Perspectives

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Generative Engine Optimization: Enterprise Strategy Guide 2026

Generative AI platforms now cite only one to three sources per answer, making traditional SEO insufficient to gain and maintain digital visibility. This article explains how generative engine optimization (GEO) works, why it demands an enterprise-wide response, and how organizations can build the cross-functional capabilities needed to stay present, authoritative, and cited in an AI-first world.

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How AI-first research and development accelerates innovation in food and beverage

AI-first R&D can help food and beverage companies move from trial-and-error innovation to guided learning by connecting data, predictive models, workflow copilots, and governance.

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How European banks are building AI that lasts

European banks are better positioned than most to scale AI responsibly. They have the governance infrastructure, regulatory clarity, and proven use cases that many global peers are still building. The challenge now is whether they can convert that advantage into enterprise-scale deployment before competitors pull further ahead.

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From ERP capability to business execution

As Oracle Fusion Applications embed AI, automation, and modern user experiences into everyday business processes, organizations are finding that workflow redesign, governance, and user adoption are critical to turning ERP capabilities into measurable business outcomes.

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How to embed responsible AI into Canada's financial future

Canadian banks that align innovation with trust, transparency, and governance will build durable competitive advantages. As regulatory frameworks mature, embedding responsible AI at the infrastructure level will be essential for sustainable growth and stakeholder confidence.

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Why ServiceNow's unified platform works for every department

A unified platform helps businesses integrate data, processes, experiences, and governance into one cohesive ecosystem.

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How to build a modern logistics service provider operating model

Digital-first operating models powered by AI, automation, and control towers are critical to drive resilience, efficiency, and superior customer outcomes.

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AI solution map for modern container terminal operations

AI and advanced optimization technologies help container terminals simplify complex operations and optimize resources.

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The case for integrated, real-time operations in semiconductors

The semiconductor industry is navigating rising volatility as AI demand accelerates and supply constraints persist, making integrated, real-time operations on platforms such as SAP S/4HANA critical to aligning planning, manufacturing, and supply chains.

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Why SMBs are the growth opportunity for telcos

Small enterprises are telecom's most under-monetized opportunity. This article explores the structural gaps holding telcos back, and the actions that turn that opportunity into revenue.

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Process ontology: The missing layer for agentic AI in telecom

Why most telecom AI stalls, and what operators can do about it.

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Smarter enterprise tech cost management: How to reduce value leakage

Visibility and continuous evaluation enable sound technology decisions that deliver lasting value.

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How to secure multiagent AI: A layered strategy for enterprises

A practical guide to the risks, controls, and roadmap enterprises need to secure multiagent AI at scale.

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How LLM guardrails safeguard your enterprise AI journey

Why enterprise AI needs application-level guardrails to scale safely and reliably.

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The top 10 AI imperatives for 2026: How CTOs can manage costs and grow at the same time

10 AI imperatives to control costs, scale agentic AI, modernize the core, and drive growth.