Integrating multiple data sources from various systems (ERP, CRM, databases) was challenging due to differing formats, structures, and protocols.
As data volumes increase, ensuring the performance of AI software for business doesn’t degrade was a significant hurdle.
Ensuring the AI modeling software delivered highly accurate predictions without introducing biases based on skewed data sets was complex.
Delivering real-time, actionable insights from continuously changing data strained processing capabilities, especially with large data streams.
Users were reluctant to trust AI-driven insights due to the lack of transparency in the decision-making process.
Handling sensitive business data requires ensuring robust security and compliance with regulations like GDPR to prevent data breaches or misuse.
Ensuring the AI assistant remained relevant and accurate over time as business data evolved and new trends emerged was a challenge.