AWS Transformation Day in Munich

11.07.2019

The Transformation Day of Amazon Web Services (AWS) took place on July 2 in the Triebwerk Industriehalle in Munich with a good 1,000 participants. More than 30 lectures and workshops addressed numerous topics related to digital transformation, while a large number of partners were available for direct discussion.

Plenary sessionFor the fact that artificial intelligence is still at the very beginning of its implementation in business and society, the rush was enormous in the Triebwerk Industriehalle in the west of Munich (photo Sendler). The visitor had the impression that almost all sectors of the economy, from banks and insurance companies to consulting firms and the manufacturing industry, had already started projects or were about to do so.

Managing Director DACH Klaus BürgThe Managing Director DACH of AWS, Klaus Bürg (photo Sendler), was able to quantify the success: 80% of the 30 DAX companies work with AWS. According to a study by KPMG, 54% of customers expect more security in the cloud than with solutions on their own servers. More than 35,000 partners have joined the AWS Partner Network (APN) since 2016, more than 60% of them headquartered outside the USA. AWS revenue in the first quarter of 2019 was up 41% year on year. Whether Gartner or ISG, AWS remains at the top of the most important quadrant in 2019.

Mirjam McLemoreMirjam McLemore (photo Sendler), Director of Corporate Strategy at AWS, used her own experience as CIO at Coca Cola using AWS-KI in the keynote speech to demonstrate how reality is forcing the use of such new solutions. Agility is not an option, but a prerequisite for successful transformation. From their point of view, change management is becoming the most important element of management at all.

Constantin GonzalezCustomer and partner presentations were supplemented by competent explanations from AWS specialists such as Principal Solutions Architects Constantin Gonzalez (photo Sendler) and Mariano Kamp. They vividly demonstrated what a company or institution must do to achieve valuable improvements in its processes and services through the use of machine learning. Before using managed services, i.e. ready-made microservices for individual tasks - of which AWS now provides more than 165 - there is always the exact analysis of the actual task in order to reach a model that then makes automatic predictions and decisions possible based upon data.

The manufacturing industry still plays a comparatively small role among users. Although not only are highly profitable improvements to be expected here, but product-based services in industrial clouds are likely to act as a fire accelerator in the coming years. In turbulent and uncertain times, the courage to change is needed more than ever.

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