The pandemic has accelerated the onset of new technologies across industries. With artificial intelligence (AI) expected to grow by 21%, reaching $62 billion in 2022, it's no wonder nearly half of CIOs said they've either already deployed AI or plan to add it to their tech stacks in the next year. And with record-high numbers of Americans leaving their jobs, AI has moved from a "nice-to-have" technology to an essential way to optimize your teams' work and keep everyone feeling productive. The question for most businesses is no longer whether to adopt AI -- it's how to best integrate it into processes that scale with the company. Even though companies have spent the last two years implementing new technologies, often under tight deadlines and without a clear plan of what will come next, the process can still feel intimidating.

The life of a clinical study relies on data from documentation, meetings, emails and calls; all of which can be overwhelming for patients, clinical trial teams and associates. Although mundane, documenting, executing and collecting data is crucial to move a trial from phase to phase. Clinical trial teams face a multitude of competing priorities, from evaluating hundreds of potential patients to maintaining compliance and recording patient progress. No aspect or step can be neglected for a trial to succeed, especially regarding patient recruitment and retention. To help streamline these facets, AI-powered support automation platforms provide clinical trial management teams an interactive and informative interface with integrated cloud storage, intelligent document processing and a centralized knowledge base.