AI in analytics can deliver deeper insights, provide natural language interaction, and automate manual tasks. And with large language models like OpenAI’s ChatGPT, the possibilities have become limitless. With the rise of Machine Learning, organizations are more eager than ever to embrace the full potential of data.
So when you’re looking to leverage AI in analytics, what should you look for? In the eBook 5 Considerations for Using AI in Analytics, you’ll find key considerations for making sure your current solution – or the one you’re evaluating – provides the most possible value from AI. Contents include:
Quick background on the evolution of AI in Business Intelligence – and where we are now
5 general questions to ask about the AI capabilities of your analytics
Deeper-dive questions within each category to make sure you have access to the most important features
See how organizations serve all users and use cases with Machine Learning
Make sure you’re getting the most possible value from the AI within your BI.
