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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

Proposed Tracks

  • Building High-Performing Teams

    Building, maintaining, and growing a team balanced for skills and aptitudes. Constraint theory, systems thinking, lean, hiring/firing and performance improvement

  • Software Defined Infrastructure: Kubernetes, Service Meshes & Beyond

    Deploying, scaling and managing your services is undifferentiated heavy lifting. Hear stories, learn techniques and dive deep into what it means to code your infrastructure.

  • Practices of DevOps & Lean Thinking

    Practical approaches using DevOps and a lean approach to delivering software.

  • Operationalizing Microservices: Design, Deliver, Operate

    What's the last mile for deploying your service? Learn techniques from the world's most innovative shops on managing and operating Microservices at scale.

  • Developer Experience: Level up your Engineering Effectiveness

    Improving the end to end developer experience - design, dev, test, deploy and operate/understand.

  • Architectures You've Always Wondered About

    Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more

  • Machine Learning without a PhD

    AI/ML is more approachable than ever. Discover how deep learning and ML is being used in practice. Topics include: TensorFlow, TPUs, Keras, PyTorch & more. No PhD required.

  • Production Readiness: Building Resilient Systems

    Making systems resilient involves people and tech. Learn about strategies being used from chaos testing to distributed systems clustering.

  • Building Predictive Data Pipelines

    From personalized news feeds to engaging experiences that forecast demand: learn how innovators are building predictive systems in modern application development.

  • Modern Languages: The Right Language for the Job

    We're polyglot developers. Learn languages that excel at very specific tasks and remove undifferentiated heavy lifting at the language level.

  • Delivering on the Promise of Containers

    Runtime containers, libraries and services that power microservices.

  • Evolving Java & the JVM

    6 month cadence, cloud-native deployments, scale, Graal, Kotlin, and beyond. Learn how the role of Java and the JVM is evolving.

  • Trust, Safety & Security

    Privacy, confidentiality, safety and security: learning from the frontlines.

  • Beyond the Web: What’s Next for JavaScript

    JavaScript is the language of the web. Latest practices for JavaScript development in and out of the browser topics: react, serverless, npm, performance, & less traditional interfaces.

  • Modern Operating Systems

    Applied, practical & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on.

  • Optimizing You: Human Skills for Individuals

    Better teams start with a better self. Learn practical skills for IC.

  • Modern CS in the Real World

    Thoughts pushing software forward, including consensus, CRDT's, formal methods & probabilistic programming.

  • Human Systems: Hacking the Org

    Power of leadership, Engineering Metrics and strategies for shaping the org for velocity.