IT Strategy and Technology Innovation for the Enterprise Conference
Cloud-Native Computing, Microservice/Serverless Architectures, Machine Learning, Blockchain and Engineering Leadership
Enterprises are collections of successful, collaborating business units with a common goal of profitability. To maximize revenue and profitability in today’s modern business environment, we must accept real-time changeability and rapid adaptability as the norm. Enterprises must cope with changing business models using modern Cloud-Native infrastructure with Microservices and Serverless platforms, Computing at the Edge and hybrid Data center Architectures. They must be able to search huge volumes of data for patterns and customer insights under strict privacy regulations. In addition, all modern organizations need expertise to foster a work environment of inspiring and motivating team-oriented individuals to unlock their skills and potential using these modern technology tools and techniques.
Many of the world’s biggest and most prosperous enterprises such as Google, Amazon, Alibaba, Twitter, and Microsoft understand today’s enterprise Architecture must be modeled as a large adaptive ecosystem that uses modern IT tools, techniques and strategies. This approach requires a thorough understanding of the latest trends in Cloud-Native Computing, modern Microservices/Serverless Architectures, Machine Learning/Artificial Intelligence and fostering a successful engineering culture. Every informed technology executive, technical manager, technology strategist and architect should be aware of these latest trends.
This Conference brings a collection of international experts to explore the cutting edge of each of these topics in detail and to discuss how enterprises can rapidly adapt and innovate in today’s modern environment.
- Current Trends in Cloud-Native Computing
- Microservices and Functions-as-a-Service (FaaS)
- Enterprise Migration to the Cloud
- Effective Application of Serverless Computing
- Microservices Management
- Understanding the Capabilities of Machine Learning
- Best Practices with Machine Learning in the Enterprise
- Computing at the Edge
- Blockchain Applications for the Enterprise
- Engineering Management and Leadership Skills
- Trends for Beyond 2020
- Many Use Cases