Generative artificial intelligence (GenAI or generative AI) programming has emerged as a transformative force, revolutionising various aspects of businesses and industries. By leveraging machine learning algorithms to create new content, generative AI has the potential to significantly enhance productivity, streamline operations, and unlock new opportunities for end users, internal users, developers, and technology operations within a company. This article delves into the impact of generative AI programming on these user groups, presents a table of use cases, and lists a few open source tools that can help harness the potential of generative AI programming.
End users
End users represent the external customers who interact with a company’s products or services. Generative AI can significantly enhance their experience through personalised content generation, predictive analytics, and improved customer support. ƒ
Personalised content generation:
Generative AI can create tailored content for end users based on their preferences, behaviour, and historical data, leading to increased engagement and satisfaction. Examples are personalised recommendations for products and entertainment.
Predictive analytics:
By analysing patterns and trends in user data, generative AI can anticipate end users’ needs, enabling companies to proactively address them and enhance customer satisfaction.
Enhanced customer support:
Generative AI can be employed to develop intelligent chatbots that provide instant, accurate, and personalised support to end users, improving their overall experience.
This story is from the April 2024 edition of Open Source For You.
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This story is from the April 2024 edition of Open Source For You.
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