Day 1 - 19 June 2019
Applied AI & Big Data: Chair’s welcome and opening comments
Managing Director - Emerging Technology
Accenture Applied Intelligence
10:00AM - Day 1
04:40PM - Day 1
Keynote: Responsible AI Transformation
AI may be the talk of the town, but it’s not a silver bullet. That’s where Applied Intelligence comes in: It’s a unique approach to combining AI with data, analytics and automation under a bold strategic vision to transform businesses—not in silos, but across every function and every process, at scale. It enables organizations to do things differently and do different things. It’s about embedding intelligence at the core of business to drive transformative outcomes – responsibly. AI should benefit users, communities and society at large, guided by core principles that help deliver desired outcomes while engendering trust.
Vice President, Digital Health - Head of New Business Development & Connected Value Propositions
10:30AM - Day 1
IoT, AI & 5G enabling the next frontier in personalized healthcare
What we have been calling health care throughout the years has not been health care; it has been sick care. We are at the verge of something truly transformational in healthcare, driven by the IoT, AI, and 5G and together they can and will make possible, things that never existed or that seemed utopian not too long ago. – Global healthcare is at a tipping point
– Challenges and opportunities reshape the future of healthcare
– The IoT and AI enable real-time, personalized, adaptive & predictive healthcare, providing better care and user experience at lower costs
– Coupling 5G with the IoT & AI will turn utopian applications into reality
Consultant & Analyst
Evenovate & Tel Aviv University
11:30AM - Day 1
11:30AM - Day 1
Barry van’t Padje
Senior Advisor Data and Research
Municipality of Amsterdam
11:30AM - Day 1
Panel: AI for social good
• How is AI being successfully applied to challenge social problems?
• What are the potential uses of AI to solve social and ethical problems?
• AI’s impact across Health, Environmental Sustainability and Public Welfare
Space for Sustainable Development
The view from space has forever changed our vision on our home planet, revealing its beauty while pointing at the same time to its inherent fragility. This new perspective from above contributed to the emergence of the concept of Sustainable Development (SD), by convincing many of the need to (better) manage our (rapidly depleting) resources in a sustainable manner that would “meet the needs of the present without compromising the ability of future generations to meet their own needs”.
Over the last decades, the principles of SD were progressively adopted by world leaders on the occasion of a series of Earth Summits. One of the key challenges to implement SD however lies in one’s ability to measure it. As stated by Lord Kelvin, “if you cannot measure it, you cannot improve it”. The challenge is further compounded by the inherent global nature of the problem, which calls for global data sets.
Earth Observation (EO) satellites can play a key role to meet this challenge, as they uniquely placed to monitor the state of our environment, in a global and consistent manner, ensuring sufficient resolution to capture the footprint of man-made activities.
The world of EO is rapidly changing driven by very fast advances in sensor and digital technologies. The speed of change has no historical precedent. Recent decades have witnessed extraordinary developments in ICT, including the Internet and cloud computing, and technologies such as Artificial Intelligence (AI), leading to radically new ways to collect, distribute and analyze data about our planet. This digital revolutionis also accompanied by a sensing revolutionproviding an unprecedented amount of data on the state of our planet and its changes.
Europe is leading this sensing revolution in space through the EO missions of the European Space Agency (ESA), a new generation of meteo missions for Eumetsat, and especially the Copernicus initiative led by the European Union (EU). The latter is centered around the development of a family of Sentinel missions by ESA for the EU so as to enable global monitoring of our planet on an operational and sustained basis over the coming decades. In addition, a new trend, referred to as “New Space” in the US or “Space 4.0” in Europe,is now rapidly emerging through the increasing commoditization and commercialization of space. In particular, with the rapidly dropping costs of small sat building, launching and data processing, new EO actors including startups and ICT giants, in particular across the Atlantic, are now massively entering the space business, resulting in new constellations of small-sats delivering a new class of data on our planet with high spatial resolution and increased temporal frequency.
These new global data sets derived from space lead to a far more comprehensive picture of our planet, thereby enabling the monitoring of SD progress. In this context, this talk will briefly present some elements of the ESA EO programmes and missions, and their evolution, highlighting their related scientific and societal applications, in particular regarding how space can help in supporting SD.
Lead Solutions Marketing Manager
12:40PM - Day 1
How a Leading Vehicle Manufacturer cut Fleet Downtime with Automation, Big Data and IoT
- Building a powerful predictive maintenance program using the Internet of Things, Big Data and Machine Learning
- Running a dynamic Big Data pipeline in multi-cloud environments
- Delivering cost-saving insight and action with Application Workflow Orchestration
Extending Engineers’ toolbox with AI and applying AI for good!
The presentation will cover various example of applications of AI linked to computer vision, autonomy , pattern detection, natural Language processing, in AIRBUS Defence and Space.
We will also describe how we are accelerating AI adoption through providing infrastructure and platform but more importantly engaging our engineers and building an efficient community.
Last we will describe some of the challenge we face regarding usage of AI and how we try to work notably in collaboration with external partners to address them.
Dr Katie Russell
Head of Data & Analytics
03:10PM - Day 1
Smart meters and IoT: a case study on how OVO deploy AI and Kafka to tackle climate change
Climate change and smart meters are a topic that go hand in hand in the energy industry, but usually with a big dose of scepticism. How much will smart meters really help customers reduce their energy usage?
It’s a good question. But then why is OVO Energy, the UK’s leading energy technology company, leading the rollout?
The answer lies in renewables – tackling climate change means we need to maximise our use of renewables, but our current energy systems require a perfect balance of supply and demand, which renewable energy generation disrupts. So, using AI, Kafka and IoT devices, OVO are building a distributed network of electricity storage in customers homes. Smart meters are just part of the telemetry that’s needed to manage this complex system, but a vital first step and something that we need our customers to desire in their own right.
In this talk I’ll discuss OVO’s vision for the energy system of the future. I’ll explain the role of AI in delivering on this vision through intelligent grid management and innovative customer propositions leveraging smart meter data. And finally I’ll explain why we chose Kafka to help us handle the billions of messages streaming through our systems every day.
Vice President and General Manager, Big Data Analytics and IoT
03:40PM - Day 1
The Big Data Challenge
Are you looking to derive more value from one of your most important assets, data? Unlocking your data whilst overcoming the challenges many experience is important to modernising a business. Through real-world examples we share how we are enabling customers to overcome their issues to deliver tangible business outcomes. Learn about how we support organisations through our data scientists and engineers together with our platform capabilities, enabling data innovators to understand the past and predict the future.
04:10PM - Day 1