AI, from its inception to its recent manifestations, has woven a complex narrative of human ingenuity and innovation. One such innovation is generative AI, where machines have evolved beyond passive tools to emerge as creators of new content in various forms and modalities, encompassing text, images, audios, videos, codes, and more.
In this viewpoint, we explore the history of AI, tracing its origins to its contemporary applications. The report also provides a comparative analysis between present-day generative AI models and traditional AI models, across various parameters. As organizations uncover the unexplored territories of generative AI, this report provides insights into industries spearheading its adoption, highlighting innovative use-cases that are being explored. It also talks about the inherent risks that accompany this new frontier, and emphasizes key considerations that enterprises must assess before embarking on their generative AI journeys.
Scope
All industries and geographies
Contents
In this report, we:
Examine the brief history of AI up to its recent advances in generative AI capabilities
Deep dive into generative AI and its applications across industries
Highlight key risks posed by generative AI
Discuss enterprise considerations before they embark on their generative AI journeys
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…
