
Future-Proof Your Mainframes with AI/ML
Ricardo Nuqui(Author)
Isaac Nangan (Publisher)
Published on 20. November 2024
Book
Paperback/Softback
412 pages
978-981-5194-94-4 (ISBN)
Description
Future-Proof Your Mainframes with AI/ML
Discover how to bring the power of Artificial Intelligence and Machine Learning to the heart of enterprise technology-your mainframes. This comprehensive guide equips IT leaders, systems managers, and enterprise architects with the knowledge and tools to modernize mainframe systems and unlock their full potential in today's AI-driven world.
From understanding foundational concepts of AI/ML to implementing cutting-edge solutions, this book bridges the gap between legacy systems and innovative technologies. Explore how predictive analytics, automation, and hybrid cloud architectures can enhance performance, scalability, and security for mission-critical operations.
Inside, you'll find:Step-by-step strategies for integrating AI/ML into mainframe environments.
Tools and frameworks to streamline workflows and optimize performance.
Real-world case studies showcasing successful AI/ML implementations.
Practical insights on data preparation, model deployment, and continuous improvement.
Best practices for ensuring compliance, security, and system stability.
Whether you're modernizing existing systems, enhancing data-driven decision-making, or future-proofing your infrastructure, Future-Proof Your Mainframes with AI/ML is the ultimate resource for driving innovation and sustaining competitive advantage in a rapidly evolving technological landscape.
Transform your mainframes. Elevate your enterprise. Redefine the future.
More details
Series
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 216 mm
Width: 140 mm
Thickness: 23 mm
Weight
516 gr
ISBN-13
978-981-5194-94-4 (9789815194944)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification