Learn why successful machine learning starts with a clear business problem and not just data. This video guides you through setting the right objectives, using quality data, and ensuring long-term impact through proper infrastructure and stakeholder engagement.

Why start with the business problem
Machine learning can transform businesses, but the key to success is beginning with a clear business problem. This video explains why defining your objective first ensures that projects deliver real value, rather than just experimenting with data for novelty.

Using data and technology effectively
High-quality, representative data is essential for machine learning models to perform well. We explore how focusing on relevant data and aligning technology with business goals creates solutions that actually solve problems, driving better decisions and efficiency.

Making machine learning stick
Long-term impact requires more than building a model. We cover MLOps practices for reliable model deployment and retraining, and highlight the importance of change management. Engaging stakeholders and facilitating adoption ensures your machine learning projects succeed in the real world.