AI Assistant Summit schedule

Reinforcement learning is the science of how to learn to make decisions through interaction. Deep learning is the science of learning representations, mappings, and functions from data. The intersection of these two fields has great potential, because deep reinforcement learning algorithms give us a means to learn behaviour through interaction with complex problems, by using general learning algorithms rather than having to rely on extensive domain knowledge. In my talk, I will discuss why I'm excited about this research field, I will talk about open challenges, and discuss some recent successes in applying these algorithms to interesting problems.

In early 2019, the High-Level Expert Group on AI presented a set of ethics guideliens for trustworthy AI. What do these mean and how can you apply best practice in your organisation? Join us for a 'town-hall' style session where attendees will have the opportunity to ask experts their questions and practical concerns, and to offer some key takeaways and best practice for attendees to apply in their own work.

Session takeaways: 1) What is emerging in the field? 2) What industry do the next generation believe will be most impacted by AI over the coming years? 3) What inspired these rising stars to explore STEM and what is the role of all stakeholders in encouraging young people to do the same?

We will hear from Ryan den Rooijen, Global Director of Data Services at Dyson on their digital transformation journey and how they are driving change internally.

BehindTheScenes - Salesforce Voice Assistant

Using Deep Learning technology, we intend to transform unstructured data like voice and text to more structured data which empowers users to execute actions. This is a huge problem statement in itself even if one company was to build an assistant to interact with their organization, but it is even more challenging to build this as a platform while being agnostic of underlying details.

Level of expertise to benefit from the session: It is appreciated for the audience to have some amount of technical knowledge as it would entail different parts required to build such an assistant.

Vishal is a Member of Technical Staff at Salesforce, where he works on Einstein Voice Assistant, bringing the best in class NLP capabilities from Salesforce AI Research to production. Prior to Salesforce, he has contributed to research evaluating impact of lawyers voice in US Supreme Court case outcomes. He has also worked on predicting optimal distribution of bikes in New York City. He holds a Masters in Computer Science from New York University's Courant Institute of Mathematical Sciences where he spent his time studying Natural Language Processing, Computer Vision and more.

Session takeaways: 1) Why is data preparation important? 2) Where should you gather the data; 3) How do you handle missing data

This session is for everyone.

Session takeaways: 1) What are the short, medium and long-term challenges in investing in AI to solve challenges in business & society? 2) What are the main success factors for AI startups? 3) What are the challenges from a VC perspective?

The RE•ACT series gives you the chance to have your say and voice your thoughts on the future of AI and how together we can solve challenges on this planet. Look out for the RE•ACT boards at the event and get involved in the polls and discussions on the event app. We'll come together at RE•ACT to dive deep into the impact of AI on the environment, education, diversity, and more. What partnerships need to be formed to move this problem forwards? What is the role of industry and academia to solve this challenge in question? This session is open to all and you are more than welcome to share as much or as little as you choose.