HXD 2018

Design Thinking + Data Science: How to translate your experience strategy into the language of AI and machine learning 

2 hours
This “session will include presentations and workshop-style exercises that explore data science and machine learning, and we’ll discuss how everyone from designers to product managers to executives can define and execute solutions that depend on machine learning, AI, and other innovations in data science. Rather than thinking of machine learning as a magic button or black box that produces insights, attendees will leave this session with a better understanding of the processes that make these insights real, and with the vocabulary (and confidence) to engage with colleague and partners in the design of machine learning supported experiences.
Topics will include:

• AI/ML Branches and use cases in everyday life and in healthcare
• Experience design considerations
• Applied AI Case Study: Implementation of voice AI technologies
• Applied AI Case Study: Setting up a data science and machine learning project
• Key ingredients for successfully developing and implementing AI solutions
• Multiple interactive activities throughout the workshop

AI - the muscle and the brain

Don’t believe the hype; there is no one thing called Artificial Intelligence, and no one product that is going to magically transform your customer’s experience across mobile, web, assistant, and call center channels.

In reality, AI is largely a collection of technologies and capabilities centered around big bodies of data, math to crunch the numbers, and smarter touchpoints across a user journey. Used correctly, AI delights customers with frictionless, individualized experiences. But these are powerful and delicate tools, and they do quite a bit of damage to both brands and customer relationships when used incorrectly.

In this talk, we will separate fact from fiction, and explore how designers, product managers, and strategists can incorporate AI into their organizations, processes, and products. Using insights gathered from customer research, and lessons learned working with established vendors and small startups, attendees will learn about valuable tools, critical dependencies, and best practices when developing intelligent digital experiences.