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The key to operational AI: Modern data architecture

CIO Business Intelligence

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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How will AI agents be priced? CIOs need to pay attention

CIO Business Intelligence

Agentic AI, the more focused alternative to general-purpose generative AI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. The technology is in its early days, and several questions remain open chief among them, how AI agents will be priced.

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Delays in TSMC’s Arizona plant spark supply chain worries

CIO Business Intelligence

Taiwan Semiconductor Manufacturing Company (TSMC) has said it is unlikely to equip its new US plant in Arizona with its most advanced chip technology ahead of its Taiwan factories, raising concerns about supply-chain hurdles for tech companies. Delays in accessing modern technology may postpone those launch dates.

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Should I Stay or Go? Migrating to AI-Enabled Applications

David Menninger's Analyst Perspectives

Those customers should be evaluating if, when and how they will tap into the benefits that AI and GenAI can provide to improve operational and financial performance. With a perception of limited or no benefit, not taking any action can appear attractive and may be the right choice.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. times compared to 2023 but forecasts lower increases over the next two to five years. A human-centric approach helps with the change management efforts around using agentic AI while evaluating the benefits and risks.

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Agentic AI design: An architectural case study

CIO Business Intelligence

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. Did this need to be an agent?

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Transforming Task Automation: The Future of Intelligent Orchestration

David Menninger's Analyst Perspectives

This shift not only reduces the chances of human error but also elevates the quality of outputs across various departments, which reflects a broader trend of harnessing technology to drive meaningful transformation in the workplace. Enterprises that adopt RPA report reductions in process cycle times and operational costs.