Despite recent improvements in analytics in BI, companies still face uncertainty and friction as they make data-driven decisions. GenAI has the power to transform analyst workflows and self-service tools, but the journey to peak BI efficiency is far from over.
A recent study by ISG Research shines a light into the challenges around GenAI, how to overcome them, and the impact AI-infused analysis will have on every data stakeholder—regardless of their technical proficiency.
In this report, you’ll learn how to:
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Use LLMs to convert natural language questions into analytics queries
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Allow business users to explore data with conversational analytics
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Generate summaries and recommendations based on data and charts
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Automate tasks around data transformation and model development
