Dataiku vs Scale AI

Discover Dataiku Agent Management: every agent on the record

Dataiku announced the launch of Dataiku Agent Management, a new product feature for managing AI agents, along with the announcement of the AI Success Frontrunner award winners.

12,000 Attend Ai4 2026 to Discuss AI's Invisibility

The article reports on the Ai4 2026 conference in Las Vegas, which saw record attendance of over 12,000, up from 8,000 the previous year. Dataiku's keynote highlighted that 96% of enterprise leaders believe employees are using unsanctioned generative AI tools, and 80% of CIOs see their jobs at risk without measurable AI ROI. Pat Gelsinger argued that AI economics must improve dramatically, while Geoffrey Hinton, Fei-Fei Li, and Andrew Ng jointly endorsed AI regulation. The conference emphasized the need for AI governance, budget ownership, and cross-functional staffing. Speakers from Cisco, Nvidia, Uber, PayPal, and other companies discussed the shift from assistants to autonomous agents and the importance of accountable AI deployment.

• Ai4 2026 attendance exceeded 12,000, up from 8,000 the previous year.
• Dataiku's survey found 96% of enterprise leaders believe employees use unsanctioned generative AI tools.
• 80% of CIOs say their job is at risk without measurable AI ROI.

Governed RAG: Data, Context & Lineage for Enterprise AI

The article describes risks introduced by Retrieval-Augmented Generation (RAG) when enterprise data is exposed to vector search pipelines and proposes a three-part Governed RAG architecture: (1) ingestion with cryptographic embedding lineage and metadata, (2) query-time contextual Attribute-Based Access Control (ABAC) embedded into vector search queries, and (3) outbound payload sanitization (PII/PHI masking, indirect injection removal, and context length minimization). It argues that enterprises must enforce retrieval-time access controls, maintain graph-based data lineage, and implement real-time index freshness/eviction to prevent privilege escalation, prompt-injection attacks, stale-context hallucinations, and to meet compliance requirements.

• Retrieval-Augmented Generation (RAG) pairs LLMs with vector databases and knowledge graphs to ground agents in proprietary corporate knowledge.
• Vector stores typically do not preserve fine-grained document-level ACLs or cryptographic data lineage by default, creating over-permissioned retrieval risks.
• The proposed Governed RAG pipeline has three security boundaries: ingestion with cryptographic embedding lineage, query-time contextual ABAC inside the vector search, and outbound payload sanitization.

Meta launches AI-focused subscription plans

Meta has launched Meta One, a unified subscription service bundling premium features across Instagram, Facebook, WhatsApp, and Meta AI, now globally available. Core functions remain free, while the subscription offers extended AI usage, enhanced self-expression tools, and professional solutions for creators and businesses, gradually rolling out to apps like Edits and AI glasses. Over 15 million subscriptions and trials have been recorded. Pricing starts at $2.99/€2.49 per month for individual app-plus plans, with bundled Core and Premium tiers at $7.99 and $19.99 (€6.99 and €16.99) monthly, and business plans ranging from $14.99 to $499 (up to €549) per month. This initiative aligns with Meta's AI monetization strategy, following a $14.3 billion investment in Scale AI and planned infrastructure spending exceeding $600 billion by 2028. Early revenue data shows Instagram at $1.2 million daily and Facebook at $528,000 as of September 9, 2026, though the launch faces regulatory scrutiny and industry warnings about AI risks.

• Meta One is a unified subscription service for Instagram, Facebook, WhatsApp, and Meta AI, globally available, launched on September 16, 2026.
• Over 15 million subscriptions and trial activations have been recorded from earlier tests.
• Pricing starts at $2.99/€2.49 per month for individual app-plus plans; bundled Core and Premium cost $7.99/€6.99 and $19.99/€16.99 respectively.

Meta Launches Paid Personal AI Agent App 'Muse' Amid Privacy Scrutiny

Meta launched Muse, a personal AI agent, on September 8, 2026, initially in the US, with availability across web, iOS, Android, and WhatsApp, and now expanded to Mac desktop. Powered by the Muse Spark 1.3 model, Muse autonomously handles tasks like emailing, travel booking, purchases, organizing files, filling forms, and summarizing messages. It operates in a secure VM per user, with a Sentinel agent approving sensitive actions, and integrates with Messages, Calendar, and Notes. Payments are processed via Stripe's Link, with integrations like Shopify Shop Pay and 1Password. The service offers a free tier (up to 100 million tokens weekly) and paid plans, including Meta One starting at $20 or 2.49 Euros monthly, with a $100 premium option. Despite privacy concerns and an up to $18 billion settlement over addictive design, Meta asserts user data isn't used for ads, focusing on commerce monetization. A confidential VM with user-held encryption keys is planned for later this year.

• Meta launched Muse on September 8, 2026, as a personal AI agent, initially in the US, across web, iOS, Android, WhatsApp, and now Mac desktop.
• Muse is powered by Muse Spark 1.3, and can handle tasks like emailing, travel booking, purchasing, file organization, form filling, and summarizing messages, with integrations for Messages, Calendar, and Notes.
• Muse operates in a secure VM per user with Sentinel agent approval; payments use Stripe's Link, with a free tier (up to 100M tokens/week) and paid plans starting at $20/month (Meta One) or 2.49 Euros, plus a $100 option.