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The Covid-19 pandemic is the biggest catalyst for digital transformation which will significantly intensify many big developments that are already well underway before the pandemic. This would be applicable to innovations that reduce human-to-human contact, automate processes, and increase productivity amid social distancing. Here are some of the tech trends that have higher demand in future as well:
For those who are involved in retail and supply chain industries, Artificial Intelligence will be particularly useful. Through machine learning and advanced data analytics, AI will help these businesses detect new buying patterns and provide online customers with a greater personalized experience.
The proliferation of “smart” devices that are connected to the internet has been rapid. Post Covid-19, there will be a bigger growth in these devices as a result of social distancing norms. We’ll see how “Smart” devices are used in “Smart” homes. “Smart” refrigerators, for example, can take stock and order groceries online. IoT will also allow us to predict and treat people’s health problems even before any symptoms appear, with smart drug containers, IP for every vital part of your body that the doctor can hack. To smart forks, it can tell whether the food is safe or not.
Travel slowdown will ultimately lead to remote monitoring solutions. These devices will be installed in remote areas, such as farms, oil rigs, remote factories and warehouses, etc. They could be controlled from a central location, and monitored. Wireless fixed access systems can be used to provide connectivity between the central location and the remote locations.
There will be an increase in remote tracking solutions in many locations across the country where mobile network connectivity is not up to the mark. This is because in these regions, movable objects like cars, buses, fishing boats, etc. travel continuously and in the absence of mobile network connectivity, data will be sent and received via satellite connectivity and will be used to send and receive data from a centrally control location.
Remote diagnostic solutions, Virtual doctor visits, chat bots, and online patient engagement tools, autonomous disinfection, mobile applications for healthcare workers, using drones to deliver medical supplies, and specialized isolation units all are excellent examples of use of emerging technologies in prevention of avoidable community transmission of the coronavirus.
Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage and process data with a tolerable elapsed time. Ever-increasing volumes of data and new data-generation sources like IoT, along with the growing use of AI and machine learning and the need to manage and analyse data, are just some key drivers behind the continuing evolution of big data technology.