Remove Business Objectives Remove Data-driven Remove Risk Management
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5 tips for better business value from gen AI

CIO Business Intelligence

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5

Sales 142
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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. Now, add data, ML, and AI to the areas driving stress across the organization.

Risk 142
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A blueprint for successfully executing business-aligned IT strategies

CIO Business Intelligence

In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success. Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage.

Strategy 122
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Top 10 governance, risk, and compliance certifications

CIO Business Intelligence

Enter the need for competent governance, risk and compliance (GRC) professionals. The goal of GRC, in general, is to ensure that proper policies and controls are in place to reduce risk, to set up a system of checks and balances to alert personnel when new risks materialize, and to manage business processes more efficiently and proactively.

Risk 119
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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance.

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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes.

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.