GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare.

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Generative AI (genAI) is revolutionizing data science by enhancing tools, processes, and deliverables. Data scientists should expand their skills to include unstructured data analysis, integrate AI-generated dashboards, and support citizen data scientists. Key focuses include ethical AI use, leveraging industry-specific AI models, and using graph databases for advanced analytics. GenAI also lowers technical barriers, empowering businesses to leverage data-driven decision-making more effectively.

5 ways data scientists can prepare now for genAI transformation

<p>#note:</p>
<ul>
<li>Target revenue and growth</li>
<li>Integrate with AI-generated dashboards</li>
<li>Empower citizen data scientists</li>
<li>Harness unstructured data sets</li>
<li>Leverage AI agents and models</li>
</ul>
