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Gary Zimmerman – CMO, Principal Consulting Analyst
The emergence of Generative Artificial Intelligence technology can potentially transform the enterprise landscape. Generative AI systems use complex algorithms and deep learning techniques to generate new data, designs, and exclusive products. This report is an executive-level set as to what Generative AI is, its strengths and weaknesses, early products, and future state expectations.
Generative AI has received a lot of attention since the release of OpenAI’s ChatGPT family in late 2022 and Microsoft’s reported $10B investment, but the core concepts of leveraging AI to support business and individual needs have been building for decades. The change is that we are moving from using AI as a tool to analyze and predict to a tool to be used to generate on-demand content.
The adoption of Generative AI in the enterprise can offer several benefits, such as improving efficiency, reducing costs, and enhancing customer experience as it matures. Like any emerging technology we’ll also describe the challenges, including privacy and security concerns, ethical considerations, and technical limitations.
This paper provides an overview of Generative AI, its use in the enterprise, its potential applications, benefits, challenges, and future trends. It also offers recommendations for enterprise leaders on how to successfully integrate Generative AI into their operations while minimizing risks and maximizing benefits.