Apple, Healthcare and Machine Learning


Apple enters Financial Services Market

Goldman Sachs and Apple have partnered together to launch the Apple Card for iPhones. Working in conjunction with Apple Pay, the announcement marks Apple’s first proper step towards becoming a legitimate competitor in the Financial Services space.

Offering both app-based payment options as well as a physical card, the service will also offer cash-back and rewards schemes as well as integrating with Apple’s wallet application to allow for easy tracking of user spending and payments.

There is some scepticism as to how much of a legitimate threat Apple can really hope to become in this arena – especially considering its offering is similar to those offered by well-entrenched market leaders.

However, Apple’s user base is colossal, and one would assume that a good portion of these users would happily start using Apple card based on pure convenience alone. In recent blogs, we have commented on the advantages possessed by larger tech companies when it comes to entering the financial sector. The number of customers, combined with the amount of data collected on these customers, places companies like Apple in a uniquely advantageous position.

British Heart Foundation Chairman: Data Science will transform healthcare

Doug Gurr, chairman of the British Heart Foundation, has been quoted as saying that he believes data science still has a massive role to play in healthcare. Through continuously improving data sets and bringing aboard talented data scientists to make sense of that data, Gurr hopes that data science will allow healthcare professionals to predict the onset and development of disease, as well as the response to treatment. This will hopefully allow for medical professionals to make more targeted intervention decisions.

From collecting data on wearable devices to monitor health problems, to increasing the accuracy of diagnoses, to creating more specific and bespoke prescriptions, the potential for data science to improve the healthcare landscape is gargantuan. As data science continues to develop into a more mainstream discipline, we can hopefully expect to see some of these benefits manifest themselves.

One of the first online Masters in Machine Learning announced by Imperial

Imperial College London has unveiled plans for one of the first ever online Machine Learning Masters courses, to be launched in late 2020 or early 2021.

Hosted on the Coursera platform, the degree will provide education in key machine learning tools such as PySpark and PyTorch, as well as other machine learning fundamentals. Applicants will need to have an undergraduate degree in maths, computer science, statistics or similar. Although the course is online, there will be frequent opportunities for students to engage with faculty at Imperial College.

With the machine learning market expected to grow to $8.8 billion globally by 2022, initiatives like this one by Imperial will hopefully ensure that there are enough machine learning professionals to go around as the number of roles requiring an understanding of the field continue to increase.

Saragossa are a talent provider specialising in the Financial Technology, Financial Operations and Data Science sectors. Our role is to match clients with high calibre candidates. Our work encompasses filling temporary contracts along with building permanent teams and resourcing projects. To find out more, please contact or call 020 7871 3666.