What's ahead for AI and Machine Learning in healthcare?

In 2019, we saw increased interest and adoption of machine learning (ML) and artificial intelligence (AI) technology in healthcare. Organizations have been piloting solutions that range from helping diagnose patients, to ensuring the privacy of their data. While the industry is beginning to see some benefits from these tools, many end-users are starting to ask important questions like: how does the tool work, or where are my data stored? Similarly, in the last year, we have also seen organizations increasingly send and store their data at third-party vendors instead of on-premises. The combination of these two trends has raised concerns about data protection and the vendor's appropriate use of data.