The Frontier Firm in banking: A blueprint for advanced AI innovation
Explore the blueprint for becoming a Frontier Firm in financial services—where AI agents work alongside employees, accelerate decision-making, and unlock scalable innovation.
At HLTH 2025, we’re spotlighting how Microsoft Dragon Copilot, a breakthrough AI clinical assistant, is supporting more clinicians and geographies.
Explore the blueprint for becoming a Frontier Firm in financial services—where AI agents work alongside employees, accelerate decision-making, and unlock scalable innovation.
AI is transforming public finance with real-time data, automation, and secure collaboration across global tax and trade ecosystems.
Microsoft is launching claims denial navigator, an AI-powered tool developed alongside rural health leaders to give hospitals a powerful way to handle denied claims.
With growing demand and climate goals, Asia-Pacific’s energy providers are turning to AI and digital innovation to modernize infrastructure and decarbonize operations.
Microsoft Dynamics 365 Contact Center earns HITRUST certification, advancing secure, AI-powered healthcare engagement.
Frontier Firms in media embrace agentic AI to unlock creativity, transform engagement, and accelerate innovation across the industry.
Meet Ask Ralph, a new AI-powered styling companion that not only helps with product discovery but also inspires consumers with Ralph Lauren’s unique and iconic take on style.
To make every budgeted dollar count towards economic growth, finance leaders should shift towards informed budgeting. Informed budgeting uses performance metrics, citizen needs, and economic forecasts to allocate resources more effectively. Here’s how this approach can benefit public finance agencies and economies.
Learn how BMW, Aurobay, Denso, and others use AI to modernize their manufacturing processes.
AI is redefining manufacturing—transforming operations, empowering workers, and accelerating innovation through data-driven decisions.
To keep pace with the energy transition, we need to move from static studies to dynamic, data-driven planning.
Explore industry-specific AI use cases that are turning potential into measurable outcomes.