Remove Business Objectives Remove Modeling Remove Risk Management
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New regulation intensifies focus on IT risk management and operational resilience

CIO Business Intelligence

A comprehensive regulatory reach DORA addresses a broad range of ICT risks, including incident response, resilience testing, third-party risk management, and information sharing. One notable tool, BMC HelixGPT , uses a large language model (LLM) that drives a suite of AI-powered software agents.

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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes.

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In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

With the help of business process modeling (BPM) organizations can visualize processes and all the associated information identifying the areas ripe for innovation, improvement or reorganization. There’s a clear connection between business process modeling and digital transformation initiatives.

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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. Below are five examples of where to start.

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5 IT risks CIOs should be paranoid about

CIO Business Intelligence

One approach is to define and seek agreement of non-negotiables with the board and executive committee, outlining criteria of when upgrading legacy systems must be prioritized above other business objectives. Confirm that the financial models accurately explain budget-to-actual variances.

Risk 142
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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. Highlight how ESG metrics can enhance risk management, regulatory compliance and brand reputation.

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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage. How erwin Can Help.