AI and BI are no longer separate conversations—they're converging into a more powerful discipline that's redefining the analytics landscape.
At the same time, the road to AI-augmented BI isn't without obstacles. Data quality and governance are under increased scrutiny as AI models magnify the impact of flawed inputs. Integration between legacy BI platforms and new AI capabilities poses architectural challenges. And as automation takes hold, organizations must rethink workforce skills, analytical processes, and decision-making structures.
DBTA recently held a webinar, Combining AI and BI: Changes, Challenges, and Opportunities in Data Analytics, with Jeff Hainsworth, senior product marketing manager,
insightsoftware and Evelyn Chou, senior product manager, insightsoftware, who discussed the changes, challenges, and opportunities this combination brings.
insightsoftware is a global provider of comprehensive solutions for finance, accounting, and operations teams. “We believe an actionable business strategy begins and ends with accessible data,” Hainsworth said.
AI plus BI is more difficult than you’d think, Chou explained. You need:
- Live data connectivity
- Semantic understanding
- Interoperability
- Context-aware presentation
But AI has a data problem, according to Hainsworth. Without data access, AI hallucinates, and AI needs access to data, not copies of data. However, without governance, AI can not access this data. AI requires data prep, he explained.
“The challenges of AI are the challenges BI solved years ago,” Hainsworth said.
insightsoftware’s Simba Intelligence is the missing layer between enterprise data and AI, he noted. It’s where trusted data and AI finally connect.
Simba Intelligence takes an "AI Agent-first" approach, fundamentally reimagining how users interact with data through AI agents.
insightsoftware also offers Logi Report, a platform that is built to power regulatory reporting, operational reports, and embedded delivery, Chou said.
Logi Symphony is built for developers, product teams, and modern data builders—not just analysts. It powers embedded analytics, internal applications, and governed AI/self-service at scale.
For the full webinar, featuring a more in-depth discussion, Q&A, and more, you can view an archived version of the webinar here.