2022 4th International Workshop on Big Data and Computing(WBDC 2022)

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.

Data is the crown jewels of an organization. It empowers companies to make informed business decisions, improve operations, reduce costs and increase revenue. Organizations are increasingly adopting DataOps to get full visibility and control of their data pipeline, boost efficiency and quality of data, fuel digital transformation initiatives and maximize business value. At DataOps Day, we’ll take a deep dive into the world of data and DataOps. Join us to hear from data and business leaders who have adopted DataOps to achieve their goals for quality, security and speed.

Too much data, too little return? At IDC, we know that data can help organizations develop agility, resilience and innovation - if they can marshal it correctly. A rising number of European organizations know this, too, and they focus on leveraging new data technologies, creating a data-driven culture and continuously learning how to improve.

Industry leaders and practitioners show how data is shaping their respective industries and sub-industries – with the goal of sharing knowledge and applications that can be transferred cross-industry. The program will feature industry-specific data experts speaking to innovative applications and models being leveraged by their individual industries, with the goal of sharing transferable knowledge and techniques that data scientists and executives can apply in their own respective industries.