Alexa\u27s Artificial Intelligence Paves the Way for Big Tech\u27s Entrance into the Health Care Industry -- The Benefits to Efficiency and Support of the Patient-Centric System Outweigh the Impact on Privacy

Time is the most valuable commodity bought and sold in our society. In the health care industry, time is always at a premium, and even in areas with a high concentration of physicians, patient needs are often unmet. With the rising popularity of artificial intelligence in private homes, the Big Five tech companies, Facebook, Amazon, Apple, Microsoft, and Google (FAAMG), are making strides to enter the health care industry and revolutionize it. Using Amazon’s partnership with electronic health record company, Cerner, this article will discuss how Big Five artificial intelligence technology will revolutionize the health care sector and create efficiency and greater access to health care. This article will also address future plans to fully integrate Alexa artificial intelligence technology into primary health care settings. There are many legitimate privacy concerns with integrating the always-listening artificial devices into sacred private spaces like the doctor’s office. The benefits of this systematic evolution of the health care sector, however, will outweigh the risks to privacy through improvements to efficiency, reductions to physical workload, and improved doctor-patient relationships. Society should support entry of artificial intelligence into health care and promote development of regulations as needed to mitigate concerns with how health data is stored and utilized. Ultimately, our existing health data privacy system is equipped to handle this AI integration. Ensuring FAAMG will not misuse data for advertising and granting the FTC the support it needs to enforce company policies will protect consumers

Innovative Approaches in Business Development Strategies Through Artificial Intelligence Technology

This study explores the key role of artificial intelligence (AI) in changing business development strategies in an era characterized by rapid technological progress. The goal of this research is to find innovative ways to integrate artificial intelligence into corporate operational structures to increase competitiveness and efficiency. Adopting a qualitative research design, this study conducts an in-depth analysis of the literature retrieved from Google Scholar using a systematic approach to presenting data reduction and drawing conclusions. Research shows that integrating AI into business strategy improves existing operations. It emerges as a catalyst for sophisticated data analytics that drive personalized customer experiences and improve decision-making. This study highlights the transformative potential of artificial intelligence to create dynamic business environments where predictive analytics and customer insights inform strategic decisions. A key innovation of this research is its focus on the symbiotic relationship between artificial intelligence and human decision-making. This indicates a paradigm shift in the formulation of business strategy where artificial intelligence becomes not just a tool but a strategic partner that complements human ingenuity. This approach highlights the importance of connecting AI capabilities with human insights to create innovative business strategies that are responsive and adaptable. In conclusion this study provides a comprehensive understanding of the transformative impact of artificial intelligence on business development strategies. It provides valuable insights for organizations looking to use AI for strategic advantage by highlighting the need for a balanced integration of technology and human expertise in an ever-changing business environment

Dictionary using Text Recognition for Mobile App

Dictionary is reference wellspring of words in a dialect or order, organized sequentially. Notwithstanding characterizing the words, bigger lexicons additionally give data on the spellings, elocution, word sources (historical background), capacities, and diverse types of the word. Through modern years, technology has rapidly grown to serve humanity with better goods, hence dictionary should also abide to the growth of the technology. E-dictionary or online dictionary has served well for past few years since the introduction of smartphone which led to another possibilities and remove limitations of old age dictionary. With an Artificial Intelligence (AI) making debut as a new trend in passing years, integrating the AI technology into dictionary is the purpose of this study. Although, e-dictionary has solved most of readers problem which is searching the words manually rather consuming times, the search function in most advance e-dictionary prompt to human error such as mistyping and consuming time and limitation of input of language (i.e. Japanese, Mandarin, Thai, Arabic etc.) hence, the development of new kind of dictionary which integrate the AI technology using Android platform to solve these problems. Android is preferred since almost half of the world is using smartphones powered by operating system called Android. Android SDK will be used to develop this application integrating with the Optical Character Recognition (OCR) technology, in other word is the AI technology in more specific term. Tesseract which is being maintained by Apache is the most accurate OCR software available. Integrating these two platforms is the challenge for this application. For translation note, Google Translate API will be used hence another integration will be done. Google Translate API is chosen since Google has updated several of languages at the time of this stud

Relation Discovery from Web Data for Competency Management

This paper describes a technique for automatically discovering associations between people and expertise from an analysis of very large data sources (including web pages, blogs and emails), using a family of algorithms that perform accurate named-entity recognition, assign different weights to terms according to an analysis of document structure, and access distances between terms in a document. My contribution is to add a social networking approach called BuddyFinder which relies on associations within a large enterprise-wide "buddy list" to help delimit the search space and also to provide a form of 'social triangulation' whereby the system can discover documents from your colleagues that contain pertinent information about you. This work has been influential in the information retrieval community generally, as it is the basis of a landmark system that achieved overall first place in every category in the Enterprise Search Track of TREC2006

Museum Experience Design: A Modern Storytelling Methodology

In this paper we propose a new direction for design, in the context of the theme “Next Digital Technologies in Arts and Culture”, by employing modern methods based on Interaction Design, Interactive Storytelling and Artificial Intelligence. Focusing on Cultural Heritage, we propose a new paradigm for Museum Experience Design, facilitating on the one hand traditional visual and multimedia communication and, on the other, a new type of interaction with artefacts, in the form of a Storytelling Experience. Museums are increasingly being transformed into hybrid spaces, where virtual (digital) information coexists with tangible artefacts. In this context, “Next Digital Technologies” play a new role, providing methods to increase cultural accessibility and enhance experience. Not only is the goal to convey stories hidden inside artefacts, as well as items or objects connected to them, but it is also to pave the way for the creation of new ones through an interactive museum experience that continues after the museum visit ends. Social sharing, in particular, can greatly increase the value of dissemination