Ai Governance

TAIPEI – October 29, 2026 -- The 2026 Global Health and Welfare Forum brings together 43 speakers and moderators from 11 markets on Oct. 19–20 to test how AI, interoperable health data and precision medicine can move from research into hospitals, pharmaceutical manufacturing, medical-device companies and care networks. The program runs under the theme "The Future of Global Care: Achieving Trust-Centric Digital Health."

Global – October 29, 2026 -- Roughly 50% of generative AI proof-of-concept projects will be scrapped before reaching production, according to Gartner. Enterprises are responding with a two-function operating model that pairs an AI Center of Excellence (CoE) with an AI Factory.

Unclear ownership, not model quality, drives the failures

The causes are rarely the models themselves. Unclear ownership, inconsistent governance, fragmented data and the lack of a repeatable path from prototype to deployed system stall most projects, according to AppsTek, the IT services provider that published the framework guide.

Global – October 29, 2026 -- Only 25% of enterprises have moved 40% or more of their AI experiments into production, according to Deloitte's 2026 State of AI in Enterprise study. S&P Global Market Intelligence reports that 42% of companies abandoned most of their AI initiatives in 2025, up from 17% a year earlier.

The author argues the gap is an organizational problem, not a technology one. Workflows are still built for human handoffs, decision rights are fragmented, and incentives reward the old way of working.

NEW YORK – October 28, 2026 -- Globant (NYSE: GLOB) has expanded its Glob.AI platform with Glob.AI OS, a governance layer that routes enterprise AI requests across 320+ models from 25+ providers and ties each call to identity, cost and policy.

Glob.AI is Globant's AI-Native Services Platform, under which clients pay for outcomes or consumption rather than hours or seats. Globant says AI-Native Services engagements have delivered up to 7x faster legacy modernization and 3x faster product discovery.

Four hubs handle model routing, data context, agent testing and spend control

Globant describes Glob.AI OS as the governed foundation under every AI call. It supports identity, agent lifecycle management, cost visibility and auditability through four components:

LAS VEGAS – October 28, 2026 -- Oracle will roll out AI-generated business ontologies, a semantic reasoning engine and an AI agent registry within the next 12 months as part of its AI Data Platform, and has launched a services offering to move enterprise AI projects into production. The company announced the moves at Oracle AI World.

AI Discovery agent drafts ontologies from schemas and documents

Oracle's AI Discovery agent generates business ontologies by analyzing database schemas, semantic models, application and API documentation, and business knowledge held in unstructured documents. Domain experts review and refine the output before approving it as the shared foundation for all AI solutions. The platform also monitors how agents use the ontologies and recommends updates for expert approval.

ARLINGTON, Va. – October 28, 2026 -- Infotech's annual report, Tech Trends 2027: Bring Clarity Amid Chaos, identifies 14 trends across four themes that will change the cost, security and viability of enterprise technology investments next year. The research and advisory firm finds that as AI model capabilities converge, architecture, tooling and governance will increasingly determine enterprise AI outcomes.

The report draws on expert interviews and primary and secondary research. It covers financial services, healthcare, legal services, manufacturing and government, and tracks policy and procurement developments in the United States, Canada, the United Kingdom, Australia and the European Union. Each trend is rated for market readiness and enterprise traction.

ORLANDO – October 28, 2026 -- GigaOm has named iboss a Leader in its Radar for Zero Trust Network Access (ZTNA), placing the vendor in the Enduring Innovators quadrant for unified policies and visibility with AI insights.

The Radar evaluates how ZTNA offerings broker application access based on identity and context. GigaOm's assessment of iboss highlights three points: one policy plane across public and private resources, Policy Tracing that shows the policy and security-engine logic behind each access event, and ZTNA delivered inside the iboss Zero Trust SASE Platform.

Chandler – October 28, 2026 -- Vensure Employer Solutions has launched AI Orchestrator, a Digital Capital Management (DCM) platform with more than 500 out-of-the-box integrations, to help small and mid-size businesses build, test, orchestrate and govern AI agents alongside their human workforce.

Platform covers the full agent lifecycle from build to audit

Users can build agents natively using no-code and low-code tooling. They can test them before deployment through built-in simulation, scenario validation and performance benchmarking.

The platform orchestrates multi-agent workflows in which agents collaborate, escalate and complete end-to-end business processes autonomously. Governance features include policy controls, audit trails, compliance monitoring and performance analytics.

Berlin – October 28, 2026 -- SAP SE (NYSE: SAP) will run its SAP-RPT tabular foundation model on the HPE Spaceborne Computer-2 aboard the International Space Station, an edge-compute deployment it describes as one of the most significant for any enterprise AI model to date. The announcement headlined a package of agent, data and governance upgrades unveiled at the SAP TechEd developer conference.

SAP-RPT is planned to run onboard the ISS without sending data to Earth

Developed with HPE, the deployment is designed to support anomaly triage, predict issues before failures escalate, reconstruct missing sensor values from historical data, and generate explainable mission-health reports for astronauts and ground teams. SAP said no data needs to be sent back to Earth for analysis.

Global – October 28, 2026 -- Enterprises that pair AI speed with documented human accountability are gaining a competitive edge in governance, risk and compliance (GRC), while four common deployment mistakes expose others to audit failures, according to a commentary originally published in Business Reporter and promoted by GRC vendor Hyperproof.

AI automation cannot replace a GRC system of record

AI excels at high-throughput evidence orchestration and cross-framework mapping, cutting the duplicative control work that inflates operational costs. But AI tools do not inherently persist as a structured, version-controlled source of truth. Regulators and external auditors demand policy versioning, centralized framework mappings and defensible audit trails over time, which a dedicated GRC platform provides.