Pioneering Enterprise Architecture Transforming Global Enterprises Strategies For Digital Transformation Scalability
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Pioneering Enterprise Architecture: Transforming Global Enterprises: Strategies for Digital Transformation & Scalability
Author: Ashutosh Ahuja
language: en
Publisher: Modern Dynamics: International Books Publications
Release Date: 2024-10-19
In today’s rapidly evolving business landscape, organizations must leverage technology to stay competitive. Pioneering Enterprise Architecture is a comprehensive guide for technology leaders, architects, and decision-makers who want to master the art of aligning technology with business strategy. Drawing from years of hands-on experience, Ashutosh Ahuja shares practical insights, proven strategies, and real-world case studies that will help you navigate the complexities of modern digital transformations. From cloud migration and AI adoption to enterprise modernization and sustainability, this book equips you with the tools to design future-ready architectures that drive scalability and success. Whether you are looking to streamline operations, improve decision-making, or enhance the customer experience, this book offers the actionable advice you need to future-proof your organization. You’ll discover how to tackle the challenges of legacy systems, manage large-scale transformations, and implement architectural frameworks that empower your business to thrive in a digital-first world. Key topics include: Designing scalable, flexible, and resilient architectures. Navigating cloud migration and hybrid solutions. Implementing AI and machine learning for business innovation. Aligning technology initiatives with sustainability goals. Managing risk and enhancing cybersecurity with Zero Trust architecture. Building a successful enterprise architecture strategy for the future. If you’re ready to transform your organization through effective enterprise architecture, Pioneering Enterprise Architecture is your ultimate guide.
The Execution Challenge
Author: Brian H. Cameron
language: en
Publisher: John Wiley & Sons
Release Date: 2024-07-09
An expert playbook for effective strategy execution with a focus on proven, real-world, implementation In The Execution Challenge: Delivering Great Strategy at Scale, a team of renowned strategy execution researchers and consultants delivers a practical and insightful new take on how to effectively execute strategy in today's complex, fast-changing environments. The authors focus on the often missing “HOW” of strategy execution — exploring the holistic perspectives, skills, and approaches needed to inform and translate strategy and create and maintain a “line-of-sight” between your strategy and its execution. You'll find proven techniques that you can implement to ensure that changes in business strategy are reflected in complementary changes to the organizational project portfolio. The Execution Challenge includes over 70 diagrams and figures, an organizational assessment, and reusable frameworks. You'll also discover: A comprehensive leadership toolkit of approaches, skills, knowledge, processes, and examples you can employ immediately to translate and execute on even the most ambitious strategies A multidimensional and nuanced perspective on understanding modern organizational structures and design that provides a comprehensive view of your firm's value proposition How to align business strategy with project-level execution and maintain the alignment as strategy evolves A can't-miss toolkit for converting words and ideas into coordinated action and momentum, The Execution Challenge is the real-world guide to strategy execution that executives, strategists, transformation and innovation leaders, strategic planners, managers, directors, entrepreneurs, and other business leaders have been waiting for.
Smarter Data Science
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.