Registration and breakfast
DATAx Leadership Summit
Chair opens: Menti morning
Data tools: The current market trends and where we are heading in the future
How to monetise your data: The future of big data & AI.
How to monetise your data: The future of big data & AI.
Morning coffee break & networking
Using data to solve my complex business challenges
Data strategy and networking with Chief Data and Executive Officers
Running a data driven business from culture to competition
Running a successful department to contribute to bottom line
Lunch
Big data strategy: AI application and implications
Building Analytics System to Improve Your Prices and Profit
Afternoon coffee
Workshop: Leveraging departmental Data to Improve Business Results
Chair closes
Networking drinks
Machine Learning Innovation Summit
Registration and breakfast
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.

Machine learning in innovative industries
Building deep learning applications - case study
Morning coffee and networking break
Automating machine learning principles
Deep learning for autonomous vehicles
Panel: Lessons learned from building scalable machine learning projects

Networking lunch
Data ethics and privacy
How to apply AI in a human-centric way
Preventing bias in AI
Afternoon coffee and networking break
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.

Personalized recommendations to enhance the customer experience
Chair's closing remarks
Networking drinks reception
AI in Healthcare Summit
Chair's opening remarks
Emerging leaders in driving innovation in healthcare analytics
Humans 2.0: The next frontier for AI in healthtech
Morning coffee break & networking
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
Lunch
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
Afternoon coffee & networking
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
AI in Marketing Summit
Registration and breakfast
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

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

Morning coffee break & networking
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

How Pinterest is enhancing the customer lifetime value

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

Lunch
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.

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

Panel Discussion: Boosting consumer satisfaction with advanced analytics and data visualization
• Brand monitoring in the age of trolling: Using AI and NLP to protect your brand
• Enabling AI tools to sort through unstructured customer feedback responses
• Best practices in data visualisation to avoid anomalies and false representation
Afternoon coffee & networking
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

Panel discussion: Let's talk numbers - How AI can make a real impact on your ROI
• Innovating with data to improve customer acquisition and increase sales
• Boosting your marketing performance and lifting other departments
• Pinpoint accuracy and enhancing analytical capability to drive growth


Chair’s closing remarks
Networking drinks
Gaming Analytics Summit
Registration and breakfast
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.

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.

Morning coffee and networking break
Identifying key metrics to enhance customer profiling
Session by Anodot
Utilizing customer data to create an interactive storytelling experience
Networking lunch
Panel: AI and the future of gaming technology


Session from Microfocus
Creating a game economically with optimum monetization opportunity
Afternoon coffee & networking break
Unlocking data to personalize the in-game experience
Chair's closing remarks
Networking drinks reception
Networking drinks ends at 6.15pm.
Registration and breakfast
DATAx Leadership Summit
Registration and breakfast
Chair opens: Menti morning
Creating an unforgettable customer experience
Transitioning from a data-less business to data driving your strategy
Making your analytics system simple
Panel: Creating a data culture
Morning coffee
Creating the perfect marketing campaign using analytics
Integrating Operating Technology & IT: cyber security vulnerabilities
Fireside chat: A Holistic view of your customers
Lunch
Real time data analysis and ML
Data Strategies for Enterprise: Model Risk; Operationalisation of Data Insight
Afternoon coffee
Start-up business competition
Chair closes
Machine Learning Innovation Summit
Registration and breakfast
Chair's opening remarks
Building the machine learning teams of the future
Panel: Bridging the data skills gap and preparing for the future

Morning coffee and networking break
Networking lunch
AI in Healthcare Summit
Chair's opening remarks
The future of customized, targeted therapy for patients
Fireside chat: Why AI and precision medicine are the next game-changers for healthcare
Morning coffee break & networking
Optimizing marketing data to personalize healthcare
Gamification in healthcare
Creating an authentic social presence to connect, collaborate and communicate with the healthcare industry
Lunch
Roundtables
1. Capturing data meaningfully to drive healthy behaviour
2. Designing scalable and sustainable technology
More sessions announced soon
AI in Marketing Summit
Gaming Analytics Summit
Registration and breakfast
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.

Analysing historic data to determine key consumer purchasing habits
Understanding consumer needs and revolutionizing customer support
Morning coffee and networking break
Panel: Creating the game - from pitch to development
