Last week I attended the Tech-Conference of Amazon Web Services – AWS re:Invent 2017 in Las Vegas. It lasted five days, a period of time that is not always easy to take off from your daily work. Following are the most important pieces of content from my perspective in 7-10 min for reading.
* 10 Seconds Management Spoiler *
Serverless, Machine Learning, the Machine Learning Camera DeepLens, Alexa for Business and Kube as a managed service are the main highlights of this year’s re:Invent. By extending and making existing and established services such as EC2, S3, Glacier or DynamoDB more flexible, AWS helps customers to map many requirements directly in the managed service and reduce the need for workaround implementations. It will be fascinating and at times frightening, what will be possible in the future due to the combination of these powerful services.
(German version below)
In my last blog post, ‘Digital Transformation Is About More than Just IT,’ I wrote about a fortunate trend, whereby more and more companies are taking a more holistic approach to the digital transformation. We know that IT alone is not the solution to the challenges posed by the digital transformation. More and more companies are slowly realizing that the digital transformation affects not only the IT department but also all other areas of the company.
But training courses and consulting services that are currently being offered give a different impression. Discussions revolving around the digital transformation primarily address the challenges in today’s business world, and terms such as ‘agility’ and ‘new business models’ crop up as the important key terms. Well-known companies that were once successful are mentioned as examples of organizations that did not manage to get on the right path towards digitalization. The training courses and consulting services then frequently put forward new IT procedures and technologies – such as cloud computing, microservices, DevOps, and big data – as solutions to the challenges of our time. However, IT departments are often not trusted to successfully introduce such modern solutions.
Ab dem 25. Mai 2018 tritt die Neuregelung des Datenschutzrechtes in der Europäische Union GDPR (General Data Protection Regulation oder in Deutschland EU-Datenschutz-Grundverordnung) in Kraft. Diese enthält zahlreiche Änderungen sowie neue Regelungen und Unternehmen müssen sich damit auseinandersetzen um letztlich Risiken zu minimieren.
Wird dieses Thema vernachlässigt oder gar missachtet drohen Strafen von bis zu 4% des jährlichen Unternehmensumsatzes oder bis zu 20 Mio. EUR, je nachdem welcher Wert größer ist.
Möglicherweise geraten viele europäische aber auch im Ausland befindliche Unternehmen, welche in Handelsbeziehungen mit Europa stehen hier in größere Schwierigkeiten. Glaubt man aktuellen Umfragen, denkt etwa knapp die Hälfte der deutschen Unternehmen, dass sie teilweise oder gar nicht in der Lage sein werden, die neuen Anforderungen der EU bis zum Stichtag umzusetzen.
Cloud-Computing ist in den letzten Jahren zu einem der wichtigsten Themen in der IT geworden. Es hat die Phase des Hypes lange verlassen und kann zu Recht als eine etablierte Technologie bezeichnet werden, die viele Vorteile in sich vereinigt. So kann das Konzept, IT-Ressourcen nicht mehr dediziert in der eigenen Organisation vorzuhalten, sondern nach Nutzung zu bezahlen zu hohen Einsparungen, mehr Kostentransparenz und besserer Kalkulierbarkeit führen. In der Regel bieten diese extern hinzugezogenen Ressourcen auch den Vorteil, immer auf dem letzten Stand der Technik zu sein, womit eine begleitende Wartung wie in der konventionellen IT entfällt.
Introduction Big Data in the Life Science and Pharmaceutical Industry
A key driving factor in the life science and pharmaceutical industry is the possibility to handle large volumes of data in order to access, manage and analyze the data. To be able to gain business efficiency and a good performance, the drug development needs to take place in a best time to market relationship. Therefore, more completed clinical trials are necessary in a shortened timeframe. An acceleration in the drug development leads to an improved drug pipeline, less costs and faster product releases and therefore better profitability.
I’ve been in the Document Management System (DMS) / Enterprise Content Management System (ECMS) market for more than 20 years. Sometimes very focused on a specific aspect e.g. Technical Documentation, sometimes more general e.g. ECMS platform and sometimes with focus on an industry segment e.g. Life Science. I have seen a lot of vendors, products and technologies coming and going. The latest acquisition and certainly the biggest one was just a week ago. Hopefully, this will not reduce the power of innovation.
Preface: From January 2016 to July 2016, I wrote my master’s thesis at fme in Brunswick, Germany. In the following blog post I am summarizing my thesis and thank all these people who supported me. Especially, my advisor and the IT department.
Tobias Stein, September 2016
Exponential data growth rates make the management of content an enormous challenge for organizations. Terms like »information overload« and »content chaos« express the inefficient situation regarding content management on an enterprise-wide scale. Employees search for documents in different versions, languages and formats across various repositories and systems through the entire company. However, these documents contain important and decision-relevant information that are becoming a key business resource. Moreover, compliance with statutory regulations and technical requirements with respect to storing huge amounts of data are complicated.
Although both industries – Discrete Manufacturing and Process Manufacturing – are completely different, I see some similarities.
10 years ago, the only competitive threat for a traditional OEM came from another traditional OEM. All R&D Managers had an arrogant smile on the face when they heard about a small US company, which was entering the market with electric cars. Today this company – Tesla – is also an established player. But new competitors do appear on the horizon: Apple, Google, Uber and others. Companies with no knowledge about how to build, sell and maintain a car. Why is this possible?
A company’s change from solely being a product manufacturer to also becoming a service provider is a potential application of digital transformation. In order to provide services aimed at both individuals and target groups, companies need to collect user-, application-, and product-driven data from the real world as a basis, then submit this data to further analytic processing.
Companies can now bridge the gap between the real world and the digital world using the mechanisms and principles of the Internet of Things (IoT) or the Industrial Internet of Things (IIoT or Industry 4.0). Standardized device networking and individual opportunities for interaction are now available for a wide range of uses – they open up new possibilities and expand fields of business.
Word has gotten around that big data is a new and promising IT discipline. There are many examples of successful big data applications. They include connected cars, mobile adversing and security analytics just to name a few. Not much is heard from the life science industry. Clearly the lines between medical devices and lifestyle products such as fitness trackers are gradually blurring.
Bitkom surveyed 102 companies from the pharmaceuticals sector about the digital transformation in 2015. According to this survey, 97 per cent of pharmaceutical companies believe that lifestyle products are going to make a significant contribution to operating results in the future. These companies would therefore hold an important component of the new value chain: the sensor that records a variety of vital functions.