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Friday, March 27, 2026  ·  7 stories

AI Prepared Daily

The morning briefing for marketing & data professionals.

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

Your Executive Summary

  • Apple Opens Siri to Rival AI Chatbots in iOS 27 — Marketers building AI-powered experiences should prepare for a fragmented assistant landscape where users route queries to their preferred AI, requiring brand visibility across multiple platforms.
  • Claude Mobile App Integrates Figma, Canva, and Amplitude Tools — Marketing teams can now access design assets and analytics dashboards conversationally on mobile, collapsing the workflow between ideation, creation, and analysis into a single AI interface.
  • Harvey Legal AI Raises $200M at $11B Valuation — Harvey's rapid growth proves vertical AI applications can capture massive value by embedding deeply in industry workflows—a playbook applicable to marketing data and operations.
  • AI Agent Traffic to Retail Sites Surges 1,300% Year-Over-Year — Product data must now be structured for AI agents, not just human browsers—missing or inconsistent attributes means your products get excluded from AI-driven purchase recommendations entirely.
  • Ray Data LLM Delivers 2x Throughput Over vLLM for Batch Inference — Data teams running batch inference for marketing analytics, content classification, or customer data enrichment can now double throughput while gaining production-grade fault tolerance.
  • Contentsquare Launches Analytics for LLM and AI Agent Traffic — Marketing analytics must now distinguish between human and AI-driven traffic to understand true conversion patterns as AI agents become a meaningful share of site visitors.
  • ChannelEngine Launches AI Attribute Builder for Agentic Commerce — E-commerce and retail marketing teams need to treat product data quality as a competitive moat—AI agents will route purchases away from brands with incomplete or inconsistent attributes.

▸ AI/LLM  ·  Bloomberg

Apple Opens Siri to Rival AI Chatbots in iOS 27

Apple is preparing to allow third-party AI assistants like Google Gemini, Claude, and others to integrate directly with Siri through a new 'Extensions' system in iOS 27. Users will be able to choose which AI service handles their queries via App Store-installed chatbots, ending ChatGPT's exclusive integration. The move is central to Apple's AI comeback strategy as Siri has fallen behind competitors.

The bottom line: Marketers building AI-powered experiences should prepare for a fragmented assistant landscape where users route queries to their preferred AI, requiring brand visibility across multiple platforms.

Check out the full article →

▸ Emerging Tools  ·  CNBC

Harvey Legal AI Raises $200M at $11B Valuation

Harvey, the legal AI platform, raised $200 million co-led by GIC and Sequoia, pushing its valuation to $11 billion—up from $8 billion in December. More than 100,000 lawyers across 1,300 organizations now use Harvey for contract analysis, due diligence, and litigation workflows. The company has raised over $1 billion total and hit $190 million ARR in January.

The bottom line: Harvey's rapid growth proves vertical AI applications can capture massive value by embedding deeply in industry workflows—a playbook applicable to marketing data and operations.

Check out the full article →

▸ MarTech/AdTech  ·  PR Newswire

AI Agent Traffic to Retail Sites Surges 1,300% Year-Over-Year

ChannelEngine reported that traffic from AI assistants and agents to retail sites has grown more than 1,300% over the past year. Amazon's Rufus AI assistant drove 40% of Black Friday sessions and influenced 66% of purchases. Morgan Stanley projects autonomous agents could influence up to $385 billion in U.S. ecommerce spend by 2030.

The bottom line: Product data must now be structured for AI agents, not just human browsers—missing or inconsistent attributes means your products get excluded from AI-driven purchase recommendations entirely.

Check out the full article →

▸ Data Engineering  ·  Anyscale

Ray Data LLM Delivers 2x Throughput Over vLLM for Batch Inference

Anyscale released Ray Data LLM, a library built for large-scale batch inference that achieves 2x throughput over vLLM's synchronous engine at production scale. The tool provides scalable execution, fault tolerance, and streaming to petabyte-scale datasets—critical for synthetic data generation, data curation, and large-scale evaluation workloads.

The bottom line: Data teams running batch inference for marketing analytics, content classification, or customer data enrichment can now double throughput while gaining production-grade fault tolerance.

Check out the full article →

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