The HIPAA Journal reported that “2020 was the worst ever year for healthcare industry data breaches.” In the US alone, there were 642 reported data breaches in which the number of records stolen exceeded 500, and in total, nearly 29.3 million healthcare records were exposed.

Many industries have taken up Augmented Reality (AR) serious in order to increase production, sales and customer education. Organizations today are making use of several AR applications for multiple purposes to grab the attention of users. Surveys have predicted a vast growth in the AR VR markets in the near future as much money has been induced into the field. The application of AR technology is establishing a firm hold over the pharmaceutical industry as well.

In part 1 and part 2 of this series, we examined how AI/ML can help improve healthcare and the challenges faced by AI/ML teams in realizing the benefits respectively. In this part, we will explore how Robin and Dell can help overcome these challenges.

Telemedicine or mobile healthcare apps are unquestionably important in our daily lives, as the world is increasingly shifting to an all-digital landscape. And when you think of the current pandemic scenario when social distancing and wearing masks are the new normal, nothing seems to be safer than using mobile health apps. But are we really safe while using these apps? Well, that brings us to the concern of being safe on the internet while using mobile healthcare apps.

In part 1 of this series, we examined how AI/ML can help improve healthcare. AI/ML is an ambitious undertaking that promises to revolutionize healthcare. Getting excited is easy, but where do you start and why is it not just another empty promise? In fact, despite all these promises and futures, most AI/ML projects fail and don’t deliver. The failure rate of AI/ML projects is starting to make some wonder if this is real or hype.