WEBINAR ENDED
About This Webinar
A few weeks ago, we explored one of the most powerful tools that organisations like Amazon and Netflix have used to thrive over the years - recommendation engines.

During our first webinar, we gave you a glimpse into what a basic recommendation system would look like and how you could go about setting one up. Following up on that, as promised, this session takes things a step further - showing you a more complex recommendation engine with more data and variables.

Phase two of our webinar series will take you further into the word of recommendation engines and how your organisation can benefit from leveraging a recommendation engine within your operations.

During this session, you will:

- Experience a deeper dive into recommendation engines
- Learn how you can build on your existing system to leverage more complex data for better decision-making using SAS Data Science Starter
- Be able to leverage the expertise of specialists and consultants within this space
Agenda
  • An introduction to Selerity and recommendation engines by Cameron Lawson - Services Manager of Selerity
  • A deeper dive into recommendation engines and how you can build on your existing system for better decision-making with SAS Data Science Starter
  • Q&A session
Presenter
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    Cameron Lawson
    Services Manager
    Cameron is an adaptive technical specialist and advisor with significant knowledge and experience in all phases of the information lifecycle. This includes architecture, governance, design, development, and operations. His vast knowledge and portfolio of skills span multiple disciplines including data integration, migration, quality, and information management projects across multiple technology platforms.

    Cameron’s experience has seen him perform senior and leadership roles on small-scale deployments through to large multi, million-dollar enterprise programs. These situations have benefited significantly from his expertise in integrating complex disparate systems into scalable, coherent solutions that enable action on analytic insight.

    Cameron has a strong Computer Science background and is fluent in multiple programming languages and design patterns allowing him to traverse across Enterprise Platforms from the client to the database.
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