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However, the reality of AIs capabilities is far more nuanced than fabricated headlines allow room for.
Avoiding the pitfalls of poorly articulated strategies for solvingdataproblems is therefore a fundamental challenge.
Director of Government and Defense at Mind Foundry.
Efforts should always focus on designing with the human in mind, rather than the system.
The blank slate approach runs the risk of losing years of hard-won knowledge, understanding and best practices.
Replacing this with an ill-designed and generic AI system only confuses existing users.
Combining old systems with new improvements will make the most significant strides inproductivity.
However, this combination requires a strategic approach withcollaborationbetween AI providers, system engineers and end users.
Automation is not the same as AI
The term AI can sometimes be misleading.
The most technologically advanced solution may not actually be the optimal one.
The outcome of this should enable more simplified deployment, governance, and maintenance.
We often collect data simply because we can or because its a by-product of business as usual.
Collecting the right data to solve important problems should be the priority.
These recommendations provide a starting point for companies looking to deliver impact-focused, data-driven projects.
We’ve featured the best data migration tool.
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