Deep Learning World

Deep Learning World
Deep Learning World is the premier conference covering the commercial deployment of deep learning. The event’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods. As part of Machine Learning Week, Deep Learning World will be held alongside five Predictive Analytics World conferences: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0. and PAW Climate. This conference covers generative AI – including large language models like ChatGPT and image generators like DALL-E 2. Generative AI is powered by deep learning.  As marked on the conference agenda, several of this year’s sessions – and one workshop – pertain to generative AI.

Spotlight


OTHER PAST CONFERENCES

4th Annual Big Data & Analytics West Summit

November 14-15, 2023 | Canada

Join the 4th Annual Big Data & Analytics West Summit this November! Network and collaborate with leading data experts from a wide variety of industry sectors across Western Canada. Secure your spot today and: Cultivate an innovative data culture and scale out holistic data accessibility throughout your company. Harness the latest data governance strategies and create an advanced framework to keep your data secure. Transform your organization’s approach to storage strategies with data lakes to achieve rapid processing. Optimize your business insights for improved decision-making. Monetize your data to maximize your ROI. Leave with best practices from 40+ big data executives. Get your ticket to join Western Canada’s leading organizations, including Netflix, Digital Commerce Bank, Rogers Sports and Media, Coast Capital Savings, HOOPP, Finning, Apotex, City of Red Deer, and many more!

11th Annual Data Analytics for Healthcare Summit

December 6-7, 2023 | Canada

The 11th Annual Data Analytics for Healthcare Summit returns to Toronto in 2023 with data and technology experts from Canada’s top healthcare organizations. Secure your spot today and: Hear from industry experts on the latest use cases, both business and clinical, providing you with the ideas and tools needed to apply to your own organization. Discover the latest innovative technologies to transform your organization’s data-driven strategy. Establish valuable partnerships for collaboration and data knowledge sharing to futureproof your organization. Leave with best practices from 30+senior healthcare data executives.

Data Universe 2024

April 10-11, 2024 | USA

On April 10-11, 2024, we will be hosting a first of its kind comprehensive data, analytics, ML, and AI event in New York City at the North Javits Center. This is more than a conference; it’s a grand stage to stimulate big ideas, foster collaborative thinking, and chart your course for success in 2024 and beyond. Data Universe brings together 250+ global industry pioneers and 100+ sponsors and exhibitors, covering every aspect of business transformation and cutting-edge technology. Connect with ecosystem partners, gain valuable insights, and leverage expertise that could be the catalyst for your growth. This is a unique opportunity to participate in a brand-agnostic, internationally-minded data and AI event. Spread the word and encourage those in your network who would benefit from this experience. Please note, registration is mandatory to secure your place at Data Universe.

SQL Server Live!

November 12-17, 2023 | USA

At SQL Server Live!, we want to help DBAs, analytics experts, systems administrators, and developers like you do more with your SQL Server and Microsoft/Azure Data Platform investments. We want to help you improve performance, get insights from your data, step up security, and take advantage of new features across the platform. We want you to master reporting, BI, data integration, and developer tools and techniques. We will show attendees how to adopt new techniques, improve old approaches, explore and visualize their data, modernize SQL Server infrastructure and weigh its cloud migration. We teach and demonstrate how to integrate cloud-based data services, run SQL Server technology in the cloud, use Power BI and Analysis Services, and plan for SQL Server recovery and availability.