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'There's no way back after this': Inside the unexpected tech revolution at the NHS

ZDNet

Technology has been absolutely vital in helping the NHS manage the overwhelming pressure placed on its services since the start of the COVID-19 pandemic. Everything from video conferencing and remote appointments with GPs through to artificial intelligence systems designed to understand the demand for hospital beds, has been used to help keep healthcare services operating throughout the pandemic. In the early days of the coronavirus crisis, NHS Digital, which is responsible for a number of key digital services for health and social care in the UK, quickly found itself under strain as people began searching for information on COVID-19. In the first week of March alone, the organisation fielded an additional 120,000 calls to its NHS 111 hotline, forcing it to quickly increase capacity and set up an online system where people could check COVID-19 symptoms and get advice. Within a week, more than one million people had used the service; at its peak, NHS 111 online experienced 95 times its highest ever use, with over 818,000 accessing the service in a single day. "No CIO prepares for that," says Sarah Wilkinson, CEO of NHS Digital. The experience was testing for NHS Digital, which had to rapidly scale up services at a pace that, while necessary, Wilkinson admits felt "too fast for comfort" at times.


How Remote Work Can Fuel The New AI Tech Centers

#artificialintelligence

As the world prepares to embrace the new normalcy of life, a lot of companies have started allowing their employees to work from home to ensure their safety after the outbreak of COVID-19. This is especially true for organizations with computer programming, data science, artificial intelligence, engineering, and machine learning workforce. Implemented as a temporary solution, remote work is likely to become the normal way of keeping such businesses functional. Most of the companies have always preferred hiring locally, requiring employees to stay in the local region even when allowing work from home. Due to this, individuals from different parts of the world migrate to locations that have more job opportunities such as Silicon Valley, New York City, Seattle, etc.


How Remote Work Can Fuel The New AI Tech Centers

#artificialintelligence

This is especially true for organizations with computer programming, data science, artificial intelligence, engineering, and machine learning workforce.


'Horrible' offices look to tempt back workers

BBC News

"Many of us spend most of our waking lives in offices and typically they're horrible," says Maciej Markowski, chief executive of spaceOS, a start-up based in Warsaw. Before coronavirus offices were "a mix of noise, distraction and an endless search for a free meeting room," he says. Mr Markowski's company makes an app and other technology that connects tenants with their workplaces. He thinks that if building owners want to keep their tenants happy, then they need to be looking at different kinds of data. "The craziest thing is: corporate real estate is really data focused, you have tremendous information on occupancy, electricity and water usage," says Mr Markowski.


How To Improve Channel Sales With AI-Based Knowledge Sharing Networks

#artificialintelligence

Bottom Line: Knowledge-sharing networks have been improving supply chain collaboration for decades; it's time to enhance them with AI and extend them to resellers to revolutionize channel selling with more insights. Add to that the complexity of selling CPQ and product configurations through channels, and the value of using AI to improve knowledge sharing networks becomes a compelling business case. Automotive, consumer electronics, high tech, and industrial products manufacturers are combining IoT sensors, microcontrollers, and modular designs to sell channel-configurable smart vehicles and products. AI-based knowledge-sharing networks are crucial to the success of their next-generation products. Likewise, to sell to any of these manufacturers, suppliers need to be pursuing the same strategy.


'Death of the office' exaggerated despite homeworking boom

#artificialintelligence

PA Consulting's Lee Howells, an automation and AI expert, is quoted in a special AI & Robotics report on how AI-driven technology is accelerating the shift towards home working. The piece discusses how the COVID-19 lockdown has forced millions of employees to adapt to working remotely, and says this trend is expected to continue well after the pandemic subsides. Companies such as Facebook and Twitter are moving towards making working from home the norm -- a shift enabled by artificial intelligence-driven telecommuting. However, the article goes on to recognise the potential of homeworking to cause mental stress, with many employees noting "video call fatigue" and craving real human interaction. Lee predicts that the lockdown will accelerate the development and use of AI tools to monitor and manage the mental wellbeing of remote workers.


How AI can ensure your transition to remote work is equitable

#artificialintelligence

Removing bias from talent decisions helps companies move closer to gender equity with every new hire, performance evaluation, and pay/compensation decision. No longer must companies rely on informal relationships and unconscious bias to make critical human capital decisions. With the tools of the Fourth Industrial Revolution, organizations can use objective data to do what's in their financial best interest as well as the best interest of their employees. After all, gender equity is more than a social issue, it's also a stunning economic opportunity.


Is AI causing collective intelligence research to become less diverse?

#artificialintelligence

Understanding how AI can help us enhance collective human efforts to solve complex problems is at the heart of Nesta's vision for a public interest AI. AI is increasingly being used within all fields and collective intelligence is no exception. Earlier this year, our report on the Future of Minds & Machines first drew attention to the need for more imaginative approaches to combining AI & collective intelligence (CI) in practice. By mapping case studies of collective intelligence in action, we found that most projects applied a fairly narrow range of AI methods to make sense of vast amounts of passively generated or actively crowdsourced user content. Almost all of these methods rely on big datasets and use machine-learning to find structure and patterns in "messy" data.


Why aren't people smarter? The dubious benefits of intelligence, real or artificial

#artificialintelligence

Artificial Intelligence (AI) promises to make the human race smarter. Raymond Kurzweil has made predicting the Singularity -- when artificial intelligence exceeds human intelligence -- a cottage industry. Is AI going to make us all smarter, or are we already as smart as we can handle? This TechRepublic Premium ebook compiles the latest on cancelled conferences, cybersecurity attacks, remote work tips, and the impact this pandemic is having on the tech industry. Some of our issues are cognitive, such as our inherent inability to estimate exponential functions.


Blue Prism revamps Digital Exchange, its intelligent automation marketplace

ZDNet

Blue Prism on Wednesday unveiled a revamped version of Blue Prism Digital Exchange (DX), its marketplace for enterprises looking for AI skills, connectors and functions. The new version makes it easier for Blue Prism partners and developers to list their intelligent automation capabilities. It also includes a private version of the marketplace for customers with rigorous security demands. The DX has more than 500 assets available to download from more than 100 active partners, Blue Prism says. The aim is to eliminate the need for robotic process automation (RPA) developers to build their own AI processes.