Artificial Intelligence (AI) has been defined as the use of intelligent machines to work and react like humans. The technology is familiar to most of us through everyday things like voice and face recognition devices. Much has also been written about its potential to lower costs and improve outcomes in healthcare with it already being
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McKinsey and others suggest that up to two thirds of new pharma brands fail to reach their first year’s targets and about half of those that do meet their goals fail to do so subsequently. These are damning statistics, although consumer launches are no better. Relative failings in the product, pricing or marketing may all
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No one in their right mind would suggest that having a mountain of data and machine intelligence to investigate it for patterns and trends isn’t valuable. The applications are seen in every field of activity from traffic management to healthcare. For those of us engaged in communications, what is often referred to as data driven
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