Schedule

8:00 AM

Breakfast and Roundtable Discussions
Meet the colleagues you’ll be spending the day with. Grab coffee or tea and hot breakfast.

9:00 AM

Practical Panel //  This is How We Do It: AI/ML + Deep Learning in the Real-World

  • Machine Learning was demystified for consumers the moment we got hooked on Alexa and Siri, what does this look like in a commercial setting?

  • From Development to Design to Decision, what’s the right problem set and data set to start with?

  • Meet business leaders who are applying AI/ML and deep learning to design empathetic customer journeys and deliver responsive care that

    • Builds revenue

    • Decreases churn

    • Improves customer happiness

10:15 AM

Thought Leaders Panel // Machine learning is challenging what we thought we knew: Are your KPIs lying to you?

  • How to confront the underlying shortcomings of KPIs, for example Net Promoter Score (NPS)  with an ML-powered complement: Real-Time Emotion + Sentiment

  • Hear how deep learning better predicts churn, spots trends, and invites specific, timely, proactive intervention

  • Leave with ideas to train and deploy a model that generates a Customer Happiness Score

11:15 AM

101 // AI/ML + deep learning for non-technical leaders

  • What is Deep Learning and how is it different from Machine Learning (ML) and Artificial Intelligence (AI)?

  • What’s necessary to implement an effective ML-to-DL strategy besides data?

  • What are emerging applications for deep learning and where should I start?

  • Who needs to buy in, in order to implement deep learning and how can effort, access, and benefits be democratized?

12:30 PM

Walking tour of MIT + Grab and go lunch

2:00 PM

Design Keynote // Engineering with empathy and designing for humans

  • How NLP-powered design solves the problems you probably have.

  • Designing for human comprehension is central to innovation.

  • When text fails to accurately capture human emotion, the outcomes are easier to spot than the root cause (processes break, biases appear, outcomes suffer, meaning is obfuscated).

  • Designing for human comprehension is central to innovation and without it, no one is able to use anything new.

3:30 PM

AI for Good // Saving Lives on Social: How deep learning can deliver effective content moderation to solve the mental health crisis on social media

5:30 PM

Dinner and drinks at The Glass House