The Evolution Of BI Engineers Artificial intelligence (AI) is not displacing business intelligence (BI). Just the opposite: More data means more opportunities to uncover insights and an increasing need for BI to help data, AI, and analytics leaders catalyze better decision-making across the business.

Business Intelligence Is Here To Stay For the past 20 years, Forrester has consistently encountered predictions from analysts and vendors claiming that “BI is dead.” These predictions have repeatedly been proven incorrect. Even now, generative AI (genAI) is not replacing business intelligence (BI); instead, it’s leveling the playing field as all BI vendors integrate generative and agentic AI capabilities based on the same large language models (LLMs).

Technology and data leaders implement BI platforms to: Enable last-mile intelligence for business pros. Enterprise BI platforms are at the end of the long, complex data-to-insights process. They are platforms where business pros get insights, and make decisions; they can also take action if the application is capable of it.

Nowadays every enterprise software vendor boasts genAI capabilities, and business intelligence (BI) vendors are no different. Are these claims real or hype? Technology and data executives can use this report to learn about enterprise business intelligence platform components that are a good fit (or not) for generative AI.

While AI is poised to transform the way enterprises operate and employees work, adoption of the AI capabilities of enterprise business intelligence (BI) platforms remains low. Technology and data leaders can use this report to understand the benefits and risks of AI-infused (aka “augmented”) BI platforms and solutions.

Finding the right middle ground between these forces is a delicately orchestrated process that Forrester calls business intelligence (BI) governance. Technology and data executives can use this report to jump-start their enterprise BI governance initiatives by leveraging Forrester’s framework, recommendations, and starter tool.

Developing and deploying business intelligence (BI) and analytics applications is comparable to an avalanche barreling down a hill: The farther it rolls, the bigger it becomes — the more data assets and BI applications are developed and deployed, the more insights business users desire. Therefore, it’s critical for enterprises to adapt BI development methodology that’s agile, flexible, and smart.

In this report, technology and data leaders will learn about the capabilities that leading business intelligence (BI) vendors are building in order to infuse BI platforms with genAI to support enterprise-grade solutions.

Enterprise BI Platforms Continue To Benefit From Infusion Of AI Advancements in AI and machine learning (ML) continue to augment the capabilities of the traditional enterprise business intelligence (BI) platform, adding AI-driven features that go beyond reporting, querying, data visualizations, and basic descriptive and diagnostic analytics.

The Use Of Multiple Business Intelligence Platforms Is Here To Stay, And BI Fabric Can Help