Integrating Machine Learning Capabilities into your team

ai machine learning tooling

by Cameron Vetter

Sat, Apr 13, 2019
Room: Garden Room
Time: 9:15

Machine Learning is here today and is quickly becoming an expected skill of development teams. As a technical leader on your team, you need to not only help your team learn how to do machine learning, but also select the right tools, integrate the tools into your tool chain, and understand how to deploy and version machine learning models. This talk answers these questions using the Microsoft stack as an example. We will walk through my approach to integrating Machine Learning into a team. The topics covered include: • Where to start, while minimizing investment and risk. • The spectrum of tools from off the shelf to handcrafted. • Packaging and deploying your model. • Integrating your model into your system. • Other considerations and risks. You'll leave with my perspective on how to introduce a team to machine learning and how I recommend integrating machine learning into your software development toolkit. TARGET AUDIENCE: Senior Developers, Architects, Technical Leaders

About the Author

Software Development is my passion. I have 20 years of experience using Microsoft tools and technologies to develop software. I have experience in many roles including Development, Architecture, Infrastructure, Management, and Leadership roles. I've worked for some of the largest companies in the world and for small local companies getting a breadth of experience in different Corporate Cultures. Currently, I am the Principal Cloud Architect at SafeNet Consulting, where I get to do what I love... Architect, Design, and Develop great software! I currently focus on Microservices, SOA, Azure, Cognitive Toolkit, and Kubernetes.