Agile Engineering Summit The new CE Summit
15 – 17 October
The event will deliver in-depth technical content targeted at architects, developers, testers, integrators and managers by offering lectures and hands-on labs to expand your knowledge and expertise on the latest technologies, trends, tips and techniques.
6 key reasons to attend
Upgrade your skills. Training is the key to success: Get up to speed on the latest technologies, trends, tips and techniques – direct from industry leaders.
Select in-depth technical sessions Learn about the latest technologies for Continuous Engineering (CE) , IoT, Digital Twins and more.
Gain varied practical experience and get involved Test-drive the latest technologies through hands-on labs. Meet with IBM partners and engineering associations to discuss the latest trends in the exhibition hall and labs.
Take advantage of networking opportunities Exchange ideas and interact with colleagues, peers, technology gurus, executives and experts during the welcome reception, happy hours, networking breaks, “Birds of a Feather” gatherings and exhibitions.
Understand future impacts on your business Learn how IBM technologies can help you address new engineering complexities associated with connected products, IoT ecosystems, and service-centric business models.
Capitalize on Lean/Agile focus in large regulated industries
Change and Configuration Management Improving collaboration and configuration management across the development lifecycle
Deployment Best Practices On-Premises and Cloud Patterns, guidance, best practices, and customer case studies from successful deployments of IoT Continuous Engineering Solutions: on-premises, on cloud, using SaaS or a hybrid combination
Agile Development and Engineering Best Practices Best practices, case studies, challenges and solutions related to applying lean and agile principles in the planning, development and delivery of connected products and applications
Model Based Engineering Best practices, new implementations and advances in MBSE and MBE and developing model based digital twins/threads, for Systems and Software development
Quality Management Best practices and advances in verification and validation of connected products and quality assurance of the Internet of Things
Requirements Management Best practices and advances in Requirements Management for Systems and Software development
Artificial Intelligence and Engineering Applying AI and predictive analytics to system engineering processes
Digital Twin Innovative solutions and current practices involving the use of Digital Modeling & Digital Thread for new value creation
Reporting Best practices and advances in Reporting solutions for Systems and Software development