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Presentation: Making AI FaaSt

Track: Developer Experience: Level up your Engineering Effectiveness

Location: Pacific LMNO

Duration: 2:55pm - 3:45pm

Day of week: Wednesday

Level: Intermediate

Persona: Developer, DevOps Engineer, ML Engineer

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Abstract

Bring AI and Serverless together and you create a new world in which what you thought you know about software may need to be adjusted. Developers transition from “micro-managers” - telling computers what to do step by step, into “teachers” - assisting computers in learning. The code alone is not enough anymore; if the past decades were spent producing tools to handle the code better, now there’s something more abstract than code, shaped in a human-unfriendly language, called “model”, which is entangled with the code. How does this impact developer experience? Is it easy to manage? Can serverless architectures improve it?     

This presentation will walk you through a demo AI app built with serverless, composing multiple AI functions into one workflow. The functions will be deployed into a FaaS platform powered by Apache OpenWhisk - the most popular open source serverless platform. You’ll learn about FaaS architectures, open source technologies, as well as areas where serverless streamlines the experience for developers. We'll try to answer the question: is AI development FaaSter with serverless?     

If you want to learn about emerging technologies enhancing developer experience, or if you’re passionate about AI applications, then this presentation is for you.

Speaker: Dragos Dascalita Haut

Principal Engineer @Adobe

Dragos D Haut is the Principal Engineer for the Adobe I/O, working with Apache OpenWhisk community on extending Adobe’s Cloud Services using a distributed serverless platform. Dragos prefers dynamic programming languages over static ones, dogs over cats, and like a true cloud-native developer, has not hesitation taking on challenges of scale, like fighting 100 duck-sized horses.

Find Dragos Dascalita Haut at

Speaker: Akhilesh Kumar

Senior Software Engineer AI/ML, Applied Machine Learning @Adobe

Akhilesh is a senior machine learning engineer at Adobe. He works in applied machine learning team at Adobe which is primarily responsible for putting deep learning models in production. Part of his job is to train, evaluate and put deep learning models in scalable systems. He is an avid reader and loves to come up with solution for wide variety of problems.

Find Akhilesh Kumar at

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