Maybe you won't be physically together with family or friends this Thanksgiving, but you can still gather – virtually. You could all eat dinner at the same time while connected on Zoom or on other video services. Instead of that traditional trip to the theater after dinner, you can hang out watching a movie or your favorite TV series online. Many streaming services have created special ways to watch together, but you can strategize your own way to be connected and have a movie viewing. You want to connect safely, making sure the apps you use to congregate don't come with pitfalls.
The former Forrester Research Director Chris Mines predicted in 2019 that the world of software development was set for some big changes in 2020. We had no idea that a year later, almost every development shop would be a remote development shop. It makes the curated list of "remote-friendly" companies on GitHub a nostalgic reminder of a simpler, pre-pandemic time. Most developers adjusted well to the changes in 2020, certainly compared to other professions. Working hours increased and work weeks lengthened, but our digital world didn't come crashing down like other sectors of the global economy.
Details on the roles that emerging technologies have played in the face of the COVID-19 pandemic throughout 2020 have been released by IdTechEx. With results needed at an unprecedented scale in a limited time, diagnostic approaches were explored to quickly diagnose COVID-19 patients. The lungs of patients with COVID-19 have certain visual hallmarks such as ground-glass opacities and areas of increased density, both of which can be detected using CT and x-ray imaging. To further speed up this process, companies developing artificial intelligence solutions for the detection of respiratory diseases quickly tailored their software to differentiate COVID-19 from other respiratory infections, decreasing image analysis time to the matter of seconds. In order to prepare for the oncoming surge in COVID-19 patients and to prevent the spread of COVID-19 between patients in healthcare settings, healthcare systems around the world halted provision of "non-urgent" doctor visits, which extends to everything from cardiac patients to cancer treatments. This, combined with the public's concern and confusion around COVID-19 diagnosis, caused a huge increase in demand for digital health services.
The COVID-19 pandemic has increased the focus on the use of artificial intelligence (AI) across the life sciences organization, from R&D to manufacturing, supply chain, and commercial functions. During the pandemic, company leadership and management realized that they could run many aspects of their business remotely and with digital solutions. This experience has transformed mindsets; leaders are more likely to lean into a future that lies in digital investments, data, and AI because of this experience. At present, the life sciences industry has only begun to scratch the surface of AI's potential, primarily applying it to automate existing processes. By melding AI with rigorous medical and scientific knowledge, companies can do even more to leverage this technology to transform processes and achieve a competitive edge. AI has the potential to identify and validate genetic targets for drug development, design novel compounds, expedite drug development, make supply chains smarter and more responsive, and help launch and market products. We will highlight a number of these use cases in this report.
Machine-learning algorithms seem to have insinuated their way into every human activity short of toenail clipping and dog washing, although the tech giants may have solutions in the works for both. If Alexa knows anything about such projects, she's not saying. But one thing that algorithms presumably cannot do, besides feel heartbreak, is formulate theories to explain human behavior or account for the varying blend of motives behind it. They are computer systems; they can't play Sigmund Freud or Carl Jung, at least not convincingly. Social scientists have used the algorithms as tools, to number-crunch and test-drive ideas, and potentially predict behaviors -- like how people will vote or who is likely to engage in self-harm -- secure in the knowledge that ultimately humans are the ones who sit in the big-thinking chair.
Artificial intelligence (AI) has quite evolved itself over recent decades. While it sparked numerous innovations and brought digital disruption to many industries, it also changed the jobs market forever. It is true that AI has replaced some jobs, however, it has also brought new roles for human workers. As per a 2017 research from IDC, released by Salesforce, AI is projected to create 823,734 jobs by the year 2021, surpassing the number of jobs lost to AI technologies such as machine learning and automation. The report had also predicted that AI would increase global business revenues by US$1.1 trillion in the same time frame.
Almost a year ago I had the good fortune to get introduced to Dr. Yuping Liu-Thompkins of Loyalty Science Lab, an incredible academician, researcher and good person. Her research focuses on real world issues of more than intellectual interest, research that suggests both problems and solutions. And Dr. Liu-Thompkins, in conjunction with David King and Dr. Bonnie Holub -- both of Teradata-- have done it again. This post might seem to be aimed at retailers -- and to some degree it's a wake up call for them - but I think you'll see it's pointing to important changes in consumer behavior that have occurred during the pandemic - changes that for the most part are likely to survive it. Their case for analytics usage -- which is not the obvious case -- is compelling.
China has pledged to collaborate in global efforts to drive digital development and build a "shared cyberspace" community. It has underscored the importance of the internet and international cooperation, as economies worldwide look to battle the COVID-19 pandemic. Chinese President Xi Jinping said China was "ready to work with other countries" to tap the opportunities "presented by the information revolution" and drive growth through innovation as well as open up new grounds in digital cooperation. Efforts also would be made to create a new paradigm for cybersecurity and to build a community with a "shared future in cyberspace", creating a brighter future for humanity, Xi said in a letter he sent and was read at the 2020 World Internet Conference in Wuzhen, China. With China-US trade relations still tense, efforts to cut out Chinese vendors such as Huawei from 5G implementations may create separate ecosystems and consumers could lose out on benefits from the wide adoption of global standards, as demonstrated with 4G.
As we approach the close of a whirlwind 2020, connected devices will continue to define numerous industries in the coming year. Several trends continue to gather momentum, fueling IoT's prominence in 2021, from data-intensive experiences that use Internet of Things (IoT) devices (such as self-driving cars or wearable devices) to basic health-and-safety needs as COVID-19 continues to take center stage. At the same time, the IoT landscape remains fragmented, with various prevailing standards, connectivity options and use cases abounding. This fragmentation will continue, predicted Forrester Research, and connectivity options will be diverse rather than standardized. While 5G has been touted as the holy grail for IoT, "there will be a variety of connectivity options," said Michele Pelino, senior analyst within the infrastructure and operations research team at Forrester.
Critical Care Suite 2.0 helps bedside staff and radiologists assess Endotracheal Tube (ETT) placement for intubated patients, including critical COVID-19 patients GE Healthcare announced a new artificial intelligence (AI) algorithm to help clinicians assess Endotracheal Tube (ETT) placements, a necessary and important step when ventilating critically ill COVID-19 patients. The AI solution is one of five included in GE Healthcare's Critical Care Suite 2.0, an industry-first collection of AI algorithms embedded on a mobile x-ray device for automated measurements, case prioritization and quality control. Research shows that up to 25 percent of patients intubated outside of the operating room have misplaced ETTs on chest x-rays, which can lead to severe complications for patients, including hyperinflation, pneumothorax, cardiac arrest and death. Moreover, as COVID-19 cases climb, with more than 50 million confirmed worldwide, anywhere from 5-15 percent require intensive care surveillance and intubation for ventilatory support. "Today, clinicians are overwhelmed, experiencing mounting pressure as a result of an ever-increasing number of patients," said Jan Makela, President and CEO, Imaging at GE Healthcare.