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The AI Decision Brief
Generative AI is more than a trend; it's a new platform shift transforming business and technology at scale. The eBook, "The AI Decision Brief," explores what's driving this change, from evolving AI scaling laws to the infrastructure fueling it. It also outlines how organizations can align their business, tech, and data strategies to realize AI's full impact. Download the eBook to start building your generative AI roadmap. Contact Acts Technology Corporation for personalized guidance on Copilot strategy and implementation.
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Generative AI is a subset of artificial intelligence that utilizes advanced models, such as large language models (LLMs), to create novel outputs. Unlike traditional AI, which may focus on data analysis or decision-making, generative AI enables users to interact with data through natural language prompts, allowing for a wide range of applications including text, images, and video generation.
How quickly is generative AI being adopted?
The adoption of generative AI has been rapid, with enterprise usage increasing from 55% in 2023 to 75% in 2024, according to an IDC study. This swift uptake highlights the growing confidence organizations have in leveraging AI technology to enhance productivity and innovation.
What are the stages of AI readiness?
Organizations generally progress through five stages of AI readiness: exploring, planning, implementing, scaling, and realizing. Each stage has distinct strategic priorities, from educating and experimenting with AI to achieving measurable value and establishing robust processes for ongoing development.
The AI Decision Brief
published by Acts Technology Corporation
Acts Technology Corporation is a Small Business Cloud Solutions Provider. We provide Security and Maintenance, Cloud Backups, Microsoft Azure as well as Microsoft Office 365 and Google Workspace licensing.
Acts Technology Mission Statement
To help our clients with their technology decisions through innovative means.
By finding solutions to every technological problem they may face.
To lower Information Technology overhead by automation and protecting customer data.
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