Welcome to the latest edition of the World of DaaS Roundup. This week, the data industry didn't slow down. A $2.2B acquisition just made data collaboration the center of the agentic era. Regulators went after the biggest platforms in the world for how they handle user data. And the CEO of one of the most valuable private companies in tech said it out loud: AI doesn't have an intelligence problem — it has a data problem.
Data isn't supporting the AI era. It's defining it.
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Databricks CEO: AI doesn't have an intelligence problem — it has a data context problem. CNBC
Ali Ghodsi told Jim Cramer this week that the real bottleneck in AI isn't model intelligence — it's context. Whoever owns the richest, most governed data layer wins. The data platform is no longer a tool. It's the competitive moat.
Anthropic is about to post its first operating profit — built entirely on enterprise data revenue. TechCrunch
Revenue is set to more than double to $10.9B in Q2 2026. The model isn't the business — the enterprise data workflows running on top of it are. Profitability signals that the data layer beneath AI is finally generating real economic value.
Google, Meta and TikTok face EU consumer complaints over how they handle data from financial scam victims. Reuters
European consumer groups filed complaints today against three of the world's largest data platforms for mishandling personal and financial data linked to scam activity. The message is clear: owning the data layer comes with accountability — and regulators are no longer waiting.
HPE's CIO on why enterprise data and tech must be measured by business value — not by hype. WSJ
Rom Kosla urges tech teams to stop chasing shiny objects and focus on tools that actually get adopted and improve end-to-end business processes. The message for data leaders: adoption and maintainability are the new metrics for success — not innovation for its own sake.
Data-Driven Workforce Analytics: Hoe data company built a universal HR database from over a billion employment profiles — with Ben Zweig, CEO of Revelio Labs. DataFramed by DataCamp.
→ Revelio Labs built a universal HR database from over a billion public employment profiles and five billion job postings — turning publicly available data into a proprietary intelligence product. The conversation unpacks which data careers resist AI, why jobs are bundles of tasks not skills, and how workforce data is becoming one of the most valuable — and underpriced — assets in the market.
In this episode of DataFramed, they discuss:
Why hiring is a broken two-sided market — and how data can fix it.
How Revelio Labs built a universal taxonomy from billions of job postings to map the future of work.
Which parts of data careers are most exposed to automation — and which are not.
Why traditional NLP still beats LLMs for certain high-stakes data classification tasks.
How workforce data at scale is becoming a product, not just an HR tool.
M&A Funding Roundup
Carbon Arc acquired Neustreet to expand its web data ingestion capabilities.
Datasite acquired Valu8 to strengthen its private markets data intelligence platform.
Publicis Groupe acquired LiveRamp to become a leader in data co-creation for the agentic era.
Sigma raised $80M Series E to scale its data analytics platform.
Showcasing open roles at companies led by members of our community. A few standout opportunities this week:
Legal Data Strategy Director at Legora
Data Scientist at Archetype
AI Data Specialist at Accordion
Looking to showcase an open role? The World of DaaS job board highlights opportunities from members across our community. Apply to join and get access to exclusive perks including job board postings, curated introductions, private events, and more.
Till next time,
The World of DaaS Team
