Estée Lauder uses AI to reimagine trend forecasting and consumer marketing. The results are beautiful.
The Estée Lauder Companies are building a generative AI ecosystem with Microsoft 356 Copilot to move products to market faster.
Frontier Transformation
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FYAI: The role of responsible AI with Microsoft CPO Sarah Bird
Let’s explore Sarah Bird’s experiences and perspectives on the evolving landscape of AI and discover how Microsoft is building trustworthy AI systems. -
AI in South Africa: Empowering innovation, transforming industries, and unlocking potential
Africa stands at the cusp of a transformative future, uniquely positioned to lead in AI-powered solutions. -
6 ways AI is making a difference in the world
AI is changing the world in remarkable ways, from improving health care and education to making life easier for people with disabilities. -
Microsoft’s Majorana 1 chip carves new path for quantum computing
Microsoft introduced Majorana 1, the world’s first quantum chip powered by a new Topological Core architecture that it expects will realize quantum computers capable of solving meaningful, industrial-scale problems in years, not decades. -
Maximizing AI’s potential: Insights from Microsoft leaders on how to get the most from generative AI
Get an overview of the 2025 AI Decision Brief, a Microsoft report on how generative AI is impacting businesses and how to maximize AI at your organization. -
5 key features and benefits of retrieval augmented generation (RAG)
Let’s briefly uncover the future of AI-powered language understanding and generation through the lens of retrieval augmented generation. -
Personalization at scale: How cloud and AI are redefining customer engagement
For organizations ready to embrace the future, building the right infrastructure is the first step toward achieving personalization at scale. -
Unleashing the power of AI in India
India has embraced the power of AI to reshape industries, drive innovation, and unlock new opportunities across the nation. -
Common retrieval augmented generation (RAG) techniques explained
Organizations use retrieval augmented generation (or RAG) to incorporate current, domain-specific data into language model-based applications without extensive fine-tuning.