But generative AI is clearly changing the process of data analysis. I’ve been experimenting with quantitative data analysis using ChatGPT for several years now. I was certainly impressed by the LLM’s ability to generate Python code to analyze structured data and create machine learning models.
Read MoreThe volume of headlines around AI is staggering. In boardrooms around the country, it's being hailed as the most revolutionary technology since the Internet. But while leaders are fascinated by the promise of artificial intelligence, few are seeing significant returns on their investments. In fact, many AI initiatives fail. However, there are exceptions. Companies such as Mars Wrigley, Colgate Palmolive, Turbo Tax and Pega Systems are putting AI into action.
Read MoreGenerative AI is dominating headlines, boardroom discussions, and innovation budgets. From marketing copy to code generation, it's being hailed as the most revolutionary technology since the internet. But while enterprise leaders are captivated by the promise of artificial intelligence, few are seeing real returns on their investments.
Read MoreArtificial intelligence has been around since the 1950’s, yet even for skeptics, recent advances in Generative AI (GenAI) have significantly moved the needle forward. Due to massive early adoption, Goldman Sachs estimates that Generative AI could raise global GDP by 7% within 10 years [1]. However, while the focus has been on GenAI, it’s important to note that any GenAI strategy requires the right data and the ability to govern the data effectively with the GenAI tool. A strong GenAI strategy will include the following key components.
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