scholarly journals Towards an Intelligent Personalized Persuasive Conversational System for Human Interaction on Divining the Future Event and Assisting by Using Artificial Intelligence

2021 ◽  
Vol 9 (VII) ◽  
pp. 2119-2121
Author(s):  
Sweta Sharma
Keyword(s):  
Artificial Intelligence ◽  
Statistical Models ◽  
Intimate Relationship ◽  
Human Interaction ◽  
Markup Language ◽  
Future Event ◽  
Self Reflection ◽  
The World ◽  
The Future ◽  
Extensible Markup

In the next wave of insurgence, humans may endeavour self-reflection which can lead to an effortless talk and to find out if an event will fructify. Training the system on how to make accurate prognostication with the help of machine learning and statistical models can lead to an intelligent personalized conversational system. The Chatbot industry is ever-growing and after the COVID-19 pandemic and rigorous lockdowns all around the world, people have realized the importance of human interaction in their lives. We are developing this model to create a more intimate relationship between the system and humans. For this purpose, many open-source platforms are available. Artificial Intelligence Markup Language (AIML) is derived from Extensible Markup Language (XML) which is used to build up a conversational agent artificially. The success of this project will help the model in observing and understanding human emotions which will ultimately help it to form a more personalized relationship to delineate the future course of events.

scholarly journals Towards an Intelligent Personalized Persuasive Conversational System for Human Interaction on Divining the Future Event and Assisting by Using Artificial Intelligence

2021 ◽  
Author(s):  
Sweta Sharma ◽  
Saumya Pathak ◽  
Saumya Srivastava
Keyword(s):  
Artificial Intelligence ◽  
Statistical Models ◽  
Intimate Relationship ◽  
Human Interaction ◽  
Markup Language ◽  
Future Event ◽  
Self Reflection ◽  
The World ◽  
The Future ◽  
Extensible Markup

In the next wave of insurgence, humans may endeavour self-reflection which can lead to an effortless talk and to find out if an event will fructify. Training the system on how to make accurate prognostication with the help of machine learning and statistical models can lead to an intelligent personalized conversational system. The Chatbot industry is ever-growing and after the COVID-19 pandemic and rigorous lockdowns all around the world, people have realized the importance of human interaction in their lives. We are developing this model to create a more intimate relationship between the system and humans. For this purpose, many open-source platforms are available. Artificial Intelligence Markup Language (AIML) is derived from Extensible Markup Language (XML) which is used to build up a conversational agent artificially. The success of this project will help the model in observing and understanding human emotions which will ultimately help it to form a more personalized relationship to delineate the future course of events.

scholarly journals Towards an Intelligent Personalized Persuasive Conversational System for Human Interaction on Divining the Future Event and Assisting by Using Artificial Intelligence

2021 ◽  
Author(s):  
Sweta Sharma ◽  
Saumya Pathak ◽  
Saumya Srivastava
Keyword(s):  
Artificial Intelligence ◽  
Statistical Models ◽  
Intimate Relationship ◽  
Human Interaction ◽  
Markup Language ◽  
Future Event ◽  
Self Reflection ◽  
The World ◽  
The Future ◽  
Extensible Markup

In the next wave of insurgence, humans may endeavour self-reflection which can lead to an effortless talk and to find out if an event will fructify. Training the system on how to make accurate prognostication with the help of machine learning and statistical models can lead to an intelligent personalized conversational system. The Chatbot industry is ever-growing and after the COVID-19 pandemic and rigorous lockdowns all around the world, people have realized the importance of human interaction in their lives. We are developing this model to create a more intimate relationship between the system and humans. For this purpose, many open-source platforms are available. Artificial Intelligence Markup Language (AIML) is derived from Extensible Markup Language (XML) which is used to build up a conversational agent artificially. The success of this project will help the model in observing and understanding human emotions which will ultimately help it to form a more personalized relationship to delineate the future course of events.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models

2018 ◽  
Vol 61 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Massimo Garbuio ◽  
Nidthida Lin
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Business Model ◽  
Value Creation ◽  
Critical Analysis ◽  
Business Models ◽  
Health Conditions ◽  
The World ◽  
The Future

The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.

An Introduction to XBRL through the Use of Research and Technical Assignments

2006 ◽  
Vol 20 (1) ◽  
pp. 161-185 ◽  
Author(s):  
Stephanie M. Farewell
Keyword(s):  
Significant Role ◽  
The Other ◽  
Extensible Markup Language ◽  
Markup Language ◽  
Basic Skill ◽  
Reading Research ◽  
Business Reporting ◽  
Basic Understanding ◽  
The Future ◽  
Extensible Markup

This project is designed to facilitate an understanding of eXtensible Business Reporting Language (XBRL). The materials are structured so that each can be used independently of the other components. The materials consist of a reading, research assignments, and two technical assignments. The reading is written to provide a background on XBRL. After obtaining a basic understanding of XBRL, research and technical assignments are used to increase the student's skill-set. The research assignments look at the evolution of XBRL. The first technical assignment modifies and styles eXtensible Markup Language (XML) tagged data. In the second technical assignment an industry extension is developed to the promulgated Commercial and Industrial (C-I) taxonomy. The second technical assignment concludes with the creation of an instance document and viewing of the instance document with a style sheet. Through an understanding of XBRL, students will possess an important basic skill-set for a technology that will likely play a significant role in the future of accounting. In addition, they should have an appreciation for the purpose of XBRL, including the nature of the technology and the inherent challenges.

