With the ever-increasing volume, variety, and speed of data available, the scientific disciplines have provided us with advanced mathematical tools, processes, and algorithms to use this data in meaningful ways. Data science (DS), machine learning (ML), and artificial intelligence (AI) are three such disciplines. The question often arises: what is the difference here: data science vs machine learning vs AI? Can they be compared at all? Let’s figure it out.

VITech is pleased to reveal the results of the State of data science and ML in healthcare survey that we conducted on LinkedIn in 2019. The survey sought to look into the scope and patterns of data science and machine learning adoption in the healthcare industry. Over 50 qualified respondents represented a variety of company sizes, from startups to corporations with more than 10,000 employees, in the pharma, care sector, biotechnology, and medical device development. Among them: are C-level execs, directors, and VPs (50% of the pool), as well as ML engineers, data scientists, and software developers. The surveyed have a firm grasp of the industry’s challenges and objectives, enabling us to analyze and assess the trends and the actual state of tech in healthcare.