USM Business Systems

  Media and entertainment are early adopters of modern technology, embracing the digital revolution and taking advantage of ever-evolving technology to produce better content, enhance the user experience, and build a strong brand presence. One of the ways the media and entertainment industry has evolved to embrace the digital revolution is by integrating data-driven insights to understand modern consumer-centric markets and adapt their operating practices to improve the user experience. As a result, Applications of artificial intelligence (AI) in media and entertainment have popularized tools like predictive analytics, recommendation engines, customer journey mapping, and audience segmentation. The increasing use of AI in media and entertainment , gaming, fake story detection, plagiarism detection, personalization, production planning and management, sales and marketing, talent identification, and other industries is helping AI advance in the media and entertainment industries aro...

We are all well aware that computers are now an integral part of our lives. Today, technology has advanced so much that a computer can perform tasks like humans and even have a high success rate in doing so. All this is possible thanks to Artificial Intelligence. Artificial intelligence (AI) is the field of technology that enables machines to automatically perform tasks that would otherwise require human intelligence. AI is a huge spectrum in the field of computing and is developed and programmed through machine learning automation and deep learning. AI is used in many fields for day-to-day application which makes our life easier than before. The Business world is one of those fields where Artificial Intelligence is widely used. AI can help any business in three fields: automating business processes, gaining insight through data analysis, and interacting with customers and employees. The 8 Best Artificial Intelligence Applications in Business Whether using artificial intelligence as a...

  Today it's all about text and voice data. It can be a news feed, social media posts, the free text format on web pages, and emails. To derive meaning from this data, many systems have created additional functions with our language. These systems are based on Natural Language Processing in AI (NLP), combining computational linguistics and AI. The best examples of NLP are Siri from Apple, Cortana from Microsoft, and Ok, Google from Google. This specifies the ability of NLP-based mobile devices to understand human language. What is Natural Language Processing? The development of new technologies (artificial intelligence and machine learning) has meant that machines can analyze and process the large amount of data provided in a short space of time. Some AI technologies even help systems learn on their own and "think" similarly to the human brain. To some extent, apps like Siri and smartphone text autocorrect have this capability. All of these solutions use Natural Language...

  Machine vision solutions have the power to optimize your omnichannel sales strategy. In doing so, they not only serve as convenient apps that customers can love, but also provide a wealth of actionable analytics that your business could take advantage of. Armed with a variety of detailed data insights, you can increase profitable sales, improve your operations, reduce shrinkage, enhance security, and manage your store in real time. How is Computer Vision transforming the retail industry? Computer vision enables retailers to build customer loyalty through a better in-store experience. You can speed up the checkout process by analyzing customer buying habits. Data obtained from computer vision can be used to optimize the layout of store shelves to expedite purchases. It is also a solution of choice for improving self-service in stores and can help prevent fraud and theft. Automated visual inspection installed in the aisles and at the checkout will detect thieves faster than current...