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Monday, March 2, 2026  ·  7 stories

AI Prepared Daily

The morning briefing for marketing & data professionals.

Happy Monday. Here’s what’s moving in AI, data, and martech today.

Your Executive Summary

  • Anthropic Launches Claude 4.7 with 500K Token Context Window — Larger context windows eliminate most RAG chunking workarounds for teams processing large contracts, research reports, or full codebases.
  • dbt Labs Ships Native BigQuery Incremental Streaming Support — Real-time incremental models in dbt means fewer custom Dataflow jobs and a single source of truth for both batch and streaming transformations.
  • Google Merges Search Ads and Demand Gen Into a Unified Campaign Type — Fewer campaign silos means simpler attribution — but also less granular control, which may frustrate performance marketers used to channel-level optimization.
  • Meta Open-Sources Llama 4 Scout with 10M Token Context — An open-source model with 10M context is a significant unlock for enterprises that cannot send data to third-party API providers.
  • Cursor Launches Background Agents That Run Autonomously in the Cloud — Async agents that deliver pull requests change how teams think about sprint planning — routine engineering tasks can run overnight without developer attention.
  • LiveRamp Launches Clean Room API Compatible with All Major DSPs — A single clean room API across DSPs removes one of the biggest friction points in privacy-safe measurement — the need to re-implement custom integrations per platform.
  • Snowflake Announces Polaris Catalog Now Generally Available — Polaris GA means data teams can standardize on Iceberg without locking into Snowflake's proprietary format, giving them more flexibility in future warehouse migrations.

▸ AI/LLM  ·  Anthropic Blog

Anthropic Launches Claude 4.7 with 500K Token Context Window

Anthropic released Claude 4.7 today, extending the context window to 500K tokens and improving instruction-following on long documents. The model is available via API and in Claude.ai Pro immediately.

The bottom line: Larger context windows eliminate most RAG chunking workarounds for teams processing large contracts, research reports, or full codebases.

Check out the full article →

▸ Data Engineering  ·  dbt Labs

dbt Labs Ships Native BigQuery Incremental Streaming Support

dbt Core 1.9 introduces native support for BigQuery's streaming inserts in incremental models, removing the need for custom workarounds. Teams can now run sub-minute latency pipelines without leaving their dbt project.

The bottom line: Real-time incremental models in dbt means fewer custom Dataflow jobs and a single source of truth for both batch and streaming transformations.

Check out the full article →

▸ MarTech/AdTech  ·  Google Ads Blog

Google Merges Search Ads and Demand Gen Into a Unified Campaign Type

Google Ads announced a new unified campaign format that combines Search, Display, and Demand Gen targeting into a single campaign structure. The rollout begins in Q2 for all advertisers.

The bottom line: Fewer campaign silos means simpler attribution — but also less granular control, which may frustrate performance marketers used to channel-level optimization.

Check out the full article →

▸ Emerging Tools  ·  Cursor Blog

Cursor Launches Background Agents That Run Autonomously in the Cloud

Cursor shipped Background Agents, which spin up cloud VMs and complete long-running coding tasks asynchronously. Users assign tasks and receive a PR when the agent finishes, without keeping their laptop open.

The bottom line: Async agents that deliver pull requests change how teams think about sprint planning — routine engineering tasks can run overnight without developer attention.

Check out the full article →

In Other News

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