Fostering breakthrough AI innovation through customer-back engineering

A demand signal drops. A supplier goes dark. A competitor cuts prices. Your planning system gives you a dashboard. What you actually need is a decision in minutes, not weeks. That’s the gap SAP and DataRobot are closing together. Enterprise planning is undergoing a fundamental shift. For decades, organizations have relied on structured planning cycles,... The post From Planning to Action: SAP Enterprise Planning enhanced by DataRobot appeared first on DataRobot.

London-based Ethos has raised $22.75 million in a Series A led by Andreessen Horowitz, with participation from General Catalyst, XTX Markets, Evantic Capital, and Common Magic, to build an AI-powered alternative to legacy expert networks such as GLG and LinkedIn. Founded in 2024 by James Lo, formerly of McKinsey and SoftBank, and Daniel Mankowitz, an […]

OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact.

As agents move past demos and into enterprise workflows, organizations are confronting the governance, infrastructure and operational problems posed by more autonomous AI systems.

As AI accelerates the pace of business, organizations need to move decisions closer to those with intimate knowledge.

Front-end development has never been more capable. Modern frameworks offer fast rendering pipelines, component composition, powerful tooling, and a growing ecosystem of libraries that promise to make building sophisticated applications easier than ever. Yet many teams experience exactly the opposite — increasing difficulty. Applications grow harder to reason about. Features interact in unexpected ways. Simple changes ripple through unrelated parts of the system. Debugging becomes an exercise in tracing invisible dependencies across the application. The tools improved, but the complexity remained. Front-end complexity never ends For many years, front-end complexity was blamed on frameworks. Each generation of tooling promised to fix the limitations of the previous one. The transition from server-rendered pages to client-side frameworks introduced a wave of architectural experimentation. Then came virtual DOM engines, reactive libraries, and increasingly sophisticated component systems.

The organizations that get the most from agentic AI will be those that understand the threat model clearly enough to design against it.

For years, meeting room technology was evaluated primarily on ease of use and audiovisual quality. If people could walk in, plug in, and start presenting, the job was considered done. That mindset no longer holds. Today’s meeting rooms are deeply connected to digital environments, and security has become a business-critical concern rather than a technical afterthought.  According to IDC, 50.8% of organizations now rank security as the most important factor when selecting collaboration and videoconferencing technology, ahead of price or quality considerations. That shift reflects a broader reality: what happens in meeting rooms has direct implications for data protection, regulatory compliance, operational resilience, and corporate trust.  The meeting room as an expanded attack surface  Hybrid work has fundamentally changed the role of the meeting room. It is no longer a closed, isolated space. Instead, it has become a convergence point where corporate networks, cloud services, collabor