AI has advanced rapidly in recent years, with continuous advances in Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), among other areas. However, there is one area in which traditional AI has fallen short – displaying human creativity and creating new and unique content. But the advent of generative AI is ready to change that.
Generative AI can create new and unique content in the form of text, images, videos, audios, codes, and more. One of the most noteworthy examples of generative AI, which has taken the world by storm, is ChatGPT, an extremely advanced chatbot that OpenAI launched in November 2022. Based on users’ text prompts, ChatGPT can create all kinds of text outputs – articles, blogs, codes, job descriptions, and more – which are difficult to distinguish from human-generated text.
In this viewpoint, we help enterprises and providers understand generative AI technology and its impact on their businesses. We also look at generative AI’s implications for enterprises, including data, ethical, and workforce-related concerns, and discuss some of the best practices to maximize RoI from generative AI.
Scope
All industries and geographies
Contents
In this report, we discuss:
- The meaning and current market landscape of generative AI
- Use cases of generative AI and potential benefits
- Implications for enterprises, and technology and service providers
- Challenges and best practices for successfully implementing generative AI
Membership (s)
Banking Business Process
Contingent Workforce Management
Contingent Staffing
Customer Experience Management (CXM) Services, including Contact Center Outsourcing
CX Excellence
Finance and Accounting
Human Resources
Insurance Business Process
Life Sciences Business Process
Marketing Services
Procurement and Supply Chain
Recruitment
Service Optimization Technologies (SOT)
Healthcare Payer and Provider Business Process
Trust and Safety
Sourcing and Vendor Management
