'Most organizations do not have an AI investment problem, they have a data problem': New study warns infrastructure demands could be what's really holding AI back
- Confluent research reveals firms aren't worried about the scale of AI investments – the ambitions are there
- Instead, companies are struggling with legacy data systems
- We just didn't know that we needed support for continuous intelligence back then
Businesses are still investing heavily in AI while they figure out where it can be used best, but Confluent believes the volume of investment isn't a blocker anymore. Instead, it's the quality of the data AI systems rely on that's letting them down.
Three in four (72%) IT leaders say poor real-time data infrastructure is preventing them from being able to scale properly.
Real-time data processing (72%), data lineage uncertainty (66%) and fragmented data ownership (65%) are among the biggest challenges that companies face when trying to implement AI.
AI's biggest blocker is data
These challenges have ultimately led to lower-than-expected AI deployments and poor ROI – only 32% say they have...
Copyright of this story solely belongs to techradar.com. To see the full text click HERE
