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”