The onus is falling upon AI, Data and Analytics to save the NHS in a post-pandemic world. A dedicated stage at Digital Health Rewired 2023 will showcase the best of AI in action and explore opportunities for data and analytics in patient care. The AI, Data and Analytics stage will bring together data scientists and researchers, clinicians, and healthcare IT professionals to discuss the latest uses of new analytical and predictive tools. Highlights of the programme include Dominic Cushnan, director of AI, imaging and deployment at NHS England, who will ask in his keynote speech whether AI can save the NHS. Cushnan will be joined on the two-day stage by speakers including Dr Nicola Byrne, national data guardian (NDG) for health and adult social care in England.

Artificial intelligence (AI) and machine learning (ML) are ubiquitous in consumers' lives, from the "up next" suggestions from your streaming service to routes suggested by your GPS when you plug an address into your phone for directions. Less visible impacts of AI and ML include the use of AI to control data center efficiency and cooling or the management of restaurant wait times, as some companies use AI to make decisions about how many burgers to cook for the day's lunch rush. Whereas AI refers to the ability of a computer to emulate human decision-making, ML is the algorithm-driven foundation that enables AI. We can think of automation as the application of AI to develop a series of repeatable tasks or actions designed to accomplish a certain task or execute a process. Companies use automation for transporting products to warehouse workers for packing, processing invoices, and assisting with many other repetitive business tasks that humans have historically performed.

Tristan Glatard, co-director of Applied AI Institute at Concordia University (left) and Fenwick McKelvey, co-director of Applied AI Institute at Concordia University (right).Supplied It wasn't long ago when, for the average person, the words "artificial intelligence" conjured up visions of futuristic fiction – the androids of Blade Runner, say, or Steven Spielberg's A.I. In fact, artificial intelligence is very much here-and-now, and not only with a human façade (think of virtual assistants Siri and Alexa, those smartphone genies ready to do our bidding), but in a myriad of forms. From Google searches to medical diagnoses, Netflix's personalized "Top Picks" to self-driving cars, AI technology has become pervasive. It's predicted that the AI market will contribute as much as $15.7-trillion per year to the global economy by the end of this decade. Its applications will be increasingly integrated into our lives and play a role in shaping our society.

A ed-tech nonprofit will join four universities in launching a new institute dedicated to creating artificial intelligence tools that can be applied to human …

Artificial intelligence (AI) continues to make its way throughout the back office, exploring new areas to automate and optimize, freeing up human experts for more strategic initiatives. Today, the standard level of AI in a process like accounts payable (AP) most often appears as a technology that can automatically "read" key documents like invoices and identify and extract important information like supplier and pricing. Alexander T. Hagerup, co-founder and CEO of Vic.ai, recently told PYMNTS that AI has a far greater opportunity in the enterprise, including in AP automation. In an interview, Hagerup discussed his vision for the technology's presence in a notoriously complex and manual area of the back office and considered what the adoption curve may look like as more professionals feel comfortable with technology taking over important actions. As AI technology becomes more sophisticated, some of the most ingrained pain points of AP workflows no longer seem like difficult challenges to overcome.

With more and more artificial intelligence (AI) solutions emerging each year, it's safe to say that this technology is here to stay. Statista predicts that the global AI market will be worth more than $10.5 billion by 2020, and forward-thinking businesses continue to incorporate AI into their everyday operations in the form of automation and customer service chatbots. If your business hasn't yet jumped on the AI bandwagon, you might be wondering what you're missing -- and whether you really need to find out. While it's true that many businesses have found worthwhile use cases for this technology, it may not necessarily be the right time for your company to explore AI. According to Forbes Technology Council members, here are nine questions to determine if artificial intelligence is a smart investment for your business right now.

IBM has teamed up with a Montreal-based Institute for Data Valorization (IVADO) to jointly develop artificial intelligence (AI) products, with plans to add another 100 technology professionals to its innovation center. The innovation center, launched in 2016 for providing digital transformation services, will henceforth focus on AI and Salesforce expertise, the American technology giant stated in a press release. "Research in AI is quickly expanding worldwide – and particularly in Montréal – but AI is far from having reached its full potential in delivering concrete results for businesses," said Claude Guay, General Manager, IBM Services, Canada. "IBM's CIC in Montréal will focus on delivering value to its clients through applied AI and bringing real solutions to real problems." The new recruits the company is looking for will work as machine learning engineers, data scientists, full stack developers, or data engineers.

The UAE's aviation authority has signed an agreement which will explore the use of artificial intelligence (AI) in the country's air traffic management. The UAE General Civil Aviation Authority (GCAA) and Searidge Technologies have signed the deal to cooperate in pursuing research and development activities. The collaboration is the first in the region and will bring together the technical expertise of Canada-based Searidge Technologies in digital airport solutions and the operational expertise of GCAA, a statement said. Saif Mohammed Al Suwaidi, director general of the GCAA, confirmed that it is the UAE's strategy to explore new technologies and applications in the aviation industry. "We look forward to working with Searidge and believe this collaboration will help advance the use of technology in aviation to optimize safety and efficiency in the UAE and around the globe. The MoU agreement will promote, develop and reinforce administrative, technical and scientific cooperation," added Ahmed Al Jallaf, assistant director general Air Navigation Services, GCAA.

About half of enterprises are using some form of artificial intelligence (AI), mostly in their off-the-shelf IT automation software--but that doesn't mean they are doing it right, analysts from IDC said. Artificial intelligence, which some companies may call cognitive software or machine learning, goes back to research on chess-playing computers of the 1950s; now it's best known for powering virtual assistants through your smart device. AI really earns its keep by helping IT staff keep their information infrastructure running. IDC analysts Peter Rutten and Ritu Jyoti talked with TechRepublic about how to do AI right. AI is hype... we're trying to be as realistic and empirical as possible about it," said Rutten, who covers the hardware side. The combined market for AI servers containing technology such as application-specific chips, field-programmable chips, graphical processing units, and processors with hundreds of cores will be $22 billion by the year 2022," he said.

Ford CTO Ken Washington today announced that the automaker will create a robotics and AI research team to explore AI beyond autonomous cars. "This is the next step in Ford's automation story," Washington said. "Ford is poised to drive into the future by expanding automation of mobility products and services." The team to focus on AI and robotic research and development is being created, Washington said, because Argo.ai now leads development of Ford's first generation of self-driving vehicles. Last summer, Ford announced plans to double its Silicon Valley footprint and said it plans to mass produce self-driving cars without steering wheels by 2021.