18 April 2018
AI for Developers: Chair’s Welcome
Keynote: The AI and Machine Learning Revolution
- How to put ML models into production
- Current options and challenges of ML hardware
- Challenges faced by Enterprises using new deep learning and ML technologies
- What are the next wave of ML innovations?
Panel: Data and ML architecture
- Frameworks for data acquisition
- Creating big data and ML pipelines to power algorithms
- Model training and evaluation
- Designing a scalable and robust infrastructure
- How to utilize cloud-based systems for complex computing
Understanding the Market for Machine Learning Applications
- Understanding the different ways machine learning algorithms are being used in apps
- How does machine learning connect to robotics
Case Study: AI Innovations for Tomorrow’s Mobility
How can artificial intelligence make an impact on the way we move around in the future? This case study will discuss how automotive OEMs are developing AI technology for autnomous driving, enchancing the in-vehicle experience and predictive maintenence.
AI Tools & Techniques
We showcase the latest tools & techniques enabling the world of AI & ML
Keynote Panel: Driving Digital Transformation through AI & DL development
- What are the fundamental buildings blocks needed for build a digital organisation using AI, ML & DL in terms of people, skills and tech?
- Discussing the role of other companies within the process, from start ups to big ticket providers.
- Examining digital transformation from both industrial (digital twins etc) and business information (supply chain analysis) perspectives.
- Real life examples of successful transformations from across Enterprise.
Deep Machine Learning in the Embedded Space
- The challenges of targeting embedded and mobile software
- A look at the hardware solutions available
- New developments in Advanced Neural Networks for smartphones, drones and cars
- What opportunities do these developments bring?
The Ethics of Artificial Intelligence
According to the World Economic Forum, there are nine key ethical issues to be considered when developing and implementing AI products; unemployment, inequality, humanity, artificial stupidity, racism, ‘evil genies’, the singularity and robot ethics. This talk will discuss each of these and how humans will have to consider each in the future.
Investor Panel: Financing your AI Innovation
Our panel of AI investors and venture capitalists discuss what they look for before investing in a fledgling AI company. A must attend for all AI start-ups and entrepreneurs.
Start up Showcase- Using AI & Machine Learning in the Real World
A selection of rapid fire presentations from the hottest new AI start ups, showcasing the latest advances in this fast moving field.