Bridging the gap between the latest technological advancements and real world applications in business and society
CONFIRMED SPEAKERS INCLUDE
Machine Learning & Data Engineer
Building Your Deep Learning Platforms
Mikael is a Research scientist/Machine learning engineer with a strong background in scientific programming, parallel computing, data science and DevOps.
Applied AI and Data Science Researcher
KTH Royal Institute of Technology
Smriti is an Applied AI & Data Science Researcher at the KTH Royal Institute of Technology. She is a Mental Health Advocate and believes in the power of AI to fight Climate Change.
Experiences from organizations’ AI-Center initiatives and approaches to Multi-cloud AI/ML
Organizations accelerate adoption of AI/ML in many different ways. Forming competence centers and acceleration initiatives comes with pros and cons. RISE is applying AI/ML across its broad range of research areas, e.g. chemistry, forests, batteries, language, and the public sector. We give examples, learnings, and some best practices from project, tooling, platform, data, infrastructure, competence, and cultural perspectives. A particular complexity is that many organizations use multiple cloud providers. The AI/ML toolboxes at the major cloud providers are evolving rapidly and have differences and similarities. Also on the infrastructure layer, there is a rapid evolution of hardware, e.g. GPU accelerators, with varying offerings across the cloud providers. What can we do to compare functionality, cost and energy consumption?
Prior to his work as a Senior Researcher at RISE Sweden, prior to this he took various roles at Ericsson, including Head of Global AI/ML platforms and CTO XaaS
Lead AI Engineer
Conversational AI for Customer Services.
Anna is a specialist in conversational AI, currently working with Electrolux building a new platform for Customer Services.
Innovation Manager of AI
Fundamentals of Responsible AI Models
We all know that technology amplifies the existing entanglement of social constructions, relations, and practices. If the perspectives of marginalised users are not considered in AI development, implicit biases and damaging practices will persist. But how do we implement responsible models in practice? In this session, let's talk about the fundamentals of responsible AI at all stages of development process, from data collection to model performance monitoring.
Irina has 15+ years of experience as a data scientist and policy expert and is a Professional coach, director, and mentor. In addition, she is a Professional speaker, presenter, and workshop facilitator with a PhD and a track of publications in political economy, investment analysis, and international relations.
She is proud to be an experienced manager of agile, multicultural teams
Lead Data Scientist - AI
NEW THIS YEAR
Hear from Expert Speakers on recent, relevant developments and applications of deep learning & machine learning across various industries, and ask them your questions in live Q&A's
Connect with Attendees during the summit and build new collaborations through our networking sessions
Tailor Your Experience by creating personalised schedules, keeping up to date on any news and connecting with others before and after the event in the Event App
Access Additional Workshops by heading into the breakout sessions running throughout the 2-days, check out the agendas to decide where you will be spending your time
Rewatch Presentation Recordings on Demand post-event to catch up on any sessions you missed. Upgrade to a Plus Pass to receive recordings from both tracks!
Topics we cover
Black Box Problem
Deep Learning Use Cases
Deep Learning Algorithms
Deep Neural Networks
Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.
Discover how advances in AI & machine learning tools and techniques are transforming regulation and regtech from the world’s leading innovators across industry, academia and regulatory bodies. Speakers will share insights into recent technical breakthroughs and cutting-edge applications of AI in regtech including compliance, onboarding, market surveillance & fraud detection.
Discover Emerging Trends
The summit will showcase the opportunities of advancing trends in deep learning and machine learning and their practical, real-life impact. Will smart artificial intelligence finally rival human intelligence? Learn the latest technological advancements & industry trends from a global line-up of experts.
Expand Your Network
A unique opportunity to interact with business leaders, influential technologists, data scientists & entrepreneurs leading the deep learning revolution. Learn from & connect leading industry innovators sharing best practices to advance the development and application of technology.
Who Should Attend
- Applied Researcher
- Data Scientists
- Data Engineers
- Deep Learning Engineer
- Deep Learning Scientist
- Machine Learning Scientists
- Research Scientists
Join the discussion
- 30+ speakers
- Leading researchers, data scientists & innovators
- Keynote Presentations & Panel Sessions
- Discussions + Speaker Q&A
- Access to filmed presentations & slides
- Unlimited networking & connections
- Discover technology shaping the future
Download the brochure below for further details on the event.
ANML- Learning to Continually Learn
Secure Deep Reinforcement Learning
Interview on AI Ethics & Bias with ML Expert
WHAT PEOPLE SAY ABOUT RE•WORK
Event Organiser /
Head of Events
Our events are all carefully created from scratch. The whole process from research to post-production is crafted by our team, so we are always available to assist with any queries! We look forward to meeting you at the event!