High Performance Privacy Preserving AI
Artificial intelligence (AI) depends on data. In sensitive domains - such as healthcare, security, finance, and many more - there is therefore tension between unleashing the power of AI and maintainin...
Information Theory for Data Science
Information theory deals with mathematical laws that govern the flow, representation and transmission of information, just as the field of physics concerns laws that govern the behavior of the physica...
RF Filter Technology For Dummies, 2nd Edition
The implementation of 5G and wireless applications is accelerating worldwide, along with the drive to deliver high data rates and high data capacity. This creates new challenges for wireless technolog...
Internet of Things For Dummies, 2nd Edition
The Internet of Things (IoT) is creating a new world - a quantifiable and measurable world - in which people can better manage their lives, cities can better manage their infrastructure, and companies...
Machine Learning at Enterprise Scale
Enterprises in traditional and emerging industries alike are increasingly turning to machine learning (ML) to maximize the value of their business data. But many of these teams are likely to experienc...
Creating a Data-Driven Enterprise in Media
The data-driven revolution is finally hitting the media and entertainment industry. For decades, broadcast television and print media relied on traditional delivery channels for solvency and growth, b...
What Is eBPF?
In just the past few years, the extended Berkeley Packet Filter (eBPF) has gone from relative obscurity to one of the hottest technology areas in modern infrastructure computing. With this report, Liz...
An Introduction to Cloud Databases
Cloud deployments have not only changed the way companies run mission critical databases; they've also transformed the roles of many people in production. With this practical report, database and syst...
Resilient Web Design
Jeremy Keith begins by noting that the title Resilient Web Design might suggest a handbook for building robust websites, but clarifies that it is not a handbook - it is more like a history book. The t...
IBM Synthetic Data Sets
IBM Synthetic Data Sets is a family of artificially generated, enterprise-grade datasets that enhance predictive artificial intelligence (AI) model training and large language models (LLMs) to benefit...
AI Toolkit for IBM Z and LinuxONE
The AI Toolkit for IBM Z and LinuxONE is a comprehensive suite of tools designed to streamline the development and deployment of AI models on IBM's enterprise-grade platforms. This toolkit empowers de...
Automating the Modern Data Warehouse
The opportunity to modernize and improve the enterprise data warehouse is one of the best reasons for moving your application to the cloud. A data warehouse can access a greater diversity of use cases...
Understanding the InnerSource Checklist
Although many large corporations are reluctant to release the software they use in-house publicly as open source, those companies can still use principles and processes of open source for developing t...
Aria Automation For Dummies
In today's rapidly evolving digital landscape, staying ahead requires organizations to embark on infrastructure modernization initiatives. However, this effort is not without challenges. Managing dive...
Cyber Security Awareness For Dummies
Over the past decade, the cyber security landscape has changed dramatically. According to Cybersecurity Ventures, by 2021, the global cost of cybercrime is expected to reach $6 trillion, making it mor...
Digital Transformation in Design
What does it take to create innovative tech-savvy designs that are usable, appealing, and good for society? The contributions to this open book introduce contemporary research on the digitization and...
JavaScript: The First 20 Years
How a sidekick scripting language for Java, created at Netscape in a ten-day hack, ships first as a de facto Web standard and eventually becomes the world's most widely used programming language. This...
Statistical Analysis of Networks
This open book is a general introduction to the statistical analysis of networks, and can serve both as a research monograph and as a textbook. Numerous fundamental tools and concepts needed for the a...