Agenda

Chair's opening remarks

Building an online dating recommender system: lessons learned in practicality

One of the most relevant but overlooked challenges in adding machine learning capabilities to an existing product is to minimize disruptions to the tech stack and codebase. In this talk, Shanshan will describe how a small team at Hinge built a game-changing machine learning-based online dating recommender in a matter of weeks by solving this challenge. Moreover, she will discuss how they designed the system with maintainability and scalability in mind.

Shanshan Ding Machine Learning Lead Hinge

Machine learning in innovative industries

Building deep learning applications - case study

Automating machine learning principles

Deep learning for autonomous vehicles

Data ethics and privacy

How to apply AI in a human-centric way

Preventing bias in AI

Using a data science framework to drive machine learning and a remarkable guest experience

Getting to actionable insights about guests is essential to the Alaska Airlines’ Remarkable Guest Experience. When developing machine learning models, the data preparation cycle is known to take 75-80% of the development time. Hear how Alaska Airlines is using data science automation technologies to speed up time-to-model and time-to-insights.

Heather Harris Solutions Architect & Data Scientist Alaska Airlines

Personalized recommendations to enhance the customer experience

Chair's closing remarks

Chair's opening remarks

Emerging leaders in driving innovation in healthcare analytics

Humans 2.0: The next frontier for AI in healthtech

Breakthrough applications as robotics powered by AI enter the health sector

The age of wearables and biosensors evolving health with human-centered AI design

Tracking, monitoring and analyzing: How cloud, AI and data visualization are transforming the health sector

Amplifying everyday health - eat, move, sleep, repeat: The movement currency and measuring AI success in healthcare

Empowering patients through real time data insights for better health management

Case study to be announced

From raw data to policy change that makes a meaningful difference: Collaborative efforts between public and private sector

Governing mass data: Deploying AI in the highly regulated health environment

How cybersecurity increasingly plays a pivotal role in designing the future of health

Chair's closing remarks

Chair’s opening remarks

Opening keynote: Setting the vision to transform marketing leadership through AI

• Our strategic roadmap to implementing AI and placing analytics at the heart of every marketing campaign
• Empowering smart decision making across the team to enhance marketing
• Fostering an agile mind-set to accelerate AI adoption

Maximizing big data ROI via best of breed technology patterns and practices

• Redefining the path to success through analytics
• Blending infrastructure, tools, and talent to drive growth
• Leveraging technology to improve revenue, profit and market share

Jeff Bertman Chief Data Engineer Warner Bros

Marketing in 2020: Demystifying Smart Assistants & AI

• How voice-driven AI technologies are changing customer behaviour
• Preparing for the future of marketing with voice assistants like Siri, Alexa & Google
• Reimagining customer experiences like search, shopping, and CRM

Amy Bishop Strategy Director Epsilon

Talking to bots is the new normal: Real world applications of chat technology combined with AI and ML

• How we developed platforms and tools to improve business performance
• Why experimentation is key to understanding customer behaviour
• Building NLP and conversational AI at scale

Franziska Bell, PhD Director, Data Science, Data Science Platforms Uber

How Pinterest is enhancing the customer lifetime value

Romit Jadhwani Business Intelligence Lead Pinterest

Getting personal with customers: Optimizing your omnichannel strategy using AI

• How AI impacts customer loyalty: Building consistency across touch points
• Effectively creating real-time customer experiences driven by data
• Using AI to nurture customer relationships both online and offline

Jason Mills Director of Product & Customer Experience Expensify

Deep learning 101: A lightning introduction - The Impact of AI on Visual Intelligence

In this session, learn about what neural net models can achieve today, how deep learning has made its way into several different verticals, and some ways companies are using AI to create business solutions.

Kevin Guo Co-founder & CEO Hive

Data driven product management: How to build a winning customer experience

• Utilizing AI to surprise and delight customers
• Gleaning insights to better understand customer journeys to develop products
• Building seamless experiences backed by AI

Cathy Tanimura Sr. Director of Analytics and Data Science Strava

Click, click, click, and post: How AI is the next game-changer to revolutionise social media

• How to AI allows marketers to harvest audience insights more effectively
• Better understanding audiences to achieve growth in engagement and ROI
• Real-time customer interactions through linking AI and chatbot technology on social media

Overcoming the data silo challenges: Solving the right problems through AI

• Not a one-size-fits-all approach: Finding answers in data sets big and small
• Using ML effectively to pick up patterns in user behavior
• Developing data literacy across the business to enhance capability and agility

Anna E Shen Marketing Manager, Paid Social Instacart

Chair’s closing remarks

Chair's opening remarks

Game telemetry 101 - uncovering the value of analytics

Working cross-functionally to bridge the gap between creative and analytical teams

Analytics is a discipline that relies on managing constraints, while creativity is – by design – an exercise in avoiding constraints. Explore in this session how WB Games has developed a discipline that enables developers, marketers and analysts to work at the speed of creativity.

Matt Howell Director, Analytics Warner Bros. Games

Hearthstone meta analysis

In Blizzard’s digital collectible card game, Hearthstone, players create 30-card decks and play them against one another, always keeping in mind what is currently top of the ‘meta'. Hear from Tian, Senior Data Scientist, on how they built a data pipeline from this raw gameplay data using unsupervised learning method (clustering) to then get deck prototypes from millions of deck content variations.

Tian Ding Senior Data Scientist Blizzard Entertainment

Identifying key metrics to enhance customer profiling

Session by Anodot

Utilizing customer data to create an interactive storytelling experience

Session from Microfocus

Creating a game economically with optimum monetization opportunity

Unlocking data to personalize the in-game experience

Chair's closing remarks

Chair's opening remarks

Building the machine learning teams of the future

Chair's opening remarks

The future of customized, targeted therapy for patients

Optimizing marketing data to personalize healthcare

Gamification in healthcare

Creating an authentic social presence to connect, collaborate and communicate with the healthcare industry

More sessions announced soon

Chair's opening remarks

How simple analysis can have a substantial impact on helping a company become more data-driven

Toca Boca is the the No. 1 mobile-first kids brand, creating digital toys and playful products for children around the world. The company recently conducted a seasonality analysis, which involved looking at revenue to determine optimal launch dates for products. Toca Boca's growth team used data to recommend target launch release dates for apps that maximized revenue potential. The result was record-breaking app revenue, as well as a complete shift in how Toca Boca produces apps - everything from forecasting financials to building timelines for game development teams. In her session, Nar will discuss what she learned from analyzing data over the course of a year, and how she used her knowledge to effect positive change for the company.

Nar Parisawan Senior Manager Analytics, Growth Lead Toca Boca

Analysing historic data to determine key consumer purchasing habits

Understanding consumer needs and revolutionizing customer support

Understanding data to increase brand engagement

Roundtables - challenge swap