Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem.
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis.
This textbook presents the fundamentals of both transactional and analytical enterprise information systems, including their operation and integration in a system landscape.
Explore themes often glossed over in traditional Agile texts: navigating the transition from a technical architect to a servant leader, handling conflicting priorities and leadership misalignments, and managing value delivery in client-driven environments where frameworks alone are not enough.
This book is a comprehensive guide designed to equip you with the practical skills and knowledge necessary to tackle real-world data challenges using Open Source solutions.
Agentic Hyper-Personalized Dimensions – Six Dimensions of Business Dark Data explores how generative AI (Gen-AI), combined with agentic intelligence, can transform raw enterprise data into hyper-personalized, actionable insights.
Extending traditional digital platforms to the new frontier of extended reality (XR) requires taking into account what best practices, new concepts, and conventions have been established and what learnings can be brought forward from case studies involving industry leaders.
The evolution of AI isn’t just about predictive models and automation; it’s about the emergence of “agentic” capabilities—autonomous and specialized AI systems that operate with a sense of independence by acting on a user’s behalf.
Implementing Security with AI in GCP is a detailed guide designed to help professionals harness the power of artificial intelligence within Google Cloud Platform (GCP) to strengthen cloud security.
Today, organizations face significant pressure to rapidly innovate and respond to changing market demands, but many struggle to align engineering practices with overarching business goals.
From the elegance of the Black–Scholes equation to the complexity of multi-factor interest rate models and hybrid derivatives, this book is your comprehensive guide to quantitative finance, complete with 15+ advanced C++ projects using QuantLib and Boost.
As the Internet of Things (IoT) continues to reshape industries—from smart homes and healthcare to manufacturing and mobility—the need for robust, real-world security solutions has never been more urgent.
This book is a comprehensive guide designed to equip you with the practical skills and knowledge necessary to tackle real-world data challenges using Open Source solutions.
AI Identities introduces a groundbreaking concept: AI Agents should be recognized and governed as a new class of identity within enterprise environments.
Ob in der Datenerfassung, der Fan-Interaktion, der Trainingssteuerung oder der Sportmedizin - uberall sind die Auswirkungen von Digitalisierung und Innovation im sportlichen Kontext spurbar.
Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge.
Learn how to integrate model-based systems engineering (MBSE) with mission-driven requirements to create a connected framework that delivers reliable solutions designed with key objectives.
Generative AI (GenAI) is revolutionizing the financial services sector (FSS), offering new ways to enhance efficiency, improve customer experiences, and streamline operations.
