
Most companies use AI technologies in their workflows. However, not always do they realize the implications of this decision. Though AI technologies work well in most use cases, they can also fail spectacularly. As a product builder or a service provider, you become responsible for these failures and maybe for the consequences too. Hence it is very important to review how you use AI, the models used and the data used to train them in the context of the use cases.
In this session, my effort will be to review the above and to point out the any possible pitfalls. Please be ready to walk me through the use cases, high level system architecture and the details around the AI implementation.