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Robotic Process Automation: How to Automate and Achieve Efficiency with Automation Anywhere?

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Nowadays, no business wants to spend time, effort and cost to do repetitive tasks that can be automated. There is a constant search for technology to handle these repetitive actions with minimal time and maximum accuracy. Also, competition has forced companies to transform and innovate faster than before. According to Grand View Research, USD 1.1 billion was the value of the global Robotic Process Automation (RPA) market in 2019. From 2020 to 2027, this market is expected to grow at a CAGR of 33.6%, and this indicates the rapid adoption of RPA by modern enterprises in the future.


Reality Defender Can Protect Us From Deep Fakes Using AI

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We imagined computers that would be able to think. They would be able to make decisions using better knowledge and data than we have, and make those decisions faster than we ever could. Machines are able to perform very complicated tasks now, facial recognition is an example. We've always been comfortable with machines performing manual repetitive tasks. We've taken full advantage of the technology to make banking and financial transactions quicker and easier for customers.


8 Myths About AI in the Workplace

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Although artificial intelligence has been around for a while, it was always thought of as something that is in the early stages of development, and that it would take decades before we could make it work to our advantage. In other words, it was the stuff we would usually see in sci-fi movies. However, artificial intelligence has made some huge leaps, and it's definitely here to stay if we were to look at the numbers. According to research, the artificial intelligence market is set to reach $266.92 billion by 2027, which is nearly ten times more than the $27.23 billion that it was worth in 2019. Furthermore, according to recent surveys, 91.5% of top businesses have stated that they are currently investing in AI.


Business Process Automation Trends 2021

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As 2020 is slowly drawing to a close, it is time to discuss future trends in (industrial) automation that are likely to have a significant impact in 2021. Based on the current facts, conclusions can be drawn that artificial intelligence and automation will bring steady innovation for companies of all sizes and from all sectors. During 2020, automation technologies have experienced a substantial boom especially due to the covid19 pandemic. Industrial and manufacturing operations have been massively evolved with the integration of machine learning and robotics. In fact, companies and industries are no longer fully dependent on a human workforce for simple, complex, manual, and repetitive tasks.


AutoML is the Future of Machine Learning

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AutoML (automated machine learning) is an active area of research in academia and the industry. The cloud vendors promote some or the other form of AutoML services. Likewise, Tech unicorns also offer various AutoML services for its platform users. Additionally, many different open source projects are available, offering exciting new approaches. The growing desire to gain business value from artificial intelligence (AI) has created a gap between the demand for data science expertise and the supply of data scientist.


Build a virtual support employee chatbot to support your firm attorneys

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Is the cheer and mirth of the work from home transition beginning to fade away because of the lack of support system you once enjoyed at the office? When could you simply ask for a file, a case note, case research, and stay on top of all the matters all day long simply by interacting with your interns, paralegals, staff, or associates? Well, it certainly would have been great if you could get an exclusive resource to help with those valuable yet mundane repetitive tasks of passing along the information to clients, generating quick templates, or imagine if someone could address all those common concerns of the clients at odd hours, so you could give your undivided attention to the important legal issues that need your expert inputs! After all, there are things the sentient beings will always be better at, whether it be advocacy or being business leaders with a legal perspective. However, artificial beings can certainly take a load of all those tasks off your shoulders that take you less than one second of thought.


Human Skills Will Be Most Important In The Digital Future Of Work

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As many of us have moved to working from home and many companies have decided to keep remote working ... [ ] as a permanent option, the future of jobs looks like it will be increasingly digital but also increasingly focused on wellbeing and self-management. Human skills, not technology alone, will help us through the'double-disruption' of Covid and automation. A new report by the World Economic Forum (WEF) on the Future of Jobs has highlighted the need to build on self-management and critical thinking skills, so that we can harness an increase in automation and an impending Covid-triggered recession to usher in a new wave of jobs that take advantage of both automation and human creativity and adaptability. As the pandemic has pushed many people into working remotely and using many different technologies to work and relax, the importance of wellbeing as well as the utility of technology have come into stark focus, and created a unique foundation on which to build new jobs and a new way of working. For many years, automation technologies have been changing how we work, by taking on more of the mundane, repetitive tasks that they are designed for.


AI and the future of work: Main changes to expect in the next years

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Artificial Intelligence (AI) is here to stay, and many people are not happy. After all, it is hard to embrace something that could displace about 40 per cent of human jobs in the next 15 years. In an interview for CBS's 60 minutes, Kai-Fu Lee (a Chinese AI expert) also mentioned truck drivers, chauffeurs, waiters, and chefs as some of the professions that will be disrupted. That right there must have hit a nerve. However, everything is about to change because this article highlights some of the reasons you should not fear AI. And even if you were to ask the experts, they would unwaveringly confirm that regardless of all the noise, AI is here to benefit us all.


RPA - 10 Powerful Examples in Enterprise - Algorithm-X Lab

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More and more enterprises are turning to a promising technology called RPA (robotic process automation) to become more productive and efficient. Successful implementation also helps to cut costs and reduce error rates. RPA can automate mundane and predictable tasks and processes leaving employees to focus more on high-value work. Other companies, see RPA as the next step before fully adopting intelligent automation technology such as machine learning and artificial intelligence. RPA is one of the fastest-growing sectors in the field of enterprise technology. In 2018 RPA software soared in value to $864 million, a growth of over 63%. In the course of this article, we clearly explain exactly what RPA really is and how it works. To help our understanding we will also explore the potential benefits and disadvantages of this technology. Finally, we will highlight some of the most powerful and exciting ways in which it is already transforming enterprises in a range of industries. Robotic Process Automation, or RPA for short, is a way of automating structured, repetitive, or rules-based tasks and processes. It has a number of different applications. Its tools can capture data, retrieve information, communicate with other digital systems and process transactions. Implementation can help to prevent human error, particularly when charged with completing long, repetitive tasks. It can also reduce labor costs. A report by Deloitte revealed that one large, commercial bank implemented RPA into 85 software bots. These were used to tackle 13 processes interacting with 1.5 million requests in a year.


Machine learning - it's all about the data

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When it comes to the construction industry machine learning means many things. However, at its core, it all comes back to one thing: data. The more data that is produced through telematics, the more advanced artificial intelligence (AI) becomes, due to it having more data to learn from. The more complex the data the better for AI, and as AI becomes more advanced its decision-making improves. This means that construction is becoming more efficient thanks to a loop where data and AI are feeding into each other.