Nailing Your Data & AI Use Case Roadmap
Nailing Your Data & AI Use Case Roadmap
2 Weeks
·Cohort-based Course
Examine the impact data and AI can have on your business and create an actionable use case roadmap - live in the course!
Nailing Your Data & AI Use Case Roadmap
2 Weeks
·Cohort-based Course
Examine the impact data and AI can have on your business and create an actionable use case roadmap - live in the course!
Get notified about the next cohort
Hosted by
Tobias Zwingmann
Sr. Data Scientist, 15+ yrs. corporate, built $50k+ data-driven B2B products
Course overview
The best way to start data projects? Stop leaving it all to the data scientists!
Your knowledge is the key to a successful Data & AI project.
Learn timeless frameworks such as Impact Mapping and the 4V-Analysis that let you leverage your business and domain knowledge to spot high-value data and AI use cases and turn them into successful data projects.
Who is this course for
01
You’re a corporate business leader or startup founder who wants to leverage data & AI to enhance your business.
02
You want to turn loose ideas into an actionable, prioritized use case roadmap and finally ship your fist Minimum Viable Product (MVP).
03
You’re in a consulting role and want to upgrade your skills to add innovative data & AI use cases to your portfolio.
What you’ll get out of this course
Turn business problems into data problems
Learn how to translate business problems into data problems and communicate these with data scientists so you can find the most relevant use cases and get your initiative off the ground.
Assess feasibility of your use case ideas
Learn the essential frameworks and guiding questions that let you assess the estimated complexity of your desired use cases.
Avoid typical pitfalls
Don't make the same mistakes as everyone else and avoid the sunk cost fallacy that so many ML projects have fallen victim to.
Build a prioritized roadmap
Rank your use cases by business impact and feasibility to identify emerging champions and low-hanging fruit that you can implement quickly.
Identify your best prototype candidate
Tackle your roadmap step by step and learn essential techniques to ship your first data-driven MVP.
Write solid requirements documents for data projects
Set your use case up for success by writing crystal clear requirements that any data scientist can actually work with.
Learn to ask the right questions and communicate effectively with data scientists
Stop asking data scientists questions that only lead to more questions. Get over the back and forth and establish a communication loop that delivers results.
Know what it takes to make data science projects succeed
Apply iterative thinking and use agile project delivery techniques to meet expectations and build your data science use cases piece by piece.
Meet your instructor
Tobias Zwingmann
Senior Data Scientist | Managing Partner | Author
Tobias is a Senior Data Scientist with a strong entrepreneurial bias.
He has more than 15 years of professional experience in a corporate setting, where he was responsible for building various Data Science use cases and developing an enterprise-wide data strategy.
His use cases led to the development of several internal and external data-driven products and improved processes, for example a new data-driven B2B service that quickly turned into an additional six-figure revenue stream for the business.
In 2020, he co-founded the German AI startup RAPYD.AI, where he's currently managing partner. Tobias recently wrote his first book "AI-Powered Business Intelligence", published by O'Reilly Media, USA.
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Nailing Your Data & AI Use Case Roadmap
Course syllabus
01
Data Analytics & AI Capabilities
Understand the fundamental building blocks of what data analytics and AI can do. You'll learn about essential concepts such as the analytical maturity model but, also more advanced things such as AutoML, AI-as-a-service and Large Language Models.
02
Mapping Business Impact
Learn to systematically assess and prioritize the potential business impact of a data use case using proven methods such as the impact mapping technique.
03
Assessing Use Case Feasibility
Learn what questions to ask to assess the overall complexity and feasibility of a data use case, and assess feasibility using an assessment framework that evaluates data across 4 dimensions.
04
Use Case Prioritization and MVP Phase
Create your 100-days use case roadmap to prioritize your data projects, line up your high-priority candidates, and craft a compelling requirements document or business proposal to launch your first prototype or Minimum Viable Product (MVP).
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you