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Course Description
In this course, learners will explore the essentials of monetizing AI and data, focusing on evolving basic features into comprehensive platforms and aligning them with business strategies. The course delves into creating ethical, cost-effective infrastructures and transforming data into valuable products and services.
It emphasizes building a unified vision for AI products, ensuring consistent monetization, and understanding the vital role of infrastructure in AI initiatives. Practical frameworks and strategies are provided to navigate the complexities of AI and data monetization effectively.
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more- 1
Product-first monetization
FreeExplore a product-first, customer-focused approach to data and AI is promoted, emphasizing their strategic role in creating diverse value streams and addressing market needs, with a shift away from a purely technological perspective.
- 2
Data-driven opportunities
Learn to identify valuable data-driven opportunities by focusing on accessible, ethical data-generating processes, aligning them with business strengths, and strategically planning for long-term AI and analytics success.
- 3
Strategic AI Monetization
Learn how to strategically monetize AI and data by transitioning from basic features to comprehensive platforms, aligning with business strategies, and considering ethical and cost-effective infrastructure development.
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreCollaborators
Vin Vashishta
See MoreFounder and Chief Revenue Officer of V Squared
Vin Vashishta is the Founder of V Squared and its Chief Revenue Officer and technical strategist. He builds data and AI strategies for SMEs and Fortune 500 clients.
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