3 Game-changing ways companies are using AI to transform analytics

Your users are making decisions without data. AI can fix that.

80–90% of knowledge workers don’t have the skills or access to effectively use today’s analytics tools, even when those tools are technically available to them. Analytics promised to democratize data. So far, it hasn’t delivered.

AI is changing that, but only for teams that know how to apply it. Traditional BI tools require too much context-switching and technical expertise, which leaves most employees reaching for gut instinct instead of insight, even when the data exists.

This whitepaper explores how organizations are using AI-powered analytics to close that gap: delivering contextual, actionable insights directly at the point of decision, inside the applications and workflows people already use.

You’ll also see a real example: how Bluefield Research unified more than 1.2 million water infrastructure data points across 50+ sources, and gave non-technical users the ability to ask questions in plain language and get answers in seconds, where it used to take hours.

Get the whitepaper to explore:

• Why traditional analytics still fail most business users, and the gap that creates
• How natural language querying makes data exploration accessible without technical training
• What predictive and prescriptive analytics actually look like inside a live product
• How to operationalize insights at the point of decision, not in a separate dashboard
• How Bluefield Research transformed fragmented data into an intelligent analytics experience their users actually rely on

Download the whitepaper to see how it’s being done, and what it takes to build analytics your users will actually use.