Read more: See hereAI applications are having a very real impact on productivity and collaboration. According to MIT's Sloan School, generative AI can improve the performance of a highly skilled worker by 40% over their peers who don't use it. These improvements don't just apply to individual work, either.
When generative AI and business analytics are combined in an effective manner, it's often referred to as GenBI. As a non-tech person, I find it fascinating how technologies such as AI and and GenBI are being used to help make person-to-tech collaboration far more effective than it has been in the past. And even more interesting is how it can even help foster better person-to-person collaboration, as well.
Generative BI combines generative AI and business analytics tools to help make analytics data more useful and accessible for business users and data teams alike. It works by connecting a generative AI solution with a business's existing data sources and analytics tools.
Notably, GenBI systems don't generally rely on more public-facing generative AI solutions like ChatGPT, largely due to the challenges of uploading so much data to a LLM, and the potential data security issues involved with sharing sensitive corporate data in such a way. However, these systems do still aim to provide a ChatGPT-like experience to create a straightforward and easy approach to business analytics.
By using the natural language processing models inherent to generative AI, the people using that information can enjoy greater ease of use as they try to gain relevant insights from their data.
By helping deliver meaningful data points and reports based on the information request, users don't have to spend countless hours digging through data, coding queries or generating reports manually. Instead, they can focus on actually making use of that information for their own collaborative needs.
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