Adrian is Director for Pre-Sales Support in the SAS Global Technology Practice, with a focus on Big Data, High-Performance Analytics and Enterprise Architecture. Adrian looks at how organisations use data and analytics strategically, with a specific focus on optimizing the data and analytics architecture.
Much of the discussion about AI centres on what the algorithms can do, as well as the potential for change and/or disaster. But what about the team behind the algorithms? Few discussions have focused on this most essential group, and not just the modellers, but the data sources, the trainers,
Platforms are currently big news in analytics. There are, however, still questions about the platform capability required to support the analytics life cycle and customer understanding of the issues. 1. Getting value from platforms is NOT about technology When we talk to customers, it is clear that they are not
There is massive excitement — and some fear — about AI. The buzz is definitely building, as more and more people start talking about it. But although there is enthusiasm about the potential of AI and its building blocks, there is much less discussion about how organisations should start
Cognitive computing is effectively the development of ‘computer as brain’. Cognitive computing systems can handle complex, ambiguous situations, looking for ‘best’ rather than ‘right’ answers. In preparation for sessions at Analytics Experience in Rome, I caught up with Sue Feldman, co-founder of the Cognitive Computing Consortium, for a preview. How does cognitive
