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IT leaders brace for the AI agent management challenge

CIO

Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Durvasula also notes that the real-time workloads of agentic AI might also suffer from delays due to cloud network latency.

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The future of data: A 5-pillar approach to modern data management

CIO

By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance.

Data 167
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What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. A container orchestration system, such as open-source Kubernetes, is often used to automate software deployment, scaling, and management.

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10 AI strategy questions every CIO must answer

CIO

Do we have the data, talent, and governance in place to succeed beyond the sandbox? They need to have the data, talent, and governance in place to scale AI across the organization, he says. Are we prepared to handle the ethical, legal, and compliance implications of AI deployment? She advises others to take a similar approach.

Strategy 211
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Global AI regulations: Beyond the U.S. and Europe

CIO

First, although the EU has defined a leading and strict AI regulatory framework, China has implemented a similarly strict framework to govern AI in that country. The G7 collection of nations has also proposed a voluntary AI code of conduct. Similar voluntary guidance can be seen in Singapore and Japan.

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO

40% of highly regulated enterprises will combine data and AI governance. AI governance is already a complex issue due to rapid innovation and the absence of universal templates, standards, or certifications. AI-driven software development hits snags Gen AI is becoming a pervasive force in all phases of software delivery.

Company 191
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EXL Code Harbor streamlines platform migration, data governance, and workflow assessment

CIO

EXL Code Harbor is a GenAI-powered, multi-agent tool that enables the fast, accurate migration of legacy codebases while addressing these crucial concerns. How Code Harbor works Code Harbor accelerates current state assessment, code transformation and optimization, and code testing and validation. Optimizes code.