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AI not only helped in data gathering but also in data processing, data analyses, number crunching, genome sequencing, and making the all-important automated protein molecule binding prediction.
AI’s use will not end with the vaccine’s discovery and distribution; it will be used to study the side effects in the billions of vaccinations
Since the global pandemic turned up on our doorsteps, the world has noticed drastic changes. In many different ways, things have changed dramatically. Societal norms and economic challenges have impacted people in many ways after the emergence of COVID-19.
There is no way we can sweep away the differences the time has caused and move back to the life we had in the past.
The Consortium for Information and Software Quality (CISQ) recently released a report about the cost of poor quality software (CPSQ) in the US in 2020. Reading between the lines, we can see how the COVID-19 crisis contributed to making this problem even worse.
This past January, CISQ released The Cost of Poor Quality Software in the US: A 2020 Report and presented a webinar covering the key findings. Both provided valuable information about how the spread of poor software quality has had serious economic consequences in the United States.
Are you familiar with the fact that utilization of artificial intelligence across businesses will tend to create $2.9 trillion of business value in 2021 as well as 6.2 billion hours of productivity? Keeping in view this up-pacing technology, the artificial intelligence market is projected to grow to $190 billion by the year 2025.
Without any uncertainty, it is clear this whole globe is accommodated with synergizing human intelligence and artificial intelligence. The immense acquisition is observed especially during the pandemic of COVID-19 which was an excuse that “work from home” is becoming a new normal. Either working from home, or from the office or a blend of both, employees are learning to work in different ways with different collaborative tools. As organizations are facing this new normal, technological advancements have made work from home a seamless reality. The evolution of augmented intelligence has paved the way for collaborative experience and richer work.
Remote work has killed pair programming. Or has it? If anything, it certainly presents an interesting challenge for pair programming when the two developers involved are no longer sitting side by side in the same room. But can you still successfully pair program in this world of remote work?
In this article, we'll look at some of the benefits of pair programming and how you can use technology like the Visual Studio Code Live Share extension to continue to pair program remotely with your colleagues.
Drones, also known as UAVs, are unmanned aircraft with no on-board crew or passengers in them. They are pilotless vehicles that can either be remotely controlled or are pre-programmed for a specific mission (initially used for military purposes). Unmanned aircrafts systems predominantly include the unmanned aerial vehicle, a remote controller, and a system of communications between them. Drones and UAVs were initially designed to fly for a long time at a controlled level of speed and height.
Now, they come in various sizes and serve a multitude of purposes. Some Drones and UAVs are autonomous, while some are remote-controlled. Some are short flight drones while some are large, and can operate for a couple of hours. They are designed for low flying or are capable of scaling greater heights.
There is an open project, COVID-19 CovidSim Model, written in C++. There is also a PVS-Studio static code analyzer that detects errors very well. One day they met. Let's embrace the fragility of mathematical modeling algorithms and why you need to make every effort to enhance code quality.
This little story begins with an ordinary search on GitHub. While looking through the search results, I accidentally came across the COVID-19 CovidSim Model project. Without thinking twice, I decided to check it out using the PVS-Studio analyzer.
We may not want to admit this but many of us (myself included) are guilty of not doing something important unless we’re forced to do it. We push off those health goals until we get an unusual test result from the doctor or finally head to the dentist when our molar aches. In the same vein, like we want to keep our bodies healthy, business leaders have the same goal of keeping their business evolving as time progresses, with the help of digital transformation. Yet, before COVID, some digital transformation strategies were reserved for the backburner or moonshots.
Up until this year, the world hasn’t changed the way we work in this magnitude, forcing us to work in a dominantly remote way. The inability to travel and lack of physical access to people has pushed us to embrace the digital methods we knew we had to have in our arsenal for the past decade.
In the year 2020, cloud adoption accelerated within enterprises, as they were forced to find ways to innovate and respond to the challenges associated with COVID-19. The pandemic seemingly validated the value proposition offered up by the cloud, with adoption allowing organizations to enhance their support for remote working setups, optimize IT costs, and ensure that their operational infrastructure is more resilient than ever.
In this episode of cocktails, Technology Sales Leader and Cloud Social Influencer Ian Moyse discusses with David Brown the barriers organizations face with cloud adoption, the impact of emerging technologies such as 5G and edge computing on the cloud, and the increasing security challenges, risks, and opportunities involved in cloud adoption.
