Slalom invites you to a workshop on how to utilize Machine Learning to drive business outcomes with Amazon Web Services (AWS)

Join leaders from Slalom and AWS, for a buzzword free ½ day workshop that will provide you with the knowledge to understand what Machine Learning (ML) is, how to apply ML to your specific business objectives, and the next steps to starting your ML journey. 

Just last week AWS announced their new Machine Learning competency for Consulting Partners and due to Slalom's proven ability to drive business outcomes in the AWS Cloud environment, we were thrilled to be named a Machine Learning launch partner. Now we want you to join us as we share our expertise to help you discover how you can leverage the mind-blowing innovation of machine learning to make better, faster business decisions.

In this workshop, we will work through key elements, such as use-cases and data foundations, that will successfully enable your business strategy with machine learning. We will identify human work activities that are already being impacted by Machine Learning (ML): Recognizing known patterns, generating natural language, understanding natural language, and optimizing and planning. Then, we will explore the stages of maturity for adopting machine learning, including education, exploration, engagement, execution and enhancement. 

AWS will also expand upon the knowledge you learn in this session by offering a free, 2-hour session to those that attend on utilizing AWS for your machine learning strategies.

Who Should Attend?

• This workshop is for business executives (Operations, Product, Revenue, Sales & Customer Service, Marketing, E-Commerce & Digital) seeking to understand the practical applications of Machine Learning in driving business outcomes.
• Past attendees include: Chief Operating Officers, Chief Revenue Officers, Chief Financial Officers, Chief Risk Officers, VPs of Product & Customer Service, VPs of E-Commerce & Supply Chain Management, VPs of Sales & Marketing

Agenda for June 19, 2018

8:30 am - 9:00 am: Check-in & Breakfast
9:00 am - 9:30 am: Machine Learning in plain English
9:30 am - 10:00 am: Key lessons learned for ML in the organization
10:00 am - 10:30 am: Real-world projects and business results
10:30 am - 10:45 am: Break
10:45 am - 11:15 am: Artificial Intelligence & Machine Learning on AWS
11:15 am - 12:00 pm: How to identify where to apply Machine Learning and why
12:00 pm - 12:30 pm: Next steps to start your journey