10 The future with AI and AI in action
-
Abhisek Sethy
Abstract
The future of artificial intelligence (AI) is bright and filled with possibilities. AI has the potential to revolutionize many areas, including medicine, finance, customer service, and transportation. It can help create more efficient systems, enhance decision-making, and ultimately improve people’s lives. With increased computing power and faster networks, AI can become more sophisticated. Eventually, AI could be used to automate mundane and labor-intensive tasks such as filing paperwork or scheduling meetings. AI can also help identify new opportunities for businesses and increase their competitiveness. For example, AI can be used for data mining to allow organizations to make more informed decisions. The AI can be used to create more realistic simulations and virtual environments to help with the development of products, software, and autonomous cars. In the future, AI might even be able to take on more complex tasks such as visual recognition, language translation, and natural language processing. Ultimately, AI will play an increasingly important role in how businesses operate and how people interact with each other. As AI technology evolves, so too will its applications in the future.
Abstract
The future of artificial intelligence (AI) is bright and filled with possibilities. AI has the potential to revolutionize many areas, including medicine, finance, customer service, and transportation. It can help create more efficient systems, enhance decision-making, and ultimately improve people’s lives. With increased computing power and faster networks, AI can become more sophisticated. Eventually, AI could be used to automate mundane and labor-intensive tasks such as filing paperwork or scheduling meetings. AI can also help identify new opportunities for businesses and increase their competitiveness. For example, AI can be used for data mining to allow organizations to make more informed decisions. The AI can be used to create more realistic simulations and virtual environments to help with the development of products, software, and autonomous cars. In the future, AI might even be able to take on more complex tasks such as visual recognition, language translation, and natural language processing. Ultimately, AI will play an increasingly important role in how businesses operate and how people interact with each other. As AI technology evolves, so too will its applications in the future.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of authors IX
- About the editors XIII
- 1 Introduction to artificial intelligence 1
- 2 AI technologies, tools, and industrial use cases 21
- 3 Classification and regression algorithms 53
- 4 Clustering and association algorithm 87
- 5 Reinforcement learning 109
- 6 Evaluation of AI model performance 125
- 7 Methods of cross-validation and bootstrapping 145
- 8 Meta-learning through ensemble approach: bagging, boosting, and random forest strategies 167
- 9 AI: issues, concerns, and ethical considerations 189
- 10 The future with AI and AI in action 213
- 11 A survey of AI in industry: from basic concepts to industrial and business applications 233
- 12 The intelligent implications of artificial intelligence-driven decision-making in business management 251
- 13 An innovative analysis of AI-powered automation techniques for business management 269
- 14 The smart and secured AI-powered strategies for optimizing processes in multi-vendor business applications 287
- 15 Utilizing AI technologies to enhance e-commerce business operations 309
- 16 Exploring the potential of artificial intelligence in wireless sensor networks 331
- 17 Exploring artificial intelligence techniques for enhanced sentiment analysis through data mining 345
- 18 Exploring the potential of artificial intelligence for automated sentiment 361
- 19 A novel blockchain-based artificial intelligence application for healthcare automation 373
- 20 Enhancing industrial efficiency with AI-enabled blockchain-based solutions 387
- Index 401
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of authors IX
- About the editors XIII
- 1 Introduction to artificial intelligence 1
- 2 AI technologies, tools, and industrial use cases 21
- 3 Classification and regression algorithms 53
- 4 Clustering and association algorithm 87
- 5 Reinforcement learning 109
- 6 Evaluation of AI model performance 125
- 7 Methods of cross-validation and bootstrapping 145
- 8 Meta-learning through ensemble approach: bagging, boosting, and random forest strategies 167
- 9 AI: issues, concerns, and ethical considerations 189
- 10 The future with AI and AI in action 213
- 11 A survey of AI in industry: from basic concepts to industrial and business applications 233
- 12 The intelligent implications of artificial intelligence-driven decision-making in business management 251
- 13 An innovative analysis of AI-powered automation techniques for business management 269
- 14 The smart and secured AI-powered strategies for optimizing processes in multi-vendor business applications 287
- 15 Utilizing AI technologies to enhance e-commerce business operations 309
- 16 Exploring the potential of artificial intelligence in wireless sensor networks 331
- 17 Exploring artificial intelligence techniques for enhanced sentiment analysis through data mining 345
- 18 Exploring the potential of artificial intelligence for automated sentiment 361
- 19 A novel blockchain-based artificial intelligence application for healthcare automation 373
- 20 Enhancing industrial efficiency with AI-enabled blockchain-based solutions 387
- Index 401
