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On-device AI is transforming computing for hybrid workforces

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Traditionally, laptop performance has been measured by CPU and GPU, but on-device AI processing is now a critical third measure. And that's especially crucial for enterprise PCs as hybrid work challenges crystalize, and the way we use our laptops has fundamentally changed over the last several years. More than ever before, cutting-edge PC technology is our most important and effective business communication and productivity tool. Without the right tools to be effective at work, Gallup found that employees often feel less connected to an organization's culture, their experience impaired collaboration and relationships, and work processes were often disrupted. That's particularly true for PCs without AI capabilities, which suffer from lagging, blurring noise and video quality, multiple distractions, unsecured privacy, unstable connectivity and short battery life.


Digital employees are the future of work

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According to a recent McKinsey survey of executives, companies have pushed the time frame for digitizing many aspects of their business, from internal operations to supply chain and customer interactions, by three to four years. Digital products in those companies' portfolios have also shot some seven years ahead of where they had expected to be prior to the pandemic. The Great Resignation, skill shortages, supply chain disruptions, working from home, touchless customer experience, and agile process redesigns are paradigm shifts that businesses have rapidly needed to adapt to. But how do companies stay dynamic, resilient, and efficient in this new era? We believe that a big part of the solution may be found in digital employees, powered by automation and AI.


How AI-powered XDR can secure the hybrid workforce - S.G.E

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A year ago, NOV Inc. was in the middle of evaluating a new security product to help with securing its globally distributed workforce, spread across more than 60 countries. The oilfield equipment maker was considering deploying an extended detection and response (XDR) solution from SentinelOne -- and as part of the evaluation, NOV deployed the XDR platform across a company it had recently acquired. "Immediately" after deployment, SentinelOne's Singularity XDR detected and halted a cyberattack in progress against the acquired company, said NOV chief information security officer John McLeod -- and then remediated the attack, as well. "This was all done during the pandemic lockdown, in a country on the other side of the globe, where we didn't speak the same language," McLeod said in an email. Perhaps unsurprisingly, NOV ended up becoming a customer.


Digital Transformation: Technology Trends, Priorities and Predictions for 2022 and Beyond

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Artificial Intelligence (AI) and Machine Learning (ML), Cloud Computing, and 5G will be the most important technologies in 2022, according to a new study conducted by IEEE called'The Impact of Technology in 2022 and Beyond.' The report includes a survey of 350 CTOs, CIOs, and IT Directors, and other technology leaders at organizations with over 1,000 employees across multiple industry sectors, including banking and financial services, consumer goods, education, electronics, engineering, energy, government, healthcare, insurance, retail, technology, and telecommunications. Findings reveal the key technologies that will not only impact industries in 2022 but will dominate the next decade's digital transformation strategies. According to the IEEE study, technology leaders agree that Artificial Intelligence (AI) and Machine Learning (ML) will drive the majority of innovation across nearly every sector in the next 1 to 5 years. Other technologies driving innovation from 2022 onwards include Cloud Computing, 5G, Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (XR).


The Impact of Tech in 2022

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Now is the time to upgrade our technologies, and in the year 2022, AI, ML, 5G, and Cloud Computing will be the most important technologies to emerge. The covid-19 pandemic will continue to have a wide-ranging influence on our life in 2022. As a result, the digitalization and virtualization of business and society will continue to increase. As we enter the new year, however, the demand for sustainability, ever-increasing data volumes, and faster computation and network speeds will reclaim their positions as the most essential drivers of digital transformation. IEEE has announced the conclusions of a new study of global technology executives from the United States, the United Kingdom, China, India, and Brazil titled "The Impact of Technology in 2022 and Beyond: an IEEE Global Study."


AI, Cloud, 5G to be the Most Important Technologies in 2022, Says Study

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Artificial Intelligence (AI), Machine Learning (ML), Cloud Computing and 5G will be the most important technologies in 2022, according to IEEE's recent Global Study. The new survey of global technology leaders from the U.S., U.K., China, India and Brazil, which included 350 CIOs, CTOs and IT directors, covers the most important technologies in 2022, industries most impacted by technology in the year ahead, and technology trends through the next decade. Which technologies will be the most important in 2022? Among total respondents, more than one in five (21%) say AI and ML, cloud computing (20%) and 5G (17%) will be the most important technologies next year. Because of the global pandemic, technology leaders surveyed said in 2021 they accelerated adoption of cloud computing (60%), AI and ML (51%), and 5G (46%), among others.


How a hybrid workforce can save up to 20 hours a month - Cloud computing news

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How productive would your company employees be if they could save two hours a day on regular tasks? With the growth and evolution of today's digital economy, companies face the challenge of managing increasingly complex business processes that involve massive amounts of data. This has also led to repetitive work, like requiring employees to manually perform data-intensive tasks when there are technologies available that could help free their time and automate tasks. According to a WorkMarket report, 53 percent of employees believe they could save up to two hours a day by automating tasks; that equates to roughly 20 hours a month. Working on tasks that could easily be automated is probably not the best use of employees' time, especially if your business is trying to improve productivity or customer service.


Technology Trends You Need to Know Regardless of Your Industry

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Business leaders cannot lull themselves into complacency based on present conditions but must keep transforming for the future. As we look to embrace the new normal, we must still deal with the old! Digital transformation is first about the business and how it operates and then about the technology, but we should all be familiar with the trends and concepts. What I am referring to is human-machine collaboration in the new hybrid workforce. This is a new normal for successful businesses.


What is Collaborative AI?

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How Collaborative AI, otherwise known as a Hybrid Workforce, will impact the modern workforce. Collaborative AI is a new model of work that enables employees to perform their job functions faster and with more insight as a result of teamwork with AI systems. Otherwise known as a Digital Workforce or a Hybrid Workforce, Collaborative AI frees humans from mundane, repetitive tasks in order to focus on more high-value or unique tasks. "In our research involving 1,500 companies, we found that firms achieve the most significant performance improvements when humans and machines work together," according to a Harvard Business Review article on Collaborative AI. "Through such collaborative intelligence, humans and AI actively enhance each other's complementary strengths: the leadership, teamwork, creativity, and social skills of the former, and the speed, scalability, and quantitative capabilities of the latter. What comes naturally to people (making a joke, for example) can be tricky for machines, and what's straightforward for machines (analyzing gigabytes of data) remains virtually impossible for humans. Business requires both kinds of capabilities."


Council Post: Why The Future Of Insurance Includes Conversational AI

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Prior to joining IPsoft, Chetan served as an assistant professor at New York University. A number of insurers are in the middle of pandemic-proofing their policies, but there is another category flourishing in the sector: technologies tailored to the needs of insurance companies (insurtech). Insurtech focuses on disrupting the industry through technological breakthroughs, and traditional insurance firms are starting to utilize innovative technologies to amplify the work of employees while enhancing the customer experience. The companies that are thriving have embraced the concept of a hybrid workforce -- a culmination of human and digital employees coming together for greater productivity, efficiency and service delivery. Powered by AI, digital employees allow insurers to easily scale their customer-facing processes in any climate.