Ya Xu: How to Turn AI from a Buzz Word to a Business Tool
1h 9mIntermediate2023-06-28
Authors
Ya Xu
Course details
Is it all hype? Is it just a buzzword? What are we to make of AI today? Join the head of data and AI at LinkedIn, Ya Xu, named one of Fortune magazine's 40 Under 40 in Tech, to gather insights and invaluable perspectives for tech- and business strategists on how to think about the opportunities, challenges, and lessons presented by AI in a data-driven world.
Explore a wide range of topics and trends in contemporary AI such as responsible AI, human-centric AI, AI product development best practices, how to build teams across an enterprise, how to think about emergent tools, and more. Along the way, get tips from Ya on preparing for a future that seems uncertain, full of questions, and always at risk of moving faster than we can react.
Explore a wide range of topics and trends in contemporary AI such as responsible AI, human-centric AI, AI product development best practices, how to build teams across an enterprise, how to think about emergent tools, and more. Along the way, get tips from Ya on preparing for a future that seems uncertain, full of questions, and always at risk of moving faster than we can react.
Skills covered
Artificial Intelligence FoundationsArtificial Intelligence for BusinessArtificial Intelligence (AI)Business Analysis and StrategyOne-Off
Concepts
Introduction
- Getting the most out of AI
Principal Trends in Buildilng and Creating AI
- Product interactions and experiences that are AI-centric
- External leverageable technology will move up the stack
- Platforms, infrastructure, and scalability demands
- Step-level transformation of development for data and AI
- Shift in skills and team composition
Getting AI Up and Running in Your Organization
- Advocating for AI integration in your organization
- Speaking to ROI - The metrics that matter
- Speaking to ROI - Advice for leaders
Making AI Sustainable and Integrated in Your Business
- Creating a sustained impact with AI for your business goals
- Investing, growing, and scaling AI
- Building AI responsibly
Conclusion
- Continuing on with AI in your organization