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How Hyperautomation Can Transform Customer Onboarding?

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Organizations have been planning to undergo a digital transformation for some time, and the pandemic has only accelerated things. How we conduct business has evolved, and we now have a more sympathetic perspective on client service and experience. The technology industry has advanced dramatically, and several innovations are becoming incredibly well-liked. Hyperautomation is one of them that has drawn widespread attention. The use of digital technologies by small, medium, and large businesses alike has been dramatically expedited by the epidemic.


In the Garden of Hyperautomation

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Whether you're hip to it or not, conversational AI--which is really the sequencing of technologies like NLU/NLP, code-free programming, RPA, and machine learning inside of organizational ecosystems--has already begun reshaping the world at large. Lemonade, a tech- and user-centric insurance company is upending its industry by providing customers with a rewarding experience buying insurance that's facilitated by Maya, an intelligent digital worker described as "utterly charming" that can quickly connect dots and get customers insured. Maya is essentially an infinitely replicable agent that is always learning and doesn't make the same mistake twice. Compare that with whatever it costs Allstate to retain more than 12,000 agents in the US and Canada who are likely using outdated legacy systems and it's clear to see which way ROI is trending. Even bigger successes have been enjoyed by Ant Group (formerly Ant Financial) a nimble, Chinese financial giant that had surpassed the number of customers served by today's largest US banks by more than 10 times back at the start of 2020. Their IPO--which would have been the world's largest to date--collapsed after Chinese Communist Party leader Xi Jinping allegedly intervened. Subsequently, the company has broadened its scope past fintech to include sustainability and inclusive services (whatever those might be). Still, its core operations were built around a streamlined business structure that uses conversational AI to deliver meaningful experiences. While this kind of adoption of conversational AI in business settings is roundly expected to boom in the coming years, it will quickly seep into our daily lives as well, going beyond how we interact with the many companies in our lives and taking root in our interactions with all of the different technologies we regularly touch. I've always taken an interest in these topics, but like many cutting-edge things, they're hard to approach. Especially if you have no idea where to start. Especially if you don't have the expertise; the lexicon, the mindset, the lived experience. I'm a bit of an accidental Luddite, someone perpetually late to the party when it comes to the latest and greatest. Not to say that I'm completely unfamiliar with these things, just that integrating them into my work, and my life, is hard.


How industrial hyperautomation could transcend buzzword status - Smart Futures

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On the face of it, it's difficult to see why the idea of hyperautomation is especially relevant to industrial automation as it exists in the real world. But Neil Ballinger, general manager EMEA of replacement, reconditioned and obsolete automation parts EU Automation, believes there's an opportunity for early adopter businesses to outpace the rest. There are two worlds of automation. One is the conservative, day-to-day, pick-and-place, realm, where countless businesses still play. Here, the idea of automating a process with a robot or collecting some data from a machine to perform advanced analytics is still quite radical.


10 Artificial Intelligence Trends To Watch Out For In 2022

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What does the future hold with respect to artificial intelligence? In this day and age, you'd be hard pressed to find any sector of the economy where artificial intelligence hasn't yet set foot. In fact, AI is so integrated into our daily lives that most don't even notice it. One sector experiencing fast pace AI adoption is the retail industry. In a recent report by Fortune Business Insights, 80% of business executives claimed that their businesses will integrate artificial intelligence into their products and services lines between 2020 and 2027. So what are some of the trending applications of AI in 2021 that we should look out for? In this article, we are going to look at the top 10 trends in AI that will characterize the year 2021 that I derived from these 80 AI & ML expert predictions.


What is hyperautomation and how does it work?

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Hyperautomation is a strategic technology trend that has gained massive adoption with several businesses due to its end-to-end mode of automation. Its approach allows businesses to optimize and integrate processes at larger scales to improve performance and ensure maximum productivity. According to Gartner's Top 10 Strategic Technologies in 2020 and 2021, hyperautomation does not only describe a new technology, it also dictates a new form of company growth because it takes a holistic approach of automation that introduces new possibilities into every business department. Hyperautomation focuses on optimizing business processes through a studied approach by identifying, assessing and automating workflows using an advanced set of technologies. It is based on a framework of tools and technologies, most of which continue to evolve to accommodate enterprise scaling processes.


Visual inspection automation using Amazon SageMaker JumpStart

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According to Gartner, hyperautomation is the number one trend in 2022 and will continue advancing in future. One of the main barriers to hyperautomation is in areas where we're still struggling to reduce human involvement. Intelligent systems have a hard time matching human visual recognition abilities, despite great advancements in deep learning in computer vision. This is mainly due to the lack of annotated data (or when data is sparse) and in areas such as quality control, where trained human eyes still dominate. Another reason is the feasibility of human access in all areas of the product supply chain, such as quality control inspection on the production line.


AI is driving 'hyperautomation' and autonomous factory systems

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We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Many are familiar with the idea of factory automation, but what about'hyperautomation'? And, how about the rise of autonomous factories, with systems that make their own decisions about things like quality control and line speed? Both concepts, driven by artificial intelligence (AI) technologies, are coming soon to manufacturers, and are being closely tracked by many industry watchers. They're also both expected to revolutionize how factories function.


Tray.io Cracks the Code on Hyperautomation for the Enterprise

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Tray.io, the leader in low-code automation and integration, announced new capabilities designed to accelerate enterprise hyperautomation initiatives. Tray.io is extending end-to-end connectivity across user types with Connector Builder where low-code developers can quickly, easily, and visually develop reusable connectors on demand. Additionally, a new Connectivity API experience for developers simplifies the integration of thousands of underlying endpoints into just three API calls. The company also introduced new frameworks and features that give users the ability to build complex integrations across teams with the speed and governance required to increase enterprise velocity at scale. The number of APIs is growing at a conservative estimate of 10% annually and is expected to reach more than 300 million by 2030.


How to Achieve Digital Transformation Goals with Hyperautomation

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Are you an IT leader feeling stuck in your digital transformation goals? One of the most challenging questions in digital transformation is how to go from vision to execution. You may not be as far behind as you think. You simply need to adopt a better approach. One approach that will make the whole process easier for you to achieve your digital transformation goals is called hyperautomation.


Automation is at the heart of digital business transformation

ZDNet

Afshar is the author of The Pursuit of Social Business Excellence. Automation is at heart of digital business transformation. Researchers from MuleSoft identified 7 key digital transformation trends that will shape the future of work in 2022 and beyond. One trend, hyperautomation, could be the key to unlocking digital value. Hyperautomation can increase productivity, accelerate time‑to‑market, and transform employee and customer experiences in a hybrid and connected work environment.