Skip to main content
HomeArtificial Intelligence

Monetizing Artificial Intelligence

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Start Course for Free
1 hour11 videos30 exercises2,044 learnersTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

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 platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.

In the following Tracks

Artificial Intelligence (AI) Leadership

Go To Track
  1. 1

    Product-first monetization

    Free

    Explore 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.

    Play Chapter Now
    The monetization mindset
    50 xp
    Product first
    50 xp
    Case - Strategic shift
    50 xp
    Data and AI
    50 xp
    Generating data
    100 xp
    Case - Customer segment
    50 xp
    The data and AI asset class
    50 xp
    Case - Growing success
    50 xp
  2. 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.

    Play Chapter Now
    Opportunity Discovery
    50 xp
    Opportunity insights
    50 xp
    Opportunity essentials
    50 xp
    Opportunity Discovery Insights
    50 xp
    Generative paths
    50 xp
    Achieving efficiency
    50 xp
    Creating a vision
    50 xp
    Future vision
    50 xp
    Cultivating AI Success
    50 xp
    Ethics upgrade
    50 xp
    Busting myths
    50 xp
  3. 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.

    Play Chapter Now
    Combining Data and AI
    50 xp
    Case - Platform comparisons
    50 xp
    Platforms vs products
    100 xp
    Realizing success
    50 xp
    Base requirements
    50 xp
    The Hard Truth
    50 xp
    Tackling AI
    50 xp
    Case - Establishing dominance
    50 xp
    Infrastructure
    50 xp
    Justification
    50 xp
    Connecting costs
    50 xp
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

In the following Tracks

Artificial Intelligence (AI) Leadership

Go To Track

collaborators

Collaborator's avatar
Joe Franklin
Vin Vashishta HeadshotVin Vashishta

Founder and Chief Revenue Officer of V Squared

Vin Vashishta is the Founder of V Squared, an Applied Data Scientist, and an AI Advisor. He builds data and AI strategies for Fortune 500 clients.
See More

What do other learners have to say?

    Join over 15 million learners and start Monetizing Artificial Intelligence today!

    Create Your Free Account

    GoogleLinkedInFacebook

    or

    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.