"AI systems could make progress on more complex requests, but they could not complete the 'last mile' by themselves at the start. This led to more refinement and improvement in the systems alongside a human decision-maker that could understand what the AI was recommending."
"Database management needs AI. The demand from customers for faster fixes and better performance is not going away, and those customers expect their suppliers to use AI in the same way they might use AI internally."
"Fully automating service with AI is not yet reliable for 100% of requests. As AI improves, the speed will benefit the majority of potential issues, but complex problems will still require human expertise and control."
AI systems are progressing in handling complex requests but cannot fully operate independently initially. Human decision-makers are essential for understanding AI recommendations and improving them. Databases are crucial for data analysis and must be reliable and secure. The integration of AI in database management is necessary to meet customer demands for faster solutions. However, complete automation is not yet feasible, as complex problems still require human expertise alongside AI capabilities.
Read at InfoWorld
Unable to calculate read time
Collection
[
|
...
]