AI-powered search helps dealers find products faster, improving accuracy, accelerating delivery and driving 20% revenue growth

Organizations that gain the most value from AI invest not just in models, but in the data foundations, interoperability and governance that make AI usable, trusted and scalable across the enterprise

Utilities must evolve from asset-heavy, linear models to platform-based orchestration, using data, ecosystems and flexibility to unlock new revenue, resilience and customer-led energy systems.

Discover how visual intelligence enables resilient, scalable UI automation by overcoming locator fragility in modern, dynamic interfaces.

The next phase of enterprise AI will not be defined by more pilots or platforms, but by whether organizations can build an AI Factory operating model that makes AI scalable, governable and repeatable

AI is everywhere, but impact isn’t. Based on insights from 467 senior leaders in G2K enterprise, the AI Impact Imperatives reveals why enterprise AI programs fall short and what drives real impact.

Agentic AI is emerging as the next step—purpose-built, goal-oriented systems designed to operate within clinical and regulatory boundaries while delivering real-time outcomes.

CPG manufacturing is moving beyond periodic control and batch-based optimization toward continuous intelligence, where quality, throughput, maintenance and supply decisions are shaped in real time

AI-Led Transformation at Enterprise Scale

Johan Sporre, VP Technology Foundation, Ericsson with Suresh Deshpande, AVP, HCLTech

Learn how OpenAI Codex enables faster application modernization by improving code understanding, refactoring, testing and migration while reducing risk and increasing developer productivity.

HCLTech offers a unique set of end-to-end AI capabilities, from chip development to business process optimization.