etc Venues 133 Houndsditch Liverpool St, London, EC3 7BX
Bridging the gap between the latest technological research advancements and real-world applications in business and society
CONFIRMED SPEAKERS INCLUDE
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
NEW THIS YEAR
- Multiple tracks to encourage cross-industry learnings & collaboration
- Deep Dive sessions to facilitate interactive discussions, practical workshops, & technical labs
- Facilitated networking opportunities to make new connections through shared exhibitor spaces and a Networking Reception
- Q&A with speakers to ask them your questions following each session
- On-Demand Access post-event to re-watch any sessions you missed
Topics we cover
LSTM Networks
Neural Networks
Machine Learning
Deep Learning Algorithms
Computing Systems
NLP
Computer Vision
Sentiment Analysis
Speech Recognition
Image Retrieval
Autonomous Vehicles
Robotics
Reinforcement Learning
Black Box Problem
Data Efficiency
Deep Learning Use Case
Deep Reinforcement Learning
Feature Extraction
Meta-Learning
Training from Scratch
Back Propagation
Learning Rate Decay
WHY ATTEND
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.
Extraordinary Speakers
Discover advances in deep learning and smart artificial intelligence from the world's leading innovators. Learn from the industry experts in data manipulation, novel training techniques, and new learning environments. Explore how deep learning will impact industry and society through diverse applications.
Discover Emerging Trends
The summit will showcase the opportunities of advancing trends in deep 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 with 400+ industry innovators sharing best practices to advance the smart artificial intelligence revolution.
Who Should Attend
- Applied Researcher
- CTO
- Data Scientists
- Data Engineers
- Deep Learning Engineer
- Deep Learning Scientist
- Developers
- Entrepreneurs
- Machine Learning Scientists
- Research Scientists
Join the discussion
- 70+ speakers
- Leading technologists & innovators
- Group brainstorming sessions
- Interactive workshops
- 8+ hours of networking
- Access to filmed presentations & slides
- Discover technology shaping the future
Downloads
Coming Soon!
Confirmed Attendees
WHAT PEOPLE SAY ABOUT RE•WORK
Event Organiser /
Katie Pollitt
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!
Confirmed Partners
Sama
Sama provides accurate data for ambitious AI. The company’s high quality training data platform is trusted by the world’s most ambitious organizations to develop accurate machine learning models. Used by over 25% of Fortune 50 companies.
Visit websiteCognigy
Cognigy, a market leader in Conversational AI, powers up enterprise contact centers to exceed customer expectations, improve agent satisfaction, and rapidly respond to market changes. The Cognigy.AI platform enables next-generation customer service with a suite of solutions, including Conversational IVR, Smart Self-Service, and Agent + Assist. In addition, Cognigy.AI gives the enterprise all it needs to deliver fully personalized multilingual services available on all voice and chat channels 24x7.
For more information and to book a demo visit: www.cognigy.com
Valohai
Models are temporary; pipelines are forever. Valohai is the only MLOps platform that automates everything from data extraction to model deployment.
The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in new data, train a model, and deploy to production automatically. Everything trained on Valohai is automatically stored and versioned, so every model is always reproducible, and work is never lost.
The platform is technology agnostic and ready for any cloud or on-premise setup, so even the strictest security requirements can be met.
LXT
LXT is an emerging leader in AI training data to power intelligent technology for global organizations. In partnership with an international network of contributors, LXT collects and annotates data across multiple modalities with the speed, scale and agility required by the enterprise. Our global expertise spans more than 115 countries and over 750 language locales.
Visit websiteV7
V7 is the leading training data platform for computer vision, powering the next generation of AI applications for some of the world's largest companies.
Built by ML engineers for ML engineers, with V7, ML teams can manage, train, and deploy computer vision models at speed and scale.
V7's advanced annotation suite allows for easy annotation of video, image, and text data to solve any CV task from image classification to instance segmentation, object tracking, and more. Our Auto Annotate feature empowers annotators to create pixel-perfect labels in one click - instantly and without prior training.
Dataset and Workflow management enables full visibility and control for teams to manage AI data in a single ML-Ops platform. Managed labeling services, a powerful integrations suite, and a robust SDK ensures V7 slots seamlessly into your existing setup to build high-quality, accurate datasets and successful ML pipelines up to 10x faster.
Media Partners & Press
KDnuggets
KDnuggets™ is a leading site on AI, Analytics, Big Data, Data Mining, Data Science, and Machine LearningKDnuggets is currently reaching over 500,000 unique monthly visitors, and over 260,000 subscribers via email, Twitter, LinkedIn, Facebook, feedly/RSS, and Google+.
Visit websiteUnite.AI
Unite AI offers detailed analysis and news on the latest advancements in machine learning and AI technology.
Visit websiteCIO Review
Published in Fremont, California, CIOReview (www.cioreview.com) is one of the leading print magazines in the US. It is the knowledge platform where C-suite executives deliberate on critical market challenges and current technological trends across industries. We are a unique magazine because all of our contributors are senior executives from the industry.
Visit websiteCIO Applications
CIO Applications (www.cioapplications.com) magazine stands out with its unique approach to learning from industry leaders offering professionals the most comprehensive collection of technology trends. CIO Applications is enabling the businesses to move a step ahead and guiding them towards adopting the best in technology that can assist them in providing seamless and convenient solutions for enhanced customer experience.
Visit websiteAI Time Journal
We explore how Artificial Intelligence and Exponential Technologies bring opportunities for people, organizations, and societies to increase their wealth and health.
Our audience is anyone who wants to improve in their career, their business, their investments; who wants to live a healthier, more productive, and fulfilling life; who wants to simplify and improve the education systems of their communities, or who simply wants to understand how Exponential Technologies are changing the world.
We publish articles, podcast interviews, and ebooks with insights from industry leaders and experts, and use cases of exponential technologies across multiple fields, including finance, healthcare, and education.
Visit websiteDatafloq
Datafloq is the one-stop-shop around Big Data. Our vision is Connecting Data and People and we aim to achieve that by spurring the understanding, acceptance and application of Big Data in order to drive innovation and economic growth.
Visit websiteDeep Learning Partnership
Deep Learning Partnership are an AI consulting company. We design and implement full stack AI solutions for our enterprise and startup clients across all business domains. Our Data Scientists and Developers deliver algorithm design and implementation along with systems integration and training.
Visit website