In most traditional and digital insudtries, the application of AI/ML use case by use case may not lead to exciting business outcomes that justify the cost.
In this presentation, I detail how we are creating a ML products churning organisation that can deliver both value and innovation at scale.
Our approach busts the myth of ROI as is traditionally applied to ML.
- Cutting edge techniques enable the design of ML architectures and processes that can be applied to a class of problems rather than a specific use case
- Building service based data science teams will not generate the value and innovation businesses exepct from the field
- Building platform teams that deliver core scalable technologies that are supported by cutting edge architectures and methods is what we advocate
- This requires change in the way organisations in traditional businesses approach and think about technology