2023 Trends in Artificial Intelligence and Machine Learning: Generative AI Unfolds - insideBIGDATA

At present, the potential for generative Artificial Intelligence--the variety of predominantly advanced machine learning that analyzes content to produce strikingly similar new content--is boundless. These technologies have transcended Natural Language Generation, in which they achieved much of their early renown via paradigms such as Bidirectional Encoder Representations from Transformers (BERT), Generative Pre-trained Transformer 3 (GPT3), and deep neural networks. Although it's still utilized to create verbal summaries of documents and analytics results, generative AI is now widely employed to compose poetry, music, visual arts, and many other things once thought relegated to the realm of human ingenuity. Still, generative AI's benefits of automation, time-to-action, and scalability are the very reasons organizations rely on AI in the first place. Prudent companies will adopt these advantages within broader frameworks for mitigating the shortfalls of advanced machine learning to provide tangible business value for decision support, customer satisfaction, workload optimization, and cost reductions.