Showing results by author "Sam Miley" in All Categories

Large Language Models (LLMs) are revolutionizing the way we interact with technology—powering chatbots, automating content creation, summarizing information, writing code, and even generating art. Large Language Models (LLMs) is your definitive guide to understanding these groundbreaking AI systems and how they’re reshaping industries, workflows, and everyday life.

In a world where artificial intelligence is rapidly shaping economies, societies, and daily life, ensuring that AI systems are developed and deployed responsibly is paramount. AI Governance offers an in-depth exploration of the ethical, legal, and strategic dimensions that underpin effective oversight of AI technologies.

In today’s fast-paced digital world, maximizing productivity isn’t just about working harder—it’s about working smarter. AI-Powered Productivity Tools is your essential guide to understanding and leveraging artificial intelligence to streamline tasks, boost efficiency, and transform how you work and collaborate.

Artificial intelligence is no longer a futuristic concept—it’s a powerful force shaping how modern software is designed, built, and delivered. AI Product Development is a comprehensive and practical guide for product managers, engineers, data scientists, and tech leaders who are committed to creating intelligent products that solve real-world problems at scale.

In a world increasingly shaped by intelligent machines, Human-AI Collaboration explores how humans and artificial intelligence can work together—not in competition, but in partnership. This insightful guide demystifies the evolving relationship between human creativity, intuition, and empathy with machine precision, scale, and speed.

Quantum computing isn’t science fiction anymore—it’s becoming a real competitive edge. As breakthroughs accelerate, companies need developers who can bridge today’s systems with tomorrow’s quantum-powered capabilities. That’s where Quantum-Ready Development comes in. This practical and forward-looking guide equips modern software engineers, architects, and tech leaders with the tools, mindset, and frameworks to prepare for quantum integration without waiting for the future to arrive.

The future of intelligent technology isn't in distant data centers—it's at the edge. From self-driving cars and smart cameras to industrial automation and personalized healthcare, Edge AI is powering a new generation of ultra-responsive, real-time systems. In this action-oriented guide, you’ll discover how Edge AI and edge computing work together to deliver lightning-fast insights, reduced latency, and privacy-first intelligence—all without relying on the cloud.

As generative AI rapidly moves from the fringes of innovation into the core of modern business operations, organizations must adapt or risk falling behind. Generative AI in the Workplace offers a comprehensive guide to understanding and integrating this transformative technology to drive efficiency, unlock creativity, and reshape the very fabric of workplace culture.

Energy-Efficient Computing: Designing Sustainable Systems for Performance, Power Optimization, and a Greener Digital Future delivers a comprehensive, forward-looking exploration of how modern computing systems can be engineered to balance performance demands with the urgent need for sustainability. As data centers grow, AI workloads scale, and edge devices proliferate, energy-efficient design is no longer optional—it is essential for the future of digital innovation.

The Internet of Things (IoT) is transforming our world—connecting physical devices, enabling real-time decision-making, and opening new possibilities across industries. Whether you're an aspiring engineer, tech enthusiast, or business professional, Introduction to Internet of Things is your gateway to understanding how IoT works and how to build intelligent, connected solutions from the ground up.

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

As the digital world becomes more connected and data privacy concerns grow, traditional centralized machine learning models face serious limitations. Federated Learning presents a revolutionary approach—enabling intelligent agents to learn collaboratively across decentralized devices while keeping sensitive data where it originates.

In today’s fast-paced digital world, success hinges on more than just writing code—it’s about creating a culture that brings development and operations together with shared goals, trust, and rapid delivery. DevOps Culture offers a comprehensive guide to transforming your organization into a high-performing, collaborative, and resilient software powerhouse. This book goes beyond tools and automation to explore the mindset, values, and practices that define successful DevOps adoption. You'll discover how to break down silos, improve feedback loops, and foster continuous learning across teams.

Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in — and regulators can approve.

As businesses increasingly rely on cloud technologies, traditional application architectures struggle to keep pace with demands for scalability, agility, and resilience. Cloud-Native Architecture is your essential guide to designing and building modern applications optimized for the cloud environment.

AI-Powered Assistants is your must-have guide to building, using, and thriving with intelligent virtual agents that think, act, and adapt. Whether you're a business leader looking to boost productivity, a developer eager to build the next-gen assistant, or simply curious about how AI is reshaping our digital lives, this book shows you how to make the most of the AI revolution.

In an era where IT environments are growing more complex and dynamic, traditional monitoring and management approaches can no longer keep up. AIOps: Automating IT Operations with Artificial Intelligence explores how artificial intelligence and machine learning are revolutionizing the way organizations manage, optimize, and future-proof their IT operations.

As cyber threats become more advanced, persistent, and automated, so must our defenses. AI-Enhanced Cybersecurity explores how artificial intelligence is transforming the way organizations detect, respond to, and anticipate cyberattacks across digital ecosystems.

As artificial intelligence evolves beyond narrow task execution, a new frontier is emerging—Building Agency AI, where intelligent systems are designed to act with autonomy, adapt to uncertainty, and pursue goals independently.

In the age of artificial intelligence, machine learning, and data-driven innovation, the quality and quantity of data have become critical to success. Yet real-world data is often incomplete, biased, sensitive, or scarce. Data Generation explores how synthetic, real, and simulated data can be strategically created and used to overcome these limitations—fueling smarter systems, scalable solutions, and more ethical outcomes.