Data Science Salon

The annual Data Architecture Online event will cover key strategies and technologies you need to know in order to build and manage a modern Data Architecture. Tap into the combined expertise of several industry-leading professionals and connect with hundreds of data peers during this day of live, webinar-style sessions. Registration is free and gives you access to the sessions presented throughout the day, the live Q&A with the speakers, and all recorded presentations and materials.

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.

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.

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.