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Proving the ROI of AI can be elusive , but rushing to achieve it can prove costly. Bogdan Raduta, head of AI at FlowX.AI, says, Gen AI holds big potential for efficiency, insight, and innovation, but its also absolutely important to pinpoint and measure its true benefits.
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CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. Resilience frameworks have measurable ROI, but they require a holistic, platform-based approach to curtail threats and guide the safe use of AI, he adds. Its a business imperative, says Juan Perez, CIO of Salesforce.
The study found better oversight of business workflows to be the top perceived benefit of it. She sees potential in using agents to schedule client work and match client requirements with the best-skilled and cost-effective resources. These areas were chosen for their clear ROI potential.
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And Doug Shannon, automation and AI practitioner, and Gartner peer community ambassador, says the vast majority of enterprises are now focused on two categories of use cases that are most likely to deliver positive ROI. Data management, when done poorly, results in both diminished returns and extra costs.
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For any health insurance company, preventive care management is critical to keeping costs low. The key to keeping costs low is that the number of claims must be low. So how much preventive care can you adopt to take care of your members to keep claims low and to keep costs low? But the biggest point is datagovernance.
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According to Pruitt, one major benefit of partnering with a cloud-agnostic data giant such as Databricks and developing a sophisticated datagovernance strategy is “just being able to have a single source of truth.” This allows us to excel in this space, and we can see some real-time ROI into those analytic solutions.”
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Additionally, by uncovering patterns and trends across large data sets, they can identify opportunities for cost savings and measure their performance compared to peers. What are the benefits of data analytics in the hospitality industry? The more data fed into an algorithm, the more accurate the outcome.
Be sure you review prospective solutions to ensure that there are no gaps, issues or shortcomings in these areas: DataGovernance Does the prospective solution provide administrative tools to ensure quality and governance access for your IT team? Can they easily define access, manage dashboards, etc.
Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. As such, rudimentary data is used for reporting purposes, but it doesn’t influence wider business operations or strategic decision-making. Data lineage is understood, but only partially mapped.
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