Presentation: The Fast Track to AI with Javascript and Serverless

Track: Machine Learning: The Latest Innovations

Location: Whittle, 3rd flr.

Duration: 1:40pm - 2:30pm

Day of week: Tuesday

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Abstract

Most people associate AI and Machine Learning with the Python language. This talk will explore how to get started building AI enabled platforms and services using full stack Javascript and Serverless technologies. With practical examples drawn from real world projects the talk will get you up and running with AI using your existing Node.js chops - no PhD required.

Previously, adopting and applying AI capabilities in a software platform or a typical enterprise technology estate was out of the reach of most developers and required highly skilled experts. Recently, we have seen a rapid growth in the range and capability of cloud native AI services from all the major providers. Armed with a basic understanding of the underlying concepts, developers can now adopt machine learning tools to solve real world business problems and add advanced features to their platforms without needing a multi-year research project. This talk will be based on my book AI as a Service https://www.manning.com/books/ai-as-a-service, published by Manning.

Focusing on Node.js and the AWS stack, this talk will cover:
- The range and scope of services available off the shelf today
- How each available service maps to a specific problem area and how to select a services for your specific context
- How these services can be adopted by developers through familiar API interfaces
- Patterns for adoption of AI services that can be used to augment existing systems and platforms with AI capabilities

The talk will then review some full example solutions to specific business problems taken from real world projects that we have recently worked on. All examples are implemented in Javascript and examples include

Problem Context: Triage and route product feedback. In retail and e-commerce it is important that customer feedback from multiple territories be handled quickly by the appropriate department.
Solution: AI Enabled data processing pipeline that performs, language translation, sentiment analysis text classification and message routing
Services used: Translate, Comprehend, Kinesis, SES

Problem context: During a signup process documents need to to be submitted, validated and information extracted e.g. from utility bills or passport
Solution: AI Enabled image recognition and text extraction service
Services used: Textract, Rekognition

 

Speaker: Peter Elger

Co-Founder & CEO @fourtheorem

Peter Elger is the co-founder and CEO of fourTheorem, a company providing expertise on next generation cloud architecture, agile development, AI and machine learning. Formerly a physicist working at the JET fusion research project, Peter was previously co-founder and CTO of Stitcher Ads, a social advertising platform and nearForm, a node.js consultancy. Peter holds degrees in physics and computer science and is a co-author of the Node Cookbook as well as several academic papers on software methodology. Peter’s latest book ‘AI as a Service’ is available from Manning Publications.

Find Peter Elger at

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