To take advantage of all AI can do, it’s essential to get your technology ready. In this brief virtual seminar, you’ll learn the pillars of responsible AI along with actionable insights on building a safe, secure, and trustworthy foundation for digital business practices.
Microsoft and thought leaders from across their partner ecosystem share insights and ideas to help you build your AI-ready foundation.
Critical factors for your AI transformation
As you chart your AI transformation journey, there are a number of factors to consider - you can learn more about the drivers of AI value in The AI Strategy Roadmap from Microsoft. In this series, experts from Microsoft's partner ecosystem explain how you should think about a few of these factors, providing you with a solid foundation for driving meaningful business impact through AI technology.
When you complete the seminar, you’ll receive a LinkedIn profile badge to show off your knowledge of responsible AI principles and AI adoption readiness.
01 · Introduction to the foundations of Al
Tony Surma, Microsoft’s CTO of Americas GPS, shares an overview of the layers in the AI Foundation and the benefits of embracing the era of AI.
02 · Responsible AI principles
Explore Microsoft’s Principles of Responsible AI and how they can help you build a safe, secure, and equitable foundation for future AI adoption
03 · Invest in tech that is Al ready
Learn from MCA Connect and Neudesic why organizations should start with a technology investment strategy as a foundation for capitalizing on AI advancements.
04 · Move data to the cloud
Hear from the experts at Dynatrace and Rubrik why cloud-based infrastructures are a critical starting point for your digital AI foundation.
05 · Ready your data
Thought leaders from Informatica and Profisee share the importance of building your digital AI foundation on high-quality and trustworthy data.
06 · Ensure data security
Learn from thought leaders at Elastic and Commvault about the importance of building your digital AI foundation with robust security measures and auditable testing.