Видавець: K-i-s-publishing
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
Andy Pandharikar, Frederik Bussler
Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must.Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends.By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
Andy Pandharikar, Frederik Bussler
Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must.Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends.By the end of this artificial intelligence audiobook, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
James Gabriel
The rapid rise of generative AI is transforming every industry, yet most data analysts still write SQL manually, debug queries line by line, and build reports through slow, repetitive processes. AI-Powered Data Analyst bridges the gap between AI hype and practical adoption, showing you how to integrate AI tools into every stage of the analytics workflow.This hands-on guide demonstrates how to use ChatGPT, Claude, GitHub Copilot, and AI APIs across SQL development, data cleaning, exploratory analysis, Power BI and DAX, and automated reporting. You’ll learn to translate business questions into optimized queries, automate EDA in Python, generate synthetic test data, and create executive-ready reports in minutes instead of hours. Using real-world examples, reusable prompt templates, and before-and-after productivity comparisons, the book shows how AI augments analysts rather than replaces them. It also covers validation workflows, data privacy, bias, and governance to ensure AI-assisted outputs are accurate and defensible.By the end, you’ll work 5–10× faster and deliver higher-value strategic insights with confidence.
AI-Powered DevOps with LLMs. Applying Large Language Models to Software Delivery and SRE
Gu Huangliang, Zheng Qingzheng, Niu Xiaoling, Che...
If you work in software engineering, DevOps, SRE, or platform teams, this book written by enterprise digital transformation specialists demonstrates how large language models (LLMs) can enhance automation, software delivery, and operational reliability across modern engineering organizations. To build familiarity, the book begins hands-on with the technical underpinnings of LLMs, including Transformers, GPT architectures, and fine-tuning techniques such as LoRA and QLoRA. It then develops these foundations to demonstrate how retrieval-augmented generation (RAG) and agent-based systems can be embedded into real enterprise workflows. Across development, testing, operations, security, and project management scenarios, you will see how LLMs enhance code generation, automate testing, improve log analysis and incident response, support root cause analysis, and assist in risk-based decision-making. By the end of the book, you will be able to move from isolated model experimentation to scalable enterprise practice, designing intelligent DevOps and SRE workflows that are efficient, reliable, and strategically aligned.
Abhijit Dey, Srinivasan Shanmuganathan, David Roldán Martínez
In today’s FinTech landscape, AI is no longer optional, it’s non-negotiable. And it’s not here to replace product managers, but to enhance their skills and amplify their impact. This book is a comprehensive guide for product managers and FinTech innovators looking to harness generative AI and LLMs in financial services. As the industry moves beyond traditional apps into AI-driven platforms, this book offers a practical blueprint for building trust and driving innovation in a rapidly evolving landscape shaped by generative AI.Unlike other FinTech books that lean towards theory, this guide provides actionable, real-world insights. It covers foundational AI-first principles, offers deep dives into key FinTech verticals through success-and-failure case studies, and explores platform scaling and agentic AI. Each chapter centers on real scenarios including a FinTech startup case study to illustrate frameworks and best practices. You’ll learn to integrate AI responsibly, navigate regulatory hurdles, and design customer-centric, data-driven financial products. You’ll equip yourself with the practical tools and templates to confidently innovate within regulatory boundaries.By the end, you’ll be ready to design and scale AI-driven financial products, positioning yourself as a forward-thinking product leader in the AI-first FinTech era.
AI-Ready PostgreSQL 18. Building Intelligent Data Systems with Transactions, Analytics, and Vectors
Vibhor Kumar, Marc Linster, Ed Boyajian
In today’s data-first world, businesses need applications that blend transactions, analytics, and AI to power real-time insights at scale. Mastering PostgreSQL 18 for AI-Powered Enterprise Apps is your essential guide to building intelligent, high-performance systems with the latest features of PostgreSQL 18.Through hands-on examples and expert guidance, you’ll learn to design architectures that unite OLTP and OLAP, embed AI directly into apps, and optimize for speed, scalability, and reliability. Discover how to apply cutting-edge PostgreSQL tools for real-time decisions, predictive analytics, and automation. Go beyond basics with advanced strategies trusted by industry leaders. Whether you’re building data-rich applications, internal analytics platforms, or AI-driven services, this book equips you with the patterns and insights to deliver enterprise-grade innovation.Ideal for developers, architects, and tech leads driving digital transformation, this book empowers you to lead the future of intelligent applications. Harness the power of PostgreSQL 18—and unlock the full potential of your data.
Bogdan Brinzarea, Cristian Darie, Filip Chereches-Tosa
Assuming a basic knowledge of PHP, XML, JavaScript and MySQL, this book will help you understand how the heart of AJAX beats and how the constituent technologies work together. After teaching the foundations, the book will walk you through numerous real-world case studies covering tasks you'll be likely to need for your own applications:Server-enabled form-validation pageOnline chat collaboration toolCustomized type-ahead text entry solutionReal-time charting using SVGDatabase-enabled, editable and customizable data gridRSS aggregator applicationA server-managed sortable list with drag&drop support using the script.aculo.us JavaScript toolkitThe appendices guide you through installing your working environment, using powerful tools that enable debugging, improving, and profiling your code, working with XSLT and XPath.From the Author, Cristian Darie AJAX and PHP: Building Responsive Web Applications is mainly a book for beginners, but when designing its contents we tried to find the ideal blend of topics that would help both novice and experienced web developers make a big step forward. One customer was very kind to let us know, through a review, that we succeeded:The theory behind all the technologies used is very clearly explained, without boring you with details about obvious things. Right from the first chapter you start learning by examples. The examples can be easily adapted to many web projects and they cover stuff that is both useful and fun.Here are a few examples of such useful and fun things that you can find in this book:details on using proxy scripts to work around the security measures in modern browsersclient-side and server-side code that doesn't break when fed with special characters (such as
Akka Cookbook. Recipes for concurrent, fast, and reactive applications
Vivek Mishra, Héctor Veiga Ortiz
Akka is an open source toolkit that simplifies the construction of distributed and concurrent applications on the JVM. This book will teach you how to develop reactive applications in Scala using the Akka framework.This book will show you how to build concurrent, scalable, and reactive applications in Akka. You will see how to create high performance applications, extend applications, build microservices with Lagom, and more.We will explore Akka's actor model and show you how to incorporate concurrency into your applications. The book puts a special emphasis on performance improvement and how to make an application available for users. We also make a special mention of message routing and construction.By the end of this book, you will be able to create a high-performing Scala application using the Akka framework.