Software Engineering Insights

Envisioning 5G leads me to catchphrases such as speed, low latency, ubiquitous coverage and massive capacity of the Verizon 5G Ultra Wideband network. Sounds amazing, doesn't it? Now imagine compiling this futuristic cellular technology with the astute capabilities of IoT. Sounds even better. 

The trend of digital health technology is on an upward curve presently and will remain so in the decade to come. It is estimated to exceed over $379 billion by 2024. This colossal growth will fuel the need to integrate these latest technologies into the EHR (Electronic Health Record) for any health system. EHR integration enables us to leverage data and insights from digital health tools providing important information, alerts and opportunities including the financial and operational guidance at the point of care. 

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.

IT world is full of various terminologies that are often related to each other. When it comes to digital transformation, DevOps and CloudOps are often touted as two essential ingredients to get much needed competitive advantage and offer differentiated services.

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.

Even in this dynamic and rapidly evolving digital world, JavaScript has withstood the test of time and is here to last for long. Due to its efficiency and flexibility, it can be deployed both on the server-side and the client-side, and can be used for developing mobile and web applications. No doubt, it is one of the widely accepted programming languages.

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.