Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will present how Knowledge Graph technologies are increasingly being developed and leveraged in academia and industry to tackle complex data integration challenges in life sciences and healthcare. I will showcase how these technologies are currently being used in several different areas, such as drug discovery and safety, clinical search and decision support, biomedical research, and disease monitoring. These technologies, in conjunction with machine learning methods, enable the capture, representation, and provision of ever evolving and expanding biological and medical data and knowledge. I will end the talk with my perspective on some of the major bottlenecks that currently hinder the wide-spread adoption of knowledge graphs and discuss some of the next directions and technical solutions to mitigate these bottlenecks. Eventually, these technologies will enable the development of scalable platforms that can support artificial intelligence methods for augmenting human intelligence to achieve better clinical outcomes for patients, to enhance the quality of biomedical research, and to improve our understanding of living systems.