| ENABLING A CULTURE OF SELF-SERVICE ANALYTICS | | | | | | As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using ... | | |
| EXTENDING KUBERNETES TO THE DATA LAYER | | | | | | More and more enterprises are deploying applications in containers on Kubernetes. But until now, the data layer hasn’t received as much attention. Yet an automation framework like Kubernetes has the potential for easing operational challenges over thousands of database instances, enabling enterprise... | | |
| BUSINESS INTELLIGENCE MEETS DATA SCIENCE CHALLENGES AND OPPORTUNITIES | | | | | | Business intelligence and data science are important sub-areas of the increasingly important and extensive topic "Data & Analytics". Both areas have their own culture, tools, procedures and histories, their technical terms and methods. Despite the diversity, there is also a large inter... | | |
| DEEP LEARNING SUMMIT
| | | | | | Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies ... | | |