Description:
From the Back Cover
Written from the perspective of an experienced IT expert, this book leverages a maturity model framework to guide organizations through each stage of adopting, securing, scaling, and tracking the value of low-code AI responsibly and efficiently. Unlike other works that focus only on AI’s technical aspects, this book boasts a practical roadmap for responsible AI adoption and provides a clear, structured maturity model that guides organizations from foundational steps to advanced, responsible AI practices.
In a world where organizations are under pressure to innovate quickly and responsibly, this book provides a structured approach, addressing essential elements such as data management, governance, ethics and compliance in low-code AI environments. Each chapter represents a maturity level, from foundational to optimized, offering readers insights, practical steps and examples to support their journey.
The Low-Code AI Maturity Model takes a comprehensive look into the transformative potential of low-code and AI.
You will:
- Identify, assess and mitigate risks to ensure stable and reliable AI deployments
- Implement robust governance, aligning with compliance standards and ethical principles at each maturity stage
- Evaluate the real business value and ROI of AI projects, empowering data-driven decision-making
About the Author
Steve Jeffery has been an IT professional since 1996, with a career that spans hardware, software, consulting, and architecture. His journey started in hardware, evolving to software roles in the early 2000s, and ultimately leading to his current role as Principal Program Manager in Microsoft’s Power CAT team. During the past 13 years at Microsoft, he has gained extensive experience working directly with large enterprise customers, guiding them in adopting Microsoft’s Power Platform and helping them overcome the complex challenges of integrating new technologies at scale.
One of his most significant contributions has been to Microsoft’s Center of Excellence (CoE) Starter Kit and the Business Value Toolkit—resources that have empowered organizations globally to deploy, manage, and drive value from low-code and AI solutions. As a recognized expert in low-code AI, he has a deep understanding of the practical and strategic elements required for successful adoption, from technical implementation to cultural alignment.
Details:
Visit the Steve Jeffery (Author) Store
The Low-Code AI Maturity Model: Leading Responsible AI Transformation with Microsoft Power Platform
AED50465
Quantity:
Order today to get by 7-14 business days
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Visit the Steve Jeffery (Author) Store
The Low-Code AI Maturity Model: Leading Responsible AI Transformation with Microsoft Power Platform
AED50465
Quantity:
Order today to get by 7-14 business days
This item qualifies for free delivery
Imported From: United Kingdom
At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.
Every product in the BOLO catalogue is sourced through our Verified Global Supply Network of verified sellers, authorized distributors or directly from the manufacturer.
Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.
If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.
Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.
While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.
Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.
BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the United Arab Emirates will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.
All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.
All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.
Description:
From the Back Cover
Written from the perspective of an experienced IT expert, this book leverages a maturity model framework to guide organizations through each stage of adopting, securing, scaling, and tracking the value of low-code AI responsibly and efficiently. Unlike other works that focus only on AI’s technical aspects, this book boasts a practical roadmap for responsible AI adoption and provides a clear, structured maturity model that guides organizations from foundational steps to advanced, responsible AI practices.
In a world where organizations are under pressure to innovate quickly and responsibly, this book provides a structured approach, addressing essential elements such as data management, governance, ethics and compliance in low-code AI environments. Each chapter represents a maturity level, from foundational to optimized, offering readers insights, practical steps and examples to support their journey.
The Low-Code AI Maturity Model takes a comprehensive look into the transformative potential of low-code and AI.
You will:
- Identify, assess and mitigate risks to ensure stable and reliable AI deployments
- Implement robust governance, aligning with compliance standards and ethical principles at each maturity stage
- Evaluate the real business value and ROI of AI projects, empowering data-driven decision-making
About the Author
Steve Jeffery has been an IT professional since 1996, with a career that spans hardware, software, consulting, and architecture. His journey started in hardware, evolving to software roles in the early 2000s, and ultimately leading to his current role as Principal Program Manager in Microsoft’s Power CAT team. During the past 13 years at Microsoft, he has gained extensive experience working directly with large enterprise customers, guiding them in adopting Microsoft’s Power Platform and helping them overcome the complex challenges of integrating new technologies at scale.
One of his most significant contributions has been to Microsoft’s Center of Excellence (CoE) Starter Kit and the Business Value Toolkit—resources that have empowered organizations globally to deploy, manage, and drive value from low-code and AI solutions. As a recognized expert in low-code AI, he has a deep understanding of the practical and strategic elements required for successful adoption, from technical implementation to cultural alignment.
Details:
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Or share with link
https://www.bolo.ae/products/KO0SQ7O4XDK