Soon 2019 is over and a new decade with new IT innovations will start again. For simple effective problem solving learning from the past is crucial. What worked well and why? What great promising IT technology did not meet the expectations promised?Continue reading “The end of a decade: Breathtaking Open IT innovations”
I am a fan of continuous learning. So if possible I go to meetups, conferences, seminars and open space meetings to listen and learn of peers in the digital space. So I went on an evening in September 2019 towards a talk regarding SOLID programming principles. From the very well organized meetup this evening by the company Working Spirit I left with some hard questions and some observations.Continue reading “Rise and fall of SOLID programming principles”
Maybe you have noticed it. Privacy is an issue. A bit strange since there are only 6 days left until the new EU General Data Protection Regulation (GDPR) will become fully enforceable throughout the European Union.
So before end of May 2018 all organizations that process data of EU citizens must comply with this General Data Protection Regulation. Determining how to design and improve your systems to meet the GDPR is not straightforward. Since real objective information on digital trends is always hard to find a common perception is that blockchain technology is an easy solution for solving privacy challenges. Continue reading “Blockchain and privacy”
Maybe you have noticed it. Privacy is an issue. A bit strange since there are only 7 days left until the new EU General Data Protection Regulation (GDPR) will become fully enforceable throughout the European Union.
So before end of May 2018 all organizations that process data of EU citizens must comply with this General Data Protection Regulation. Determining how to design and improve your systems to meet the GDPR is not straightforward. If your are thinking of using new machine learning technologies you could face now an extra challenge. Continue reading “The GDPR impact on machine learning”
Architecture is a minefield. And creating a good architecture for new innovative machine learning systems and applications is an unpaved road. Architecture is not by definition high level and sometimes relevant details are of the utmost importance. But getting details of the inner working on the implementation level of machine learning algorithms can be very hard. So a reference architecture on machine learning should help you in several ways. Continue reading “Machine learning reference architecture”
Everyone wants to create smart solutions. You want a smart home, smart city and maybe even a smart government. I never meet people who want to create stupid software. The use of software should be idiot proof, but making things really simple to solve a complex problem is very hard.
Machine learning enables everyone to create smart solutions for very complex problems. At least that is a promise claimed by many commercial vendors selling you Artificial Intelligence (AI) or Machine Learning (ML) driven solutions. But getting the essence of machine learning means you must reset your brain. Continue reading “Creating stupid software”
When you are trying to solve an existing problem differently you may call it innovation. Yes a bloated term but still sexy when it comes to announcing new technology products. When you want your company to bring something new on the table you should have some kind of a strategy. Scenario thinking helps. Continue reading “Simple innovation scenarios”
I faced a problem. I think a complex problem since it involved: people, openness and IT. So an ideal mix for testing tools suited for complex problem solving. A simple description of the problem is:
How to get more collaborators for working on the next version of the ‘Open Reference Architecture for Security and Privacy Reference Architecture’ publication? Continue reading “The next version: The perfect frictionless writing collaboration project?”
You should be very happy! You are living in a time of accelerating changes happening within the business IT industry. Businesses innovate faster using IT innovations. Faster innovation cycles are enabled by innovations in software, hardware and business science. Continue reading “Free and Open Business IT Innovation: An overview of tangible IT trends for 2017”
Architecture is a minefield. Architecture is not by definition high level and sometimes relevant details are of the utmost importance. It is not strange that the added value of architecture and architects within large companies and projects is under heavy pressure due to architecture failures at large and the emergence of agile approaches to solve business IT problems. Continue reading “Open Architectures do not work: The need for real open Architectures”