Can the AI hype & ML algorithms harm your DevOps initiatives?

AI is such a buzzword, with its futuristic implementations and sophisticated machine learning algorithms (Hello, Deep learning!). We are using ML when we need external data to reach a working product because it would be impossible to solve it with the regular for/if/loops. What are the next steps? Moreover, what about Test, Release and Deployment? We will dive into AI implementations, its achievements & mistakes to discuss DevOps, Agile, ML & AI.



Thiago Assuncao de Faria

As a Mathematician and Statistician, he always enjoyed data modelling, predicting, data sharding algorithms and implementing data products. He worries about the Ops part of AI, joined the devops ...