Project Management For AI And Data Science
AI is driving the need for change in project management. AI and data science need to be managed just like any other software and R&D activity, but they also require additional tasks, such as managing the data scientists, expectations and risks.
The Tesseract Academy is leading this space with its project management frameworks for AI and data science that are being developed to help organizations address AI use cases and enable them to author, optimize, and execute their strategy.
Data Science Project M anagement
Learn how design and execute a data science project from start to finish. Minimise risk, while maximising impact.
Minimise risks
Data science is an exercise at risk management. Minimise uncertainties and eventualities which can severely impact your project.
Maximise impact
Learn how to make sure that the goals of your project are aligned with the most important company KPIs. Ensure that the results are aligned with the business objectives.
Delivery on time
Make sure that the projects will be delivered 100% on time.
