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Vice President and Global AI Practice Leader at Unisys.
However, these cost benefits are only as good as the effort and intention behind them.
The first step, and possibly one of the most important, is effectively preparing data.
This involves collecting, cleaning and structuringdatato optimize it for AI algorithms.
Next, it is essential to establish robust data governance policies to maintain data quality.
This can be achieved by setting up validation rules, data archiving protocols and ongoingmonitoring.
This also includes allocating additional resources toIT infrastructuresto help ensure a smooth integration of AI solutions.
Finally, organizational leaders need to direct resources to train staff and help employees use AI effectively and responsibly.
It is not enough to make these tools available and expect employees to understand how to use them.
It takes time and effort to use GenAI effectively and to get the best outputs possible.
It can also help organizations anticipate market shifts, adapt to changingcustomerpreferences and optimize supply chains.
The effects of GenAI can be seen across industries.
In the entertainment industry, GenAI can create interactive storytelling experiences that captivate audiences.
Justifying AI investments demands a thorough ROI analysis that considers upfront costs, client benefits, and internal efficiencies.
To maximize its value, organizations must set a clear ROI framework that supports overall business objectives.
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