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Podcasts
Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
As organizations worldwide seek to revamp their data strategies to leverage AI advancements and benefit from newfound capabilities, data quality emerges as the cornerstone for success. Without high-quality data, even the most advanced AI models falter. Enter Data Quality in the Age of AI, a detailed report that illuminates the crucial role of data quality in shaping effective data strategies.Packed with actionable insights, this report highlights the critical role of data quality in your overall data strategy. It equips teams and organizations with the knowledge and tools to thrive in the evolving AI landscape, serving as a roadmap for harnessing the power of data quality, enabling them to unlock their data's full potential, leading to improved performance, reduced costs, increased revenue, and informed strategic decisions.
The AI Value Playbook. How to make AI work in the real world
Business leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created? This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.
F# is a functional programming language that allows you to write simple code for complex problems. Currently, it is most commonly used in the financial sector. Quantitative finance makes heavy use of mathematics to model various parts of finance in the real world. If you are interested in using F# for your day-to-day work or research in quantitative finance, this book is a must-have.This book will cover everything you need to know about using functional programming for quantitative finance. Using a functional programming language will enable you to concentrate more on the problem itself rather than implementation details. Tutorials and snippets are summarized into an automated trading system throughout the book.This book will introduce you to F#, using Visual Studio, and provide examples with functional programming and finance combined. The book also covers topics such as downloading, visualizing and calculating statistics from data.F# is a first class programming language for the financial domain.
API-centric architectures are foundational to delivering omnichannel experiences for an enterprise. With this book, developers will learn techniques to design loosely coupled, cloud-based, business-tier interfaces that can be consumed by a variety of client applications.Using real-world examples and case studies, the book helps you get to grips with the cloudbased design and implementation of reliable and resilient API-centric solutions. Starting with the evolution of enterprise applications, you'll learn how API-based integration architectures drive digital transformation. You'll then learn about the important principles and practices that apply to cloud-based API architectures and advance to exploring the different architecture styles and their implementation in Azure. This book is written from a practitioner's point of view, so you'll discover ideas and practices that have worked successfully in various customer scenarios.By the end of this book, you'll be able to architect, design, deploy, and monetize your API solutions in the Azure cloud while implementing best practices and industry standards.
Affinity Designer is a widely adopted creative application, and in a reasonably short space of time, it has become a leading design and illustration application. Affinity Designer, along with Affinity Photo and Affinity Publisher, is part of a suite of award-winning creative software applications developed by Serif Europe. Built on the latest technologies, which make it fast and smooth, Affinity Designer is quickly becoming the go-to professional creative application for vector drawing and pixel-based painting.Up and Running with Affinity Designer is a comprehensive hands-on guide to the Affinity Designer software. Whether you're new to the creative industry, a seasoned professional looking for a proven alternative, or an enthusiastic hobbyist, this book will help you get up to speed in no time. You’ll learn how to create documents and explore workflow best practices while working through practical exercises using the knowledge and skills developed in each chapter to solidify your understanding of the fundamentals. Finally, you’ll bring it all together with real-world practical applications by building a fun logo and professional illustration, forming a base for in-depth exploration in your own projects.By the end of this Affinity Designer book, you'll have gained the knowledge and confidence to use Affinity Designer as part of your creative toolset.
Until recently, writing applications using JavaScript and HTML was difficult, because developers had to make the user interface by themselves; however, this started changing with the introduction of JavaScript libraries such as jQuery, jQuery UI, and KnockoutJS. An extension of jQuery UI, Wijmo adds features and widgets on top of jQuery UI and makes it easier to add user interface widgets to HTML documents.Building UIs with Wijmo gives you a tour of what Wijmo offers at a glance. With code recipes and well-explained examples, you will be able to use Wijmo in no time. The book gives details on options not explained in the documentation and helps you avoid those that don't work. The examples only feature the necessary code, with recommendations and best practices.This book introduces Wijmo, grouping widgets by their common application area or usage. It walks the user through the features of the dialog widget with examples as an introduction to the library. Then, widgets for forms, images, tootips, and other topics are explored.Features only available in the Wijmo dialog widget compared to the jQuery UI widget are thoroughly explained with examples. Common form components such as checkboxes, dropdowns, and inputs have Wijmo counterparts which keep the theme consistent and add functionalities. When Wijmo is used with Knockout, the UI automatically refreshes when the data changes. This book takes it further with WebSockets for two way communication between the server and client. With Building UIs with Wijmo, you will learn all the common web development components in Wijmo. You will get started using Wijmo in no time.
Data Analysis with R. Click here to enter text
Tony Fischetti, Tony Fischetti
Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With over 7,000 user contributed packages, it’s easy to find support for the latest and greatest algorithms and techniques.Starting with the basics of R and statistical reasoning, Data Analysis with R dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples.Packed with engaging problems and exercises, this book begins with a review of R and its syntax. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with “messy data”, large data, communicating results, and facilitating reproducibility.This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst.