USM Business Systems

  The Internet of Things is the next significant development in financial services (IoT). A network of online gadgets that can receive and send data is known as the Internet of Things. The Internet of Things is an autonomous network of interconnected objects that can optimize processes, lower costs, boost output, and enhance quality of life. The client experience in the banking industry is evolving as a result of the Internet of Things and downstream hotspots. The Internet has changed over the past few decades from being a collection of papers or linked hypertext to a network of things, people, apps, and gadgets. Read More: Artificial intelligence in banking sector Using IoT in Banking Banks all around the world are attempting to use the Internet of Things' potential to draw new clients to their industry. Mobile banking apps, now used by most of the world's banks, use sensors to help track customer preferences, taking financial service providers to the next level. Below are so...

  Supply chain and logistics are critical in every industry and given the amount of data generated by logistics, supply chain and transportation, are steadily gaining attention from various AI startups and vendors. Artificial intelligence provides various techniques to analyze huge amounts of data collected from supply chain and logistics and derive actionable insights that can enable processes and complex functions.  Regardless of techniques and tools, these are two core functionalities that must be achieved by any AI technology Augmentation: Augmentation, basically, reduces errors caused by human bias. It helps humans in their daily tasks, without having full control over the outcome. Virtual assistants are the best examples of growth. Automation: Automation refers to the use of machines to perform tasks without the need for human intervention. Robots performing critical steps in a manufacturing plant is the best example of automation. Read More: Best IOT apps for iPhone fo...

  Natural Language Processing techniques, a subset of Artificial Intelligence, are increasingly in need by improving their sub-technologies on a daily basis. Language is the main source of communication and interaction. Without language communication is not possible, and without communication it is not possible to complete the process. This is another factor contributing to Natural Language Processing's expanding involvement in various fields. The application of Natural Language Processing (NLP) is also broadening the scope of other fields. The hybrid approach using a mix of supervised and unsupervised learning, supported by deep learning and reinforcement learning models, has shown significant improvement in accuracy and reliability in many different applications. The domains of Importance of Natural Language Processing have expanded rapidly. It is gaining popularity in voice-controlled automation, education, healthcare, and to a large extent in business applications. Computer vi...

  Advanced artificial intelligence is an elusive term. The moment we achieve something that we find difficult to grasp, we no longer consider it advanced or intelligent. The days when chess-playing computers were regarded as the pinnacle of AI are long gone. Today the term "advanced AI" evokes a highly humanoid image of a conversational robot like Sofia the Robot. However, in reality, most of AI is only used to complement human intelligence. The following are some examples of how cutting-edge AI technologies can be used to solve the world's most pressing problems. While artificial intelligence is a broad term used to encompass a variety of sub-domains, machine learning is one of them. We'll talk about some of the best instances of artificial intelligence in daily life throughout this post. Read More: Best Facial Recognition Apps currently available on iOS and Android 1. Unlock your phone with Face ID With the launch of the iPhone X, Apple introduced a radical way to u...