Disruptions of the Fourth Industrial Revolution

2021 ◽  
pp. 189-199
Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Industrial Revolution ◽  
Technological Innovations ◽  
Fourth Industrial Revolution ◽  
Skill Gaps ◽  
The World ◽  
The Future ◽  
The Impact ◽  
And Robotics

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.

Artificial Intelligence and Its Applications in Agriculture With the Future of Smart Agriculture Techniques

2021 ◽  
pp. 25-39
Author(s):  
Harshit Bhardwaj ◽  
Pradeep Tomar ◽  
Aditi Sakalle ◽  
Uttam Sharma
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Food Supply ◽  
Food Supply Chain ◽  
Wide Range ◽  
The World ◽  
The Future ◽  
Entire Society ◽  
Smart Agriculture ◽  
Growing Conditions

Agriculture is the oldest and most dynamic occupation throughout the world. Since the population of world is always increasing and land is becoming rare, there evolves an urgent need for the entire society to think inventive and to find new affective solutions to farm, using less land to produce extra crops and growing the productivity and yield of those farmed acres. Agriculture is now turning to artificial intelligence (AI) technology worldwide to help yield healthier crops, track soil, manage pests, growing conditions, coordinate farmers' data, help with the workload, and advance a wide range of agricultural tasks across the entire food supply chain.

Re-imagining the Future of Happiness at the Workplace

2020 ◽  
Vol 13 (4) ◽  
pp. 487-494
Author(s):  
Anuradha
Keyword(s):  
Artificial Intelligence ◽  
Life Satisfaction ◽  
Job Performance ◽  
Middle Managers ◽  
Well Being ◽  
Intimate Relationship ◽  
Vital Role ◽  
Policy Changes ◽  
Hrm Practices ◽  
The Future

The future of work is likely to usher in dramatic changes in the form and substance of the employment contract. Technology, artificial intelligence, automation, policy changes and evolving labour market are few factors playing a vital role in workplace transformation. It is important that organisations emphasise civility in engaging with employees in the workplace to enable them to feel happy as happier people are more productive. In order to shape a happy workforce in the future, leaders, particularly, middle managers need to reinforce the spirit of well-being-oriented human resource management (HRM) practices. Organisations need to engage with employees outside the domain of work as well, as life satisfaction constitutes an important factor in determining job performance. Finally, in order to structure a happy workforce in the future, employers need to recognise that business and ethics have an intimate relationship with each other and cannot be seen as separable.

scholarly journals The Globalization of Crystallographic Knowledge

1998 ◽  
Vol 54 (6) ◽  
pp. 1065-1070 ◽  
Author(s):  
Peter Murray-Rust
Keyword(s):  
World Wide ◽  
Distributed Databases ◽  
Quality Data ◽  
Markup Language ◽  
High Quality ◽  
High Quality Data ◽  
The World ◽  
Extensible Markup ◽  
Structured Documents ◽  
New Generation

The rapid growth of the World Wide Web provides major new opportunities for distributed databases, especially in macromolecular science. A new generation of technology, based on structured documents (SD), is being developed which will integrate documents and data in a seamless manner. This offers experimentalists the chance to publish and archive high-quality data from any discipline. Data and documents from different disciplines can be combined and searched using technology such as eXtensible Markup Language (XML) and its associated support for hypermedia (XLL), metadata (RDF) and stylesheets (XSL). Opportunities in crystallography and related disciplines are described.

scholarly journals Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation

2021 ◽  
Author(s):  
Andreas Fügener ◽  
Jörn Grahl ◽  
Alok Gupta ◽  
Wolfgang Ketter
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Work ◽  
Work Environments ◽  
The Other ◽  
Business Organizations ◽  
Human Capabilities ◽  
Work Arrangements ◽  
Other Hand ◽  
The World ◽  
The Future

A consensus is beginning to emerge that the next phase of artificial intelligence (AI) induction in business organizations will require humans to work with AI in a variety of work arrangements. This article explores the issues related to human capabilities to work with AI. A key to working in many work arrangements is the ability to delegate work to entities that can do them most efficiently. Modern AI can do a remarkable job of efficient delegation to humans because it knows what it knows well and what it does not. Humans, on the other hand, are poor judges of their metaknowledge and are not good at delegating knowledge work to AI—this might prove to be a big stumbling block to create work environments where humans and AI work together. Humans have often created machines to serve them. The sentiment is perhaps exemplified by Oscar Wilde’s statement that “civilization requires slaves…. Human slavery is wrong, insecure and demoralizing. On mechanical slavery, on the slavery of the machine, the future of the world depends.” However, the time has come when humans might switch roles with machines. Our study highlights capabilities that humans need to effectively work with AI and still be in control rather than just being directed.

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