Most companies fail to achieve the full impact they were
hoping for when they started investing in DataScience and
AI. Many projects die in the POC phase and never get fully
deployed let alone, scaled. Scaling AI is of the biggest
challenges faced by industry today and takes much more
than a good idea and algorithms. In this video, I explain
all the six pillars that impact the success of data
science and AI projects:
- Strategy
- Operating Model
- Tools & Technology
- MLOps & Engineering
- Change Management
- Training and Skills development