services
6 stories filed under services on Beyond Market Intelligence. The newest of them: “Share your data projects and discover collaborators in our community”, “Anthropic Explores Akamai's Cloud for AI-Native Workloads”, and “AI-Powered Spreadsheets Empower Enterprises, Ema Secures $77M”. If you're building something with data, you need people who get it. An $11.6 billion commitment over seven years is a serious statement, and Anthropic is making it with Akamai. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every services story on Beyond Market Intelligence, newest first.
Share your data projects and discover collaborators in our community
If you're building something with data, you need people who get it. Share your projects, startups, or collaboration needs here. Be clear about payment and pricing for any products or services. No link shorteners, no auto-subscribe links, and no abuse of trust, that gets you banned. This thread stays alive until the next one, so keep posting. It's an experiment. If the community doesn't like it, we'll cancel it.
Anthropic Explores Akamai's Cloud for AI-Native Workloads
An $11.6 billion commitment over seven years is a serious statement, and Anthropic is making it with Akamai. The deal centers on CPUs for AI-native workloads, a choice that prioritizes flexibility over raw speed. What stands out is the unusual structure: Akamai is offering up to 5% of its stock, a stake that grows as Anthropic scales its spending. It is a bet on a long-term partnership, not just a transaction. For teams watching infrastructure costs, this is a signal worth exploring.
AI-Powered Spreadsheets Empower Enterprises, Ema Secures $77M
Ema just closed a $77 million round, bringing its total funding to $140 million, and it already counts Google and Microsoft among more than 50 enterprise customers. That kind of traction signals something real: businesses are ready to trust AI-native tools with serious data work. We've long argued that spreadsheets shouldn't be static, and Ema is proving the shift is happening now. If you're exploring how AI can reshape your own workflows, our piece on verifying AI understanding offers a practical starting point.
Privacy tools face new hurdles as X tightens access controls
The latest legal push from X has silenced Nitter and XCancel once again, pulling the plug on privacy-friendly ways to view posts without an account. It's a familiar cycle, and one that underscores how fragile third-party access has become. For users who value anonymity, this feels like a step backward, but it's also a nudge to rethink how we engage with social data.
From Monolith to Microservices: Transforming a Python Pipeline
Every Python developer knows the feeling: a pipeline that starts simple slowly becomes a monolith. When our tightly coupled process grew too heavy, we knew something had to change. We split it into independently deployable MCP services. This approach isn't just about cleaner code; it's about reclaiming control over your workflow. By breaking things down, you gain flexibility and speed. It's a practical shift toward sustainable architecture. For more on adapting systems, you might explore *Evolve Your Recommendations: Real-World Insights on Adaptive Systems*.
Future-Proof Your Spring Boot Services with Post-Quantum Crypto Patterns
The threat of Harvest Now, Decrypt Later is already here, and Pankaj Sharma's piece on post-quantum cryptography in Spring Boot cuts through the noise with four concrete patterns you can ship this sprint. Encrypting service payloads, locking database fields, securing long-lived documents, and moving tokens off RS256 are practical starting points. His warning is sharp: none of this is production-safe without KMS or Vault in place. It's a grounded, action-oriented guide for teams ready to future-proof their data. For broader infrastructure context, our Kubernetes 1.