Charting provides a powerful way to visualize and explore your data by helping to uncover patterns, trends, relationships, and structures that might not be apparent when looking at a table or map. The COVID-19 pandemic has created voluminous streams of data for scientists, researchers, and decision-makers to visualize, analyze, and understand through a variety of data analysis packages and tools.
This blog walks through visualizing characteristics and trends of the COVID-19 pandemic in the United States during 2020 using the integration between Python and ArcGIS Platform.
In recent years, machine learning has found applications in new and often unexpected areas. With the novel coronavirus outbreak in 2019 and 2020, it makes sense that many have tried to apply machine learning and artificial intelligence to various problems relating to the disease. From modeling the spread of the disease to searching for possible drugs and vaccines, machine learning has been integral to understanding many of the problems caused by the COVID-19 pandemic.
A simple internet search will lead you to hundreds of dashboards showing the current number of coronavirus cases around the world. This stems from how easy it is to access data relating to the virus, especially from reputable sources like Kaggle or Johns Hopkins. This data, along with sophisticated models for disease dynamics has, for example, enabled predictive modeling for the number of people who actually have the virus and the risk of hosting an event in any county in the US.
An article in the Washington Post, published on 23-Oct-2020, argues the case for wearing a mask while the COVID-19 pandemic continues and refers to data from Carnegie Mellon’s COVIDcast, an academic project tracking real-time coronavirus statistics. Look for this:
There’s a simple statistical measure of correlation intensity called 'R-squared,' which goes from zero (absolutely no relationship between the two variables) to 1 (the variables move perfectly in [linear] tandem). The 'R-squared' of CovidCast’s mask and symptom data is 0.73, meaning that you can predict about 73 percent of the variability in state-level COVID-19 symptom prevalence simply by knowing how often people wear their masks.
It is beneficial for businesses to implement a seamless authentication and login system for many reasons. From increasing traffic, reducing password fatigue, and improving security functions, a vastly convenient feature like Single Sign-On (SSO) can help to improve your consumer experience.
A large number of consumers will click away from an app or website to avoid filling out an online registration form. Many businesses simply abandon those consumers because their authentication systems are not efficient enough.
Throughout 2020, the COVID-19 pandemic has dominated headlines around the world, and rightly so. And for the most part, discussions about how it intersected with the technology world have centered on things like contact tracing and epidemiology research topics. But as the pandemic has continued to batter populations and economies everywhere, there's growing evidence that it's becoming a major digital change driver across a wide variety of industries, too.
One after another, surveys continue to uncover an acceleration of the ongoing trend toward AI adoption in multiple fields. One, in particular, found that 68% of businesses have increased their spending on AI technology as a part of their pandemic response. When all is said and done, we could be witnessing a fundamental shift that will leave the economic landscape looking very different than it did less than a year ago.
The COVID-19 pandemic we’re all facing this year is transforming the workforce throughout the whole world. As it doesn't seem like we're going back to the office any time soon, looks like companies are going to need DevOps more than ever.
The COVID-19 pandemic we’re all facing this year is transforming the workforce throughout the whole world. In fact, according to Stanford University research, the US has become a work-from-home economy. 42% of the workforce now working from home full-time. While some businesses are finding it difficult to adjust to this modern lifestyle, others went on immediately. Looking ahead, for a large number of organizations, the inability to adapt could be fatal.
Recently, Dries Buytaert, creator of Drupal and co-founder of Acquia, published a blog post entitled Is open-source recession-proof? He wrote:
“...during an economic downturn, organizations will look to lower costs, take control of their own destiny, and strive to do more with less. Adopting Open Source helps these organizations survive and thrive.”
In June of 2020, Tidelift fielded our annual managed open-source survey of technologists who use open source to build applications at work. Over 600 people shared how they use open source software today, what holds them back, and what tools and strategies would help them use it even more effectively.
In this post, we share the first of nine key findings. If you don’t wait to wait for the rest of the results, you can download the full survey report right now at the link below.
We’ve written previously at Tidelift about how organizations tend to encourage the use of open-source, even more, when times get tough, in part because it helps them save money. So in this year’s managed open-source survey, we wanted to learn whether the economic ramifications of the COVID-19 pandemic were once again putting application development budgets under pressure—and indeed they are.
As a direct result of Covid-19, enterprises are advancing their plans to digitize and automate parts of their business not just to achieve better operational efficiencies, but to protect themselves from disruptions.
During the pandemic, many companies experienced significant increase in pressure from customers, while their number of available employees decreased. Many contact centers were unable to cope with demand or closed because of lockdown restrictions, leading to long delays in customer service queries, which dramatically affected the customer experience.