Curated from knowledge graph (201 nodes, 244 edges) · All articles published within the last 7 days

• Databricks brings GPT-5.5 to enterprise agent workflows — Databricks is integrating GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark. This signals how LLM gateways can route to best-in-class models for specific enterprise use cases. 🔗 Graph: databricks, litellm-enterprise, agentic-ai 📅 Published: 2026-05-15 📰 https://openai.com/index/databricks

• Work with Codex from anywhere — OpenAI now allows developers to use Codex through the ChatGPT mobile app, enabling real-time monitoring and approval of coding tasks across devices. Represents a shift toward ambient, always-available AI assistance for development workflows. 🔗 Graph: codex, developer-api-program, agentic-ai 📅 Published: 2026-05-14 📰 https://openai.com/index/work-with-codex-from-anywhere

• How business operations teams use Codex — OpenAI published a guide showing how business operations teams can use Codex to create initiative briefs, strategy updates, leadership decision packets, and progress updates from raw work inputs. TritonAI's Developer API Program enables similar campus capabilities. 🔗 Graph: codex, ai-adoption, business-operations 📅 Published: 2026-05-15 📰 https://openai.com/academy/codex-for-work/how-business-operations-teams-use-codex

• How enterprises are scaling AI — OpenAI released a comprehensive guide on how enterprises move from early experiments to compounding impact through trust, governance, workflow design, and quality at scale. Directly relevant to TritonAI's campus-wide deployment strategy. 🔗 Graph: ai-governance, ai-adoption, enterprise-scale 📅 Published: 2026-05-11 📰 https://openai.com/business/guides-and-resources/how-enterprises-are-scaling-ai

• How data science teams use Codex — OpenAI outlined how data science teams can leverage Codex to build root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specs from real work inputs. Aligns with UC San Diego's Enterprise Data Agent capabilities. 🔗 Graph: codex, data-analytics, enterprise-data-agent 📅 Published: 2026-05-15 📰 https://openai.com/academy/codex-for-work/how-data-science-teams-use-codex

💡 Signal: This week's coverage converges on a single theme: agentic AI is moving from experimental to operational. OpenAI's Codex rollout across multiple professional domains (business ops, data science, mobile development) suggests the industry has shifted focus from "can AI code?" to "how does AI integrate into existing enterprise workflows?" For TritonAI, this validates the Developer API Program strategy — campus builders need access to these capabilities through governed, model-agnostic infrastructure rather than direct vendor relationships.