Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.

The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray. They share operational insights on RayCluster topology, stateful...

Jump Trading uses OpenAI to expand quantitative research. See how longer-running AI workflows combine multiple data sources with human review.

Uber has published a detailed account of its new ServiceScale controller, which allows multiple orchestrators to safely manage the scaling of the same Kubernetes workloads. The blog post, written...

Our new analysis reveals the odds of reaching $1 billion in sales—and how the paths to that milestone differ by category and ownership.

Novartis’s chief data and digital officer for biomedical research explains how data platform investments are paying off in AI safety prediction, generative chemistry, and faster translation.

Many enterprises are scaling AI agents faster than they are redesigning the work underneath. A detailed blueprint supports the rollout and lays the groundwork for lasting value creation.

Only a few software teams are seeing real impact from incorporating AI. The key is launching an AI-driven redesign of the entire product development system, rather than just deploying new tools.

Uber's "Zero Growth Stack" focuses on scalable infrastructure that separates capacity growth from business demand, reducing hardware needs while enhancing service scaling. Central to this is...

McKinsey Senior Partner Brooke Weddle explores how companies are successfully scaling their AI programs.

Demand for batteries is surging as electric vehicles and storage grow, but competitiveness depends on securing materials, ramping up gigafactories, and building the local ecosystems needed to compete.

As companies push their AI pilots to scale, data is emerging as a constraint. Leaders are prioritizing data readiness, connecting structured and unstructured data into a governed, reusable foundation.

When a platform started with total developer autonomy, teams felt overwhelmed and ended up solving the same problems in completely different ways. The company shifted to enablement over support,...