By Kevin Zielnicki, Guy Aridor, Aurélien Bibaut, Allen Tran, Winston Chou, and Nathan KallusIntroductionPersonalization is everywhere on the internet. It shapes the products we discover, the...

There are certain aspects of the AI opportunity that chief executives cannot hand off to others—raising the organization’s ambition, rearchitecting how it works, and resetting its culture.

Uber has redesigned shard placement in M3DB with fixed size subclusters to limit the impact of node failures, maintenance, and cluster scaling. The approach bounds shard dependencies, preserves...

Genentech’s chief marketing officer discusses AI, the future of marketing, patient trust, and why growth depends as much on culture as technology.

As AI adoption grows, mission-driven organizations must weigh how to adopt new capabilities without sacrificing the trust central to every donor relationship, constituent served, and mission pursued.

Most organizations are still early in their AI journeys. A new global survey reveals how companies can progress from individual adoption to enterprise-wide value capture.

Automating software’s deployment, production, and monitoring systems has been challenging. Resolve AI’s CEO explains how AI could improve reliability, pace, and workload.

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.

AI could become a powerful growth engine for the country by helping overcome the economy’s challenges and limitations, and generating improved productivity and lasting competitive advantage.

Netflix’s Kasia Trapszo discusses the transition from writing code to scaling organizations. She shares lessons on building trust through technical clarity, aligning teams to solve the "right"...

Leading European executives are investing more broadly in AI than ever—yet they struggle to convert that investment into measurable results.

Platform engineering has to be approached from a socio-technical perspective, and shaped by all stakeholders, not just developers, Sergiu Petean said in his talk Driving the Future of Insurance...

McKinsey research finds that companies that execute transformations with rigor are far more likely to achieve their aspirational targets—and sustain meaningful progress.

AI’s potential is enormous, but its impact depends on accountability. Leaders who measure the right things, and scale only what works, are already pulling ahead.

A recent paper from Anthropic examines how large language models internally represent concepts related to emotions and how these representations influence behavior. The work is part of the...

AI poses major challenges for green IT: each query consumes vast energy, GPU chips last only 2-3 years, and costs stay hidden from users. Regulatory frameworks like the EU AI Act fall short on...

The question is less about whether AI will change how users discover classifieds but rather how incumbent providers can shape that change or risk leaving it and its associated value to new entrants.

Sovereign AI is achievable only through an ecosystem effort that connects energy, compute, data, models, platforms, and applications across multiple actors.

Mozilla is headed to New Delhi, India for the India AI Impact Summit 2026 next week with a message: Open Source is the path to both economic and digital sovereignty. Participating in dozens of...

The business impact of AI is clear: faster response times, higher customer satisfaction, reduced operational costs, and data-driven insights that leaders can act on with confidence.