Generative artificial intelligence (AI) is not magic but rather a mathematical process, according to Ben Schreiner, head of innovation for small and medium businesses at Amazon Web Services (AWS). He advises business leaders to approach generative AI with an understanding of its weaknesses and its impact on people. While many use cases for generative AI are similar to predictive algorithms or machine learning, it does offer new possibilities. Schreiner encourages SMBs to focus on innovation and leveraging AI, regardless of whether they are using the latest large language model or older AI technology.
When deciding to use generative AI, business leaders should consider the source and quality of the data used to train the model. They should also ensure they have a long-term partnership with an organization or partner that has expertise in generative AI. Schreiner emphasizes the importance of continuous learning, as generative AI is constantly evolving. Copyright and hallucination concerns are addressed by AWS, which ensures it knows the source of the model’s data to avoid potential liabilities.
Schreiner believes that small and medium businesses should prioritize investing in their people before investing in AI. He suggests providing training opportunities for employees to leverage AI technology and emphasizes that the success of AI tools and technology depends on the people who use them. He also highlights the concept of generative business intelligence, which involves aggregating data and using AI to generate reports and insights. This can help SMBs maximize the value of their data without needing specialized skills like SQL queries or advanced chart creation. The next level of generative BI involves AI writing summaries or executive summaries of the data, which can be edited by the user to meet their needs.
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