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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals. This is where Operational AI comes into play.

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Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. 54% of AI users expect AI’s biggest benefit will be greater productivity. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

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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. It also has the benefit that as underlying AI costs drop over time service providers can extract more margin for this work.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI.

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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

The company provides industry-specific enterprise software that enhances business performance and operational efficiency. Infor offers applications for enterprise resource planning, supply chain management, customer relationship management and human capital management, among others.

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

David Menninger's Analyst Perspectives

However, many enterprises have existing on-premises applications that, in most cases, will not get AI-enablement from the software provider. 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.

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Transforming Task Automation: The Future of Intelligent Orchestration

David Menninger's Analyst Perspectives

Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities. Enterprises that adopt RPA report reductions in process cycle times and operational costs.