The article emphasizes the importance of careful planning and risk management when integrating AI tools into business processes. Industry experts stress that many companies face challenges due to data integrity issues and siloes. Richard Cassidy warns that neglecting the proper 'how' of AI goals can lead to security concerns and inefficiencies, while Dael Williamson highlights that problems in data can severely impact the return on investment. Overall, flawed processes cannot be remedied by AI; they may only compound existing issues.
If your data is problematic or just plain wrong, inferencing will suffer, and you probably won't get the return on investment (ROI).
AI can become a 'noise generator' that distracts users - including from real incidents - and increases waste and costs.
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