Put AI into action with AI Business School
Explore our online leadership series and learn how to drive business impact by creating an effective AI strategy, enabling an AI-ready culture, innovating responsibly, and more.
Becoming an innovative organization
Most innovative companies today provide products and services that break through industry boundaries. This requires a new kind of integrated innovation.
3 elements to retain a competitive advantage
Nick McQuire from Microsoft explains three key elements that are key to retaining a competitive advantage and shares new frameworks that leaders can use to plan for innovation in their own organizations.
A new core business priority
Innovation goes beyond technology – and it’s not always as serendipitous as it can seem. Leaders can empower everyone to innovate with purpose by setting a vision and creating structures to align the organization.
Co-innovating for impact
Biopharma company UCB works to improve the lives of people with neurological and immunological diseases now and in the future. By partnering with Microsoft, they prioritize digital innovation, driving impact across their organization and beyond.
How to define a holistic AI strategy
Dean Peter Zemsky, INSEAD's Eli Lilly Chaired Professor of Strategy and Innovation, introduces how AI is driving business value across industries and companies. This section provides an entry to thinking strategically about AI and how AI can create value to your business.
Using AI to create new business models
For 150 years, HOCHTIEF has provided construction and engineering services for customers around the world. Today, they’re using AI and next-generation technologies to create new business models and revenue streams through startup-like environments.
Building a successful AI roadmap
To unlock the potential of AI, leaders must have a vision that inspires their company, put steps in place to achieve that goal, and then execute. Host David Carmona speaks with leaders to share best practices for a long-term AI strategy.
Practical guidance to AI transformation
Jean-Philippe Courtois, EVP and President of Microsoft Global Sales, Marketing and Operations, introduces the masterclass series built in partnership with INSEAD to share real experience and insights into transforming your business and your industry.
Why culture change is critical to AI success
Across industries, new disruptive business models are springing up with AI at their core. Mitra Azizirad, Corporate Vice President at Microsoft, discusses why developing a strategy for AI extends beyond business issues—all the way to leadership, behaviors, and capabilities.
Building a culture of innovation
Mondelēz International has iconic snack brands like OREO, Cadbury, and more. To increase their ability to delight customers, they embrace AI across their organization—from research and development, to marketing and IT—creating new ways for people to work together.
The value of developing a data-driven culture
Undergoing an AI transformation requires an AI-ready culture. Hear from industry leaders on what it means to be data-driven and how organizations can ensure that subject matter experts are empowered to more effectively work with data scientists.
Bringing AI to Microsoft Finance
Microsoft Chief Financial Officer Amy Hood found that by embedding AI into key finance operations processes, her organization was able to improve forecast accuracy, reduce strain on employees, and better predict areas of risk.
Governance and external engagement
Brad Smith, President and Chief Legal Officer at Microsoft, shares what Microsoft is learning in our own AI journey. He also provides useful perspectives on how businesses can engage with AI responsibly as they introduce AI in their own products and services and within their organization.
Protecting customers with responsible AI
An international insurer with over 108 million clients in 57 countries, AXA is using AI to accelerate their ability to assess and predict risk. AXA is also working with Microsoft to shed light on the ethical and social issues of artificial intelligence.
Responsible AI in action
At Microsoft, we believe that building responsible AI solutions not only ensures inclusion, fairness, and transparency, it empowers better products and experiences. In this episode, experts share their own experiences to help you innovate responsibly.
4 elements of a responsible AI strategy
Putting responsible AI into practice requires a multi-faceted approach. Explore how to develop a comprehensive strategy.
Empowering everyone through AI at Scale
At Microsoft, we are pioneering an approach to AI that is reshaping software development and enabling next generation AI capabilities. Luis Vargas, Partner Technical Advisor at Microsoft, discusses how you can use the same principles and tools to put AI at Scale into action in your organization.
AI-driven logistics at scale
DHL is revolutionizing the supply chain industry with their warehouse-as-a-service approach. They’re scaling their AI-driven global model to more than 2,000 warehouses and 10,000 vehicles, and supporting business-to-business, business-to-consumer, and last-mile logistics.
Making innovation a business priority
Innovation is instrumental in creating long-term customer value. An innovative organization needs to allow employees to take risks, train employees to innovate with AI, and engage the right managers to balance competing interests.
Executive Q&A with Rimes Mortimer
Rimes Mortimer, Innovation Lead at Microsoft, discusses how to manage an innovation group and highlights the value of investing in disruptive tech. Mortimer also shares key insights that can help business leaders encourage and drive innovation in their organization.
Bringing AI to every employee
Navrina Singh, Co-founder of Credo.AI @ AIFund, explains why democratizing AI within an organization is critical to boosting employee productivity, driving business agility, and improving customer experiences.
AI is everywhere and for everyone
From tech and engineering employees, data scientists to drivers, app innovator Grab equips their people with AI tools and training to enhance their roles across transportation, food and courier delivery, financial technology, and more.
Bringing AI to every employee
AI's full potential is reached when you empower everyone in your organization with AI: help employees automate tasks, enable them to discover new insights, and more. David Carmona and his guests discuss how you can bring AI to every employee.
3 ways to scale AI in your organization
Susan Etlinger from Microsoft shares three ways business leaders can scale AI across the organization and the important role subject matter experts play at driving innovation with AI.
Explore machine learning and deep learning concepts
Microsoft expert Matt Winkler explores the basics of machine learning and deep learning and how they can be used to optimize business across industries. Get a deeper understanding of what machine learning is, how it works, and how these technologies can benefit your business.
Training next-generation autonomous aircraft
Bell is expanding on their legacy of aerospace innovation, using AI to develop aircraft that can take off, fly, and land autonomously as safely as with an experienced human pilot. AI is key to enhancing the safety and maneuverability of their products.
Accelerating innovation with AI at Scale
Today, AI is bound by limitations of infrastructure, effectiveness of machine learning models, and ease of development. AI at Scale expands beyond these limitations to allow rapid acceleration of AI innovation.
AI can help meet the needs of shareholders, customers, and regulators. From data security to accounting practices, digital transformation requires partners with AI expertise.
In healthcare, AI can deliver benefits to patients, providers, and payors—from shorter wait times to improved patient outcomes—while meeting challenges like regulation and system complexity.
AI-powered retail solutions can deliver better customer experience through recommendations and customization, while also improving inventory and supply chain management.
Digital transformation in manufacturing can enhance worker safety, improve efficiency, and deliver better yields—creating a jumping off point for more advanced AI adoption.
To achieve positive transformation, government agencies need to bring AI to more than just technical departments. Agencies can partner with data scientists and developers to redefine every process.
In education, AI is fueling transformation in learning outcomes and improving student engagement, accelerating innovation and overall effectiveness across schools and campuses.
Create innovative AI solutions
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