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Which skills do you need in your team? What are the costs for running the service? How can you optimize them? These are three key questions when setting-up and running an AI and analytics service.
It is a long way from having a working machine learning model on a local laptop to having a full-fledged fashion store with a mobile app incorporating this model
One term – data analytics – having two meanings – AI and SSBI – this is the classic setup for misunderstandings, failing project pitches, and failed projects. But what exactly are the differences between AI and SSBI? And are they complementing or competing concepts?
AI tech is helping advance nuclear fusion – and is being pitched as the answer to the problems facing ITER, the world's largest magnetic confinement plasma physics experiment
Substituting for the live event, ‘The Greatest Championships’ will use AI create a modern experience for some of the most famous matches in Wimbledon history
To unlock the power and growth potential of AI at the edge in IoT devices, software providers must work across the AI ecosystem to promote the implementation of AI in silicon
When augmented with innovations in time series analysis, pattern recognition in fundamental enterprise use cases like fraud detection, security analytics, and churn reduction can be enhanced to deliver more detailed results
The AI White Paper has bold aims: to outline the EU’s approach to creating an ecosystem of trust and excellence for AI, signalling the start of a process that is anticipated to result in a regulatory regime
There are countless more examples of revolutionary changes in the gaming industry that have happened just over the past two decades. All of them point to the same conclusion: as technology grows and evolves, the gaming industry evolves with it
Open-source frameworks have popped up to address all of the above applications, and now it can be confusing to decide on which library to use for which project