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In the news | 23rd February 2024

Why it is vital to help IT and scientists collaborate

Businesses are encouraging collaboration among diverse, cross-functional teams to address data management challenges.
Read this Bio-IT World commentary where Laura Swift, Customer Success Manager at IDBS, explains how cross-functional teams play a crucial role in enabling companies to effectively manage large datasets and unlock the power of AI.
Read more in this article, originally published in Bio-IT. Shared here by permission.

In the race to unlock the power of artificial intelligence (AI) for business, it is tempting to focus on the need to strategically leverage data—indeed, this is a message that I reinforce constantly when onboarding new clients. But there’s a step that must happen first. It sounds obvious but is often overlooked: to leverage data well, companies first have to better leverage their teams.

With the swift growth in AI, the way that data is captured is of the utmost importance. The requirement for scientists to capture data electronically is not new. But for data to be useful for AI, it must be well contextualized and easily accessible across systems and processes. Those added hurdles mean more technical expertise and collaboration is needed.

Read the full article on the Bio-IT website.

About the author

Laura SwiftLaura Swift is Customer Success Manager at IDBS. Laura has spent the last 16 years in the life sciences industry focusing on software solutions for scientists. Currently, Laura focuses on delivering desired outcomes to customers who are driving to bring life-saving drugs to market faster.