The COVID-19 pandemic accelerated the digitization of business processes. While numerous tools supported rapid digitization, it somewhere impacted security, observability, traceability, and compliance of the digital solutions.
Archna Oberoi
Recent Posts
How DevSecOps help you Mitigate Security Risks with DevOps
By Archna Oberoi on Mar 22, 2021 6:28:43 PM
Why Low-code or No-code is more Disruptive Now than Ever
By Archna Oberoi on Mar 10, 2021 6:25:33 PM
By 2024, low-code will be responsible for 65% of application development activities, according to Gartner. The pressure to deliver digital solutions in response to the COVID-19 pandemic has accelerated its adoption.
A Step Towards a Better and Secure Healthcare Industry
By Archna Oberoi on Sep 2, 2020 11:43:01 AM
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.
7 Amazing Examples of Image Recognition Apps
By Archna Oberoi on Aug 26, 2020 6:11:21 PM
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.
5 On-Demand Services that are on the Rise during the COVID-19 Pandemic
By Archna Oberoi on Aug 19, 2020 5:51:24 PM
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.
CNN vs. RNN: What's the Difference?
By Archna Oberoi on Aug 11, 2020 3:38:00 PM
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.
Back to Basics: 5 Crucial Components of Machine Learning
By Archna Oberoi on Aug 5, 2020 5:56:57 PM
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.
EHR Interoperability: Challenges Involved and Overcoming Them
By Archna Oberoi on Aug 5, 2020 3:13:10 PM
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.
Understanding Cloud-Ops: The Reinvented IT Ops
By Archna Oberoi on Jul 22, 2020 6:40:06 PM
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.
Why Build Your Own Practice Management System (PMS)?
By Archna Oberoi on Jul 21, 2020 5:33:00 PM
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.