Disney Data & Analytics Conference

Data is at the center of everything your enterprise does. It informs your marketing and production, and underpins every customer and user experience. Argyle’s DATAx virtual event will help you use your data to its full potential while keeping it accessible and secure. From enhancing data governance to the latest thinking on information architecture, DATAx virtual will get you up to speed on trends, news and advancements to help your company turn data into revenue. Attend DATAx virtual on September 28, 2023 to learn how cutting-edge enterprises are using data-intensive technologies like AI and machine learning to delight customers and stay ahead of the competition. You’ll gain key insights to enhance your business’ data and analytics strategy.

PASS Data Community Summit is the go-to conference for data professionals to connect, share, and learn with peers and industry leaders. Summit happens in the Fall in Seattle, WA, and runs over 5 days, November 13-17. There are two days of Pre-Cons on Monday and Tuesday, and three days for the main conference Wednesday through Friday. Find out more about key timings for the week.

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.

The annual DataConnect Conference brings together industry leaders, technical experts and entrepreneurs to discuss the latest trends, advancements, technologies, and innovations in data, analytics, machine learning, and AI.