Learn from experts at Netflix, Facebook, Tesla, DeepMind & more
January will see the sixteenth global
Deep Learning Summit
and the fifth global
AI Assistant Summit
joined by the first ever
Deep Learning for Enterprise Summit
. This event has been expanded due to popular demand, and will bring together over 1000 attendees to explore the latest advancements and cutting edge AI research.
Attendees are welcome to attend sessions and workshops across all tracks, providing a diverse agenda to explore.
Confirmed speakers include: Rushin Shah, Facebook, Yves Raimond, Netflix, Daphne Koller, Calico, Peter Carr,
Disney Research, Andrej Karpathy, Tesla, Tejas Kulkarni, DeepMind, Amy Gershkoff, Ancestry, and many more.
We are pleased to be able to offer an exclusive 20% discount off Early Bird passes when you register using the code KDNUGGETS.
Recent advancements in Deep Learning are creating a pathway for new technologies, and the impact of AI is becoming ever more prevalent.
Ian Goodfellow from Google Brain who will be presenting at the Summit, explained that 'Machine learning is always held back by limitations in the amount of computation we can use.’ Ian will explain how GoogleBrain are overcoming this.
RE-WORK bring together industry experts, CEOs, Data Scientists, Startups, & Researchers working in AI from all levels of technical knowledge. Earlier this year Jacob Miller, Lead Programmer from Circle Computer Resources who attended the summit said:
"I'm new to deep learning. Just being able to interact with other attendees and finding my place in deep learning was highly valuable."
Track 2: AI Assistant Summit
As AI improves and models become more human-like, it’s easy to forget that we’re conversing with machines. Whilst these interactions have improved hugely since their conception there are still obstacles that prevent flawless user
Autodesk, who will present at the event, explained their current goal:
"We aim to provide seamless blend of digital and human support across all Autodesk help properties and will discuss how our new model, AVA, learns from chat conversations with customers and provides personalized interactions with customers to meet their needs more efficiently using machine learning and data analysis."
Track 3: Deep Learning for Enterprise Summit
As deep learning is becoming more accessible, smaller companies are increasingly keen to be a part of the growing landscape. On this track we will hear about the practical applications of deep learning to your businesses and reveal new insights to optimize efficiency.
Many organizations are rushing to hire ML experts without laying the proper foundation to ensure their success, and Amy Gershkoff, Chief Data Officer from Ancestry will share her research, and unpack the question ‘Is your organization ready for ML?’ She will discuss how organizations can prepare for success, as well as ‘how candidates can diagnose whether the organization is truly ready for ML.’