Remove Business Objectives Remove Risk Remove Unstructured Data
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5 tips for better business value from gen AI

CIO Business Intelligence

Instead, CIOs must partner with CMOs and other business leaders to help quantify where gen AI can drive other strategic impacts especially those directly connected to the bottom line. The CIO and CMO partnership must ensure seamless system integration and data sharing, enhancing insights and decision-making.

Sales 143
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7 IT governance mistakes — and how to avoid them

CIO Business Intelligence

Governance should be designed with adaptability in mind to ensure IT remains in alignment with business objectives, continually providing value while effectively safeguarding the organization against potential risks, Bales says. Poor risk planning. Insufficient operational visibility.

IT 116
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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Those that do so will find their data and applications to be force multipliers.

Analytics 137
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Navigating the Data Maze: Top Trends in Data Intelligence for 2025

BI-Survey

You need tools that provide comprehensive oversight of your AI systems, from cataloging the unstructured data feeding your models to assessing the risks associated with AI-driven decisions.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. KPIs are measurable values that show how effectively a company is achieving its business objectives. KPIs indicate areas businesses are on the right track and where improvements are needed.

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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

As my colleague Wim Stoop previously shared, “A well-planned enterprise data strategy helps companies get the most of their data, making it known, discoverable, available, trusted, and compliant. In an industry that is subject to stringent regulatory requirements, it is critical to use data to accurately scale up risk management.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. The key objectives of this initiative can be summed up as first aiming to reduce our product development timeline by 20%,” Gopalan says.