Challenges in Commercial Deployment of AI IBM Watson Quy Huy Timo Vuori Tero Ojanpera Lisa S Duke 2023

Challenges in Commercial Deployment of AI IBM Watson Quy Huy Timo Vuori Tero Ojanpera Lisa S Duke 2023

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AI (Artificial Intelligence) is making waves in the commercial world. But with its rapid adoption, there are challenges that arise, including technical difficulties and concerns over privacy and security. While IBM Watson was initially marketed as a healthcare solution, it is now being applied to a variety of industries, including retail, banking, and even agriculture. In retail, the use of chatbots and virtual assistants is expanding, with customers now conducting transactions using virtual assistants on their smartphones. However,

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AI has transformed various sectors of the business world in recent years, providing businesses with new insights, improved decision-making, and new opportunities for innovation. However, the commercial deployment of AI is still far from perfect, as several significant challenges exist, such as security and data privacy. The commercial deployment of AI is not perfect due to several challenges, one of which is security and data privacy. Security is a critical challenge as organizations must ensure that their systems are secure and that any personal data they collect is properly protected from unauthorized

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IBM Watson, an artificial intelligence (AI) platform, has captured the imagination of many in recent years. It is considered the “best of IBM” because of its multitasking capabilities, with machine learning, natural language processing, and cognitive computing. i thought about this This technology has great potential for businesses and has been developed in conjunction with various industries, including healthcare, finance, and e-commerce. have a peek at these guys The aim of this paper is to discuss the challenges faced by IBM Watson in commercial deployment. The challenges are classified into two categories: implementation and integration challeng

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In a highly competitive market, AI has emerged as a key solution that enables enterprises to transform their business operations while creating new revenue opportunities. AI solutions aimed at improving decision-making and optimizing processes have become the norm for businesses around the world. IBM Watson is one of the industry leaders in AI. The solution has become the backbone for the IBM Global Business Service (GBS) platform and many other industries. The success story behind the IBM Watson business services is a perfect example of the effectiveness of AI for solving complex

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“Challenges in Commercial Deployment of AI IBM Watson Quy Huy Timo Vuori Tero Ojanpera Lisa S Duke 2023” is a case study assignment. In 2023, IBM Watson’s Quy Huy and Timo Vuori, a team member from Finland, worked with Professor Lisa S. Duke (Dean of Duke University) and researchers at the Duke University Center for Interactive Systems Technology. The team was developing a new research prototype: “An Autonomous Dual

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AI (Artificial Intelligence) has emerged as a game changer, bringing significant changes in various industries. IBM’s AI, Watson, is considered a revolutionary technology, and its commercial deployment has become challenging for many organizations. This article presents the potential and potential risks in the commercial deployment of AI IBM Watson for several industries. AI has made tremendous progress in recent years and has significant potential to revolutionize the market. It is transforming the way companies make decisions, operate and provide services. IBM, one of the pioneers