Robin.io continues to grab the attention of telecom industry peers and thought leaders with its approach to automation and orchestration of complex 5G networks.

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 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.

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.

We all like to enjoy untethered freedom, as is shown by the incredible growth of mobile devices we use every day for business and personal activities. We use mobile devices for buying products and services, and banking and investing. We download apps that allow us to connect with our favorite businesses and socially interact with friends and relatives.

The financial services (FS) industry is going through a period of change and disruption. Technology innovation has provided the means for financial institutions to reimagine the way in which they operate and interact with their customers, employees and the wider ecosystem. One significant area of development is the utilisation of artificial intelligence (AI) and machine learning (ML) which has the potential to positively transform the FS sector.