As per the Deloitte Insights, funding for health-tech developers exceeded US$7.4 billion in 2019, and the funding data shows that investors continue to be optimistic about investing in the health-tech field. In 2018, digital health organizations had secured more than $7.5bn in investment, according to Forbes.
Humans have exceptional power for image recognition. High-level image understanding, contextual knowledge, and the ability for parallel processing are some of the factors that contribute to precise recognition of objects, places, people, writing, and actions. However, humans develop these abilities over time and have a limitation as well. When it comes to recognizing images from a large set of data, human processing power might fail.
COVID-19 pandemic has marked a downfall for several businesses and individual lives globally. Finance, retail, hospitality, travel are some of the industries that have been drastically impacted by the coronavirus outbreak. Moreover, the measures taken to prevent the spread of infection- lockdown and social distancing put the primary livelihood at a halt.
Machine Learning is one of the proficient technologies that we have for pattern recognition, data mining, statistical analysis on large volumes of data. It’s enabling machines to recognize intricate patterns and make intelligent decisions, without human intervention. In order to achieve this, the ML technology is accompanied by neural networks.
The human brain has got tremendous potential. On an everyday basis, it performs hundreds and thousands of tasks- such as recognizing faces, learning from experiences, memorizing facts, identifying objects, understanding words & languages, recognize intent & sentiments, and more. There are billions of neurons in the brain that network together to accomplish these tasks.
The COVID-19 pandemic has made healthcare providers realize the importance of digital solutions, more than ever. The providers are continuously struggling to reduce the burdens & risks associated with travel to clinics, hospitals, labs, or other healthcare organizations. Moreover, caregivers have to ensure the delivery of value-based care to patients in their home environments. The insurance reimbursements need to be streamlined. As a consequence of this demand, the digital healthcare market is projected to reach $500 billion by 2025.
On average, a human speaks 700 words per day, which includes the words of actual value (i.e. words that have an intent to communicate to another person). Instant messaging, telephonic conversations, books, movies, songs, verbal (F2F) communication are amongst some of the common ways humans exchange their thoughts and information.
The public cloud computing market size is expected to reach $354 billion by 2022. This includes business processes, platforms, software, infrastructure, management, security, and almost everything that a cloud service provider delivers.
The COVID-19 pandemic is driving the healthcare system to the limit. The rapid rise in the demand for healthcare facilities and providers has burdened the system, making it unable to operate with absolute efficiency.
Have you noticed the ‘Smart Compose’ feature in Gmail that gives auto-suggestions to complete sentences while writing an email? This is one of the various use-cases of language models used in Natural Language Processing (NLP).