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AI in the C-suite: Using AI to shape business strategy

CIO Business Intelligence

Jeff Schumacher, CEO of artificial intelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” I’m deeply involved in understanding the possibilities that AI presents while also being cognizant of its limitations.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The future will be characterized by more in-depth AI capabilities that are seamlessly woven into software products without being apparent to end users. An overview.

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Agentic AI: 6 promising use cases for business

CIO Business Intelligence

CRM leader Salesforce has since centered its strategy around agentic AI, with the announcement of Agentforce. Software development Agentic AI promises to transform AI coding assistants, or copilots, into smarter software development tools that write large pieces of code. Microsoft and others are also joining the fray.

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9 IT resolutions for 2025

CIO Business Intelligence

And ensure effective and secure AI rollouts AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. Kenney plans to partner with commercial off-the-shelf software providers to facilitate a proof-of-concept of their out-of-the-box functionality.

IT
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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

But this year three changes are likely to drive CIOs operating model transformations and digital strategies: In 2024, enterprise SaaS embedded AI agents to drive workflow evolutions , and leading-edge organizations began developing their own AI agents.

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

CIO Business Intelligence

Jayesh Chaurasia, analyst, and Sudha Maheshwari, VP and research director, wrote in a blog post that businesses were drawn to AI implementations via the allure of quick wins and immediate ROI, but that led many to overlook the need for a comprehensive, long-term business strategy and effective data management practices.

ROI
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Generative AI: A Self-Study Roadmap

KDnuggets

For developers and data practitioners, this shift presents both opportunity and challenge. Understanding how different models tokenize text helps you estimate costs accurately and design efficient prompting strategies. Learning each models strengths helps you select the right tool for specific tasks.