- If your AI-generated code becomes faulty, who faces the most liability exposure?
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- The Urgent Need for Data Minimization Standards
How can CIOs safely unleash generative AI on their company’s data?
At the same time, business users worry about the precautions a GenBI solution takes to secure data. If it isn’t hosted on your infrastructure, you can’t be as certain about its security posture. Additionally, consumers are nervous about the privacy and security of GenAI tools, so deploying them could mean damaging customer trust.
This comes alongside a worrying lack of transparency that raises concerns about bias, hallucinations, and unreliable results. What are developers doing to address these issues? Let’s look at three GenBI solutions and their approaches to resolving security concerns.
Amazon Q in QuickSight
Amazon AWS offers Amazon Q in QuickSight as a GenAI assistant that helps users create and manage data insights. The solution responds to natural language text prompts to build dashboards and automated contextual summaries that help explore the data. With Amazon Q in QuickSight, every user can generate interactive data stories, without waiting for BI experts or data scientists to update the data and produce new dashboards.