Intelligent Automation is a combination of artificial intelligence (AI) and robotic process automation (RPA).
AI enables insight-driven analytics, decision-making and personnel management while RPA automates processes and reduces human participation in them. It is a joint implementation of bots and software intelligence in the production process to assist people in creating new products and services. It combines a variety of strategies, skills, tools and techniques that eliminate the need for labor, improve the predictability and reliability of services and reduce costs.
Implementation of Intelligent Automation
Intelligent automation systems can be implemented in almost every industrial sector. Advanced techniques and great computing capacity create a new generation of hardware and software robots that perform both cognitive and physical tasks. They not only process large amounts of information but also analyze it, detect inconsistencies, check for accuracy, learn in the process of work, adapt to change and make decisions. Even though the final decision making is still the responsibility of the human operator but IA software also does a lot of the work.
IA in Commerce
IA is an efficient way to increase sales, increase customer engagement and reduce costs, which is why many retailers invest in it. Annual spending for AI is projected to reach US$7.3 billion by 2022.
Indeed, smart automation provides a wide range of tools and techniques that provide great benefits. A personalized brand experience is more important than ever. AI enables it by digesting large amounts of data about customer journeys through chatbots, virtual sales assistants and recommendation engines. Other than that, smart algorithms can detect signs of fraudulent operations, allowing companies to block malicious behavior immediately.
IA in Manufacturing
IA has sparked an industrial revolution that has brought about drastic changes in processes and environments that rely on cyber-physical and cognitive systems. The system is inspired by the latest technological advances, such as AI, ML, IoT, robotics, autonomous vehicles, 3D printing, AR and VR, wearables, additive manufacturing, nanotechnology, biotechnology, energy storage and quantum computing.
As a result, physical and digital robots powered by advanced technology and intelligent automation tools can perform many operations, replacing or augmenting humans. The factory floor has turned into a dark or unlit premise where human participation is not required.
IA in Insurance
Insurance service providers can automate data management and rate calculations by suing IA. IA solutions help insurance companies deal with problems such as manual entry of big data, low process scalability and poor time effectiveness.
IA in Healthcare
Healthcare providers are among the key users of IA solutions that use both artificial intelligence and RPA extensively. With RPA, medical institutions streamline repetitive processes connected with accurate and patterned data retrieval, processing and decision-making, creating a new era of more efficient evidence-based care.
The results are based on facts and figures obtained, and not based on the experience and knowledge of doctors alone. The ability of AI to process large amounts of data quickly and effectively assists in the creation of reliable diagnoses that take into account symptoms and secondary conditions.
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