Automation benefits, such as efficiency and productivity gains and improved customer and employee experience at lower cost, are globally valid and understood. But there are significant differences in adoption speed and intensity of software-based automation technologies across Europe compared to the Americas and Asia Pacific. Software-based automation technologies include robotic process automation, digital process automation tools, digital decisioning platforms, and low-code application platforms as well as purely AI-driven automation tools. Biased AI taking decisions that discriminate people or treat them unequally. The EU's supranational as well as national governments' pandemic recovery programs aimed at keeping the current workforce untouched.
Automation and artificial intelligence are poised to free up millions of hours of manpower and save billions of dollars across all levels of government, according to a recent report from Deloitte University Press. The 28-page report, titled AI-augmented Government, examines several case studies, provides a taxonomy of AI systems, and concludes that in the federal government alone, automation with "high investment" could free up as many as 1.2 billion hours of work and save up to $41.1 billion annually. Through the use of rules-based systems, machine translation, computer vision, machine learning, robotics and natural language processing, the report notes the unusual but "tantalizing" paradigm presented by AI in which speed is increased, quality is improved, and cost is reduced -- all in parallel. Researchers said they identified a potential 30 percent savings in government worker time that could happen within five to seven years of implementing an AI solution. The report concludes that AI will fundamentally change how every level of government works, and will do so much sooner than most people believe.
Automation has been used for decades in a wide range of industries to boost efficiency and productivity, reduce waste and ensure quality and safety. Emerging technologies such as Artificial Intelligence (AI), Natural Language Processing (NLP) and big data analytics are now being combined with automation, to deal with more complex problems and bring further improvements to business processes. This convergence of automation and intelligence is known as hyper automation. Also known as cognitive or smart automation, hyper automation is at the forefront of the 4th Industrial Revolution and is gradually making its way into every aspect of business, delivering unprecedented results. There are a number of factors driving the adoption of hyper automation among enterprises, including the ability to improve operational and service performance.
AI (Artificial Intelligence) has been around for a while now. AI is gradually becoming a part of our daily lives, from fast recommendations on search engines and auto-focus in smartphones to robot attendants at office buildings and so on. AI has a lot of room for creativity and growth, and it will proceed to change the world in a variety of ways in the future. Many businesses are turning to artificial intelligence (AI) technology to reduce expenses, boost productivity, increase sales, and maximize customer support. Businesses should consider incorporating the full adoption of smart technologies into their operations and goods for the best results, such as machine learning, natural language processing, and more.
SAN JOSE, CALIFORNIA: The technology market has passed the tipping point with more than half of organisations today having adopted intelligent automation, as Robotic Process Automation (RPA) and Artificial Intelligence (AI) shift from emerging technologies to mainstream business solutions, according to a new analyst report by Futurum Research, commissioned by Automation Anywhere, an automation technology firm. The'Report for the State of RPA and Smart Automation' interviewed more than 1,000 business executives in North America and found that while 75.3% believe automation will make them more competitive, significant disparities exist between industries – with public sector and, surprisingly, technology companies lagging significantly when it comes to adoption. While more than half of businesses in North America have already implemented some type of automation solution, such as RPA and AI, the research uncovered notable differences between industries. For instance, nearly 9 out of 10 manufacturing organisations have already adopted some form of intelligent automation, compared to less than 3 in 10 public sector organisations. Despite these identified barriers to overcome, 9 in 10 organisations that have not yet implemented RPA and AI-based automation solutions report having sufficient internal technical competencies to do so, showing that technical implementation is no longer a significant hurdle for most organisations.