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In some cases, AIs output has been incorrect because it lacks the contextualdatarequired for accurate responses.
In others, organizations have effectively leaked valuable data via AI as they didnt have strong governance in place.
At the same time, it is important to establish the most valuable use cases.
Somewhat ironically, AI can help here too.
EMEA Field CTO at Cloudera.
Armed with this knowledge, organizations will have a better understanding of where AI can help them the most.
However, in todays hybrid, multi-cloudenvironments, data often sits in siloes, making it hard to access.
Across such vast, distributed environments, implementing consistent control and compliance is also a challenge.
This is why having a unified data platform supported by a modern data architecture is important.
It enables organisations to provide AI with data from across any environment whether in the cloud or on-premise.
With a modern data architecture in place, organisations can lay solid foundations for AI success.
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