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Life Sciences


Labelling and Data Management: it’s all about the bigger picture

Written by Romuald Braun in Life Sciences on 20/09/17


For some firms in life sciences, product labelling is treated as a distinct, manually-driven process. This is a legacy of an era when technology was trusted and reliable than it is now, and it’s also a major error, as it can leave an organisation vulnerable to risk, such as costly product recalls, and inefficiency.

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How Artificial Intelligence is impacting life sciences

Written by Elvis Paćelat in Life Sciences on 20/09/17


Artificial Intelligence (AI) is one of the most talked-about technologies of the last decade. It saw more deployment initially in other industries – telecoms and financial services (FS) were amongst the early adopters - but the past few years have seen a number of life sciences firms embrace AI and reap some of the benefits.

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Disrupt or be disrupted: Why the pressure is mounting for life sciences to take digital transformation seriously

Written by Elvis Paćelat in Life Sciences on 31/03/17


All life sciences organizations are under pressure to change. If the preventative healthcare and wellness trend doesn’t turn the industry upside down, it will be something else – from the need for more holistic remedies to the expectation of greater transparency.

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Reinventing data management, with R&D at the centre

Written by Steve Scribner in Life Sciences on 30/03/16


Every business, and often every department, has its own way of doing things. In the life sciences industry this is true of the way companies and individual business functions record and manage information about drugs, making it difficult to gain a clear line of sight across a product’s lifecycle and its performance in the market. This has implications for the business as well as public safety.

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