Creating an architecture to support AI is about creating a modern platform for advanced analytics, and means being able to support all steps of the analytics lifecycle. Requirements An architecture for advanced analytics/artificial intelligence need to cover three main domains, data, discovery and deployment. Data Data is the foundation of
From June 6 to 9 the first ever ‘Dutch Data Science Week’ took place in the Netherlands. The week consisted of 4 days in which 28 events took place in 6 different locations. During the week people could attend classes ranging from beginner to advanced levels, visit meetups, participate in
There is a huge amount of buzz and excitement about at the moment, all centering on the potential for artificial intelligence (AI) to transform marketing. For example, the EIU reports that executives were on board. Three quarters of those surveyed, were reported to be expecting AI to be used in their
Real-time customer experience is a vital driver of growth. Acting in real-time, armed with the most up-to-date information about your customer, can hugely improve customer experience. Many of SAS’s customers have generated significant competitive advantage from trying to align closer with the real-life experiences of their customers. But how many
Where can you compare your skills with those of other experts, particularly data scientists? Or have the opportunity to program informally, just because it's fun? Hackathons. I talked to Fabian Buchert, himself a data scientist, about his experiences at the last Data4good Hackathon, on 6 May in Heidelberg on the
Diversity is a big topic in the press at the moment. In July, the UK’s BBC published data about pay, exposing a huge gender pay gap. But the question of diversity goes far beyond a simple pay gap. I caught up with Josefin Rosén to discuss how organizations can harness
We hear a lot about how smart machine learning-based tools and platforms are going to change the world of work. Some commentators, like Stephen Hawking, have made apocalyptic prophecies about how the world as we know it will end as the machines take over, and there are no more jobs.
Application programming interfaces, otherwise known as APIs, are set to radically change the face of analytics. These little bits of code are working behind the scenes, hidden treasures that allow two pieces of code to talk to each other. This means that developers can borrow functionality from other apps.
“Anyone who wants to be 100% sure, will be 100% late.” I heard this sentence recently at the IoT Forum in Munich. It is a very good summary of the feeling that is emerging in the debate on Industry 4.0. The buzzword battles of the past 48 months seem to
A spectre is haunting economy – the spectre of digitization. All the powers of old economy have entered into a holy alliance to exercise this spectre. But other than the communism (obviously the first two sentences are stolen from the Communist Manifesto by Marx and Engels from 1848) – this
