, using AI Profile Agents to build governed customer profiles and Campaign Agents to deliver continuous, real-time engagement; general availability is expected in late 2026 or early 2027. The discussion argues that such systems depend heavily on the completeness, quality, identity resolution, and timeliness of behavioral data already collected in the lakehouse, since CustomerLake does not itself capture web or app events. It frames the market shift toward data-platform-embedded or composable CDPs as a response to data duplication, synchronization delays, governance needs, and the demand for in-session decisioning, citing Gartner projections and consolidation among standalone CDP vendors. It recommends assessing data collection against four criteria—context, control, cost, and choice—to ensure events are structured and validated, owned and governable, portable across platforms, and available in real time. Snowplow presents its own collection and identity-resolution tools as a way to supply this behavioral context across multiple destinations, while disclosing that Databricks is an investor in Snowplow.

Snowplow Signals has introduced a Python SDK capability that creates labeled training tables directly from existing attribute groups, aiming to prevent training-serving skew caused by maintaining separate feature definitions for historical model training and live deployment. Users can define a predictive goal, such as a purchase, or provide their own labeled event anchors, after which the builder recomputes point-in-time accurate attributes using only events that occurred before each prediction point. It can execute generated queries or provide SQL for review and versioning, writing datasets to the user’s warehouse schema and returning previews as pandas DataFrames for notebook-based model development. The feature is intended for real-time behavioral propensity applications such as purchase intent, trial conversion, churn, booking inquiries, registration timing, and content next-action prediction. Existing customers can access it by upgrading the snowplow-signals Python SDK, while prospective users can evaluate the product through a 14-day free trial.