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Microsoft and Google are supporting Apache Ossie, an open specification that lets enterprises move semantic models between analytics platforms without rebuilding them. The backing from major vendors makes portability more likely, but governance gaps and the spec's early stage mean enterprises still face real constraints in switching platforms.
- Microsoft is building two-way converters between Power BI and Ossie, and pushing for DAX language support, so calculation logic moves with models across platforms instead of needing recreation.
- Governance features like row-level security and access policies aren't included in the current spec, forcing enterprises to reconfigure these on each platform even with portable models.
- Ossie uses a hub-and-spoke model where the spec acts as a common format and individual vendors provide converters, reducing engineering overhead compared to point-to-point translations.
- The specification is still in development (version 0.2), lacks capabilities large enterprises need like cross-model references, and won't eliminate vendor lock-in—just shift it to platform-specific execution behavior.
Prompt Opinion lets healthcare organizations plug in interoperable AI agents, tools, and standards into real workflows. It uses MCP, A2A, and FHIR to connect EHRs, policies, and data, turning standalone agents into production-ready tasks like prior authorizations, trial matching, and population health analyses.
- Prompt Opinion connects healthcare AI agents to real EHRs, policies, and data using open standards (MCP, A2A, FHIR) instead of leaving them as isolated pilots.
- The platform targets concrete production tasks—prior authorizations, trial matching, population health gap analysis, chart summarization—not just demos.
- Builders can publish agents once (via TypeScript/Python reference code) and reach every customer, while healthcare orgs get turnkey, audited, compliant integrations from day one.
- It's live in beta with an "Agents Assemble Challenge" recruiting developers to build agents that output real deliverables like documents, tables, or transactions.