Informatik

A delightful, engaging, and comprehensive overview of interaction designEffective and engaging design is a critical component of any digital product, from virtual reality software to chatbots, smartphone apps, and more.In the newly updated sixth edition of Interaction Design: Beyond Human-Computer Interaction, a team of accomplished technology, design, and computing professors delivers an intuitive and instructive discussion of the principles underlying the design of effective interactive technologies. The authors discuss how to design and apply digital technologies in the real world, illustrated with numerous examples. The book explores the interdisciplinary foundations of interaction design, including skills from product design, computer science, human and social psychology, and others.The book builds on the highly successful fifth edition and draws on extensive new research and interviews with accomplished professionals and researchers in the field that reflect a rapidly-changing landscape. It is supported by a website hosting digital resources that add to and complement the material contained within.Readers will also find:* Explorations of the social and emotional components of interacting with apps, digital devices and computers* Descriptions about how to design, prototype, evaluate and construct technologies that support human-computer interaction* Discussions of the cognitive aspects of interaction design, as well as design and evaluation, including usability testing and expert reviews.An essential text for undergraduate and graduate students of human-computer interaction, interaction design, software engineering, web design, and information studies, Interaction Design will also prove to be indispensable for interaction design and user experience professionals.

Over 700 pages of insight into all things cybersecurityCybersecurity All-in-One For Dummies covers a lot of ground in the world of keeping computer systems safe from those who want to break in. This book offers a one-stop resource on cybersecurity basics, personal security, business security, cloud security, security testing, and security awareness. Filled with content to help with both personal and business cybersecurity needs, this book shows you how to lock down your computers, devices, and systems--and explains why doing so is more important now than ever. Dig in for info on what kind of risks are out there, how to protect a variety of devices, strategies for testing your security, securing cloud data, and steps for creating an awareness program in an organization.* Explore the basics of cybersecurity at home and in business* Learn how to secure your devices, data, and cloud-based assets* Test your security to find holes and vulnerabilities before hackers do* Create a culture of cybersecurity throughout an entire organizationThis For Dummies All-in-One is a stellar reference for business owners and IT support pros who need a guide to making smart security choices. Any tech user with concerns about privacy and protection will also love this comprehensive guide.

The bestseller in IT architecture. If you want to understand IT architecture, this book is for you. It covers many different areas, from strategy to business, technology, and software architecture. Are you working as an IT architect, student, developer, CTO, project manager, or IT professional? If so, this book will help you understand how IT architecture can help address the complexity in a modern organization. It will give you a deeper understanding of the concepts, methods, tools, models, organizations, and frameworks involved. It also covers the social and human aspects of working as an IT architect. Enterprise Architecture, The EA function, Strategy, Organization... Business Architecture, Understanding the business, Modeling, Practical advice… Solution Architecture, Integration, Infrastructure, Security…Software Architecture, Quality attributes, Agility and Lean, DevOps, cloud, AI…… and a lot more. Daniel Akenine is a physicist, technologist, writer, and former neuroscientist. He works as a National Technology Officer for Microsoft, specializing in the impact technology has on society. In 2015 he was appointed to IASA Fellow and ranked as one of the top IT-architects worldwide. He is a member of ISO’s international expert group for cloud standards, co-founder of two technology companies and holds patent applications in Europe and the United States in applied cryptography. Daniel is one of ten advisors to the Swedish Minister of Digitalization and a fiction writer with the latest novel 11 grams of truth about privacy and power in our modern society.

Vi står midt i et opgør om fremtiden. I løbet af kun to årtier har den digitale revolution revet voldsomt op i den verden, vi kender. Nye teknologier, der skulle frisætte mennesker fra undertrykkelse og fattigdom, har forårsaget store sociale, politiske og økonomiske opbrud. For mens alverdens virksomheder og organisationer kaster sig frådende over Silicon Valleys opfindelser, siger en voksende modstandsbevægelse af politikere, eksperter og aktivister stop.Vores digitale verden er fuld af besværlige dilemmaer og frustrerende paradokser. Sociale medier har givet undertrykte borgere en stemme i demokratiet, men også spredt propaganda og trusler i et formentlig hidtil uset omfang. Smartphones har åbnet en ny verden af viden og kultur for folk, men bliver kritiseret for at gøre brugerne ulykkelige. Droner hjælper nødhjælpsorganisationer med at skabe fremgang i skrøbelige lande, men er samtidig kilde til drab på civile i Afghanistan. De nye teknologier rummer mange muligheder, men har også vist sig at kunne skade samfundet og almindelige mennesker.Vi ser på de fremskridt, som også er en forbandelse, fordi det hele går så stærkt, fordi udviklingen påvirker alle sider af vores liv, og fordi mennesker sjældent forstår virkningerne af det, de har fundet på, før problemerne melder sig. Bogen tager læseren i hånden, gør udviklingen konkret og klæder læseren på til at tage del i de diskussioner om tech, apps og data, som berører os alle.

De digitale intelligenser har været undervejs i mange årtier. Men nu har de for alvor fået deres folkelige gennembrud. I 2023 var flere af dem i stand til at løse intelligens- og kreativitetstests væsentligt bedre end end de fleste mennesker. 2023 blev også året hvor de erhvervede en slags ytringsfrihed.Med AI Strategi - drejebog for digital intelligens, sætter Jesper Bove-Nielsen scenen for forretningsmæssig og strategisk anvendelse af digital intelligens i bred forstand. Det er ikke en bog om ChatGPT eller "prompt-engineering" - men en ledelses- og strategibog der sætter læseren i stand til at forstå, forklare og søsætte en strategi for digital intelligens for virksomheden.Bogen er både tankevækkende og dyb, provokerende og praktisk. Den er sprængfyldt med modeller der kan benyttes til at sætte strategiarbejdet i gang i såvel store som mindre virksomheder.

Amid the discourse surrounding the controversial role of generative AI in education, this book goes beyond the hype to explore the opportunities and challenges of the technology in K-tertiary education. It explores the broader landscape of generative AI, offering invaluable insights into its workings and ethical considerations.

Gain a competitive edge in today's data-driven world and build a rich career as a data professional that drives business success and innovation...Did you know that every minute, people around the world make 5.9 million searches on Google, share 1.7 million posts on Facebook, and watch 1 million hours of videos? And that's not even all of it! In total, the world creates a massive 328 million terabytes of data every day!Data is everywhere... and it has become the essential building block of this modern society, shaping the future of businesses, technology, and human interactions.It's no wonder that data professional roles, such as data analysts, data scientists, and data architects are now highly in demand in this data-driven world. And that's why now is the perfect time to pursue a career in data.But what does it take to become a competent data professional? This book has all the answers!Building a successful career in data is all about cultivating the necessary mindset, knowledge, and skills. This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.Here is just a fraction of what you will discover:A comprehensive guide to the data analytics process - a beginner-friendly 5-step framework to kickstart your journey into analyzing and processing dataHow to get started with the fundamental concepts, theories, and models for accurately analyzing dataEverything you ever needed to know about data mining and machine learning principles - your gateway to unlocking the secrets of data's hidden potentialWhy business run on a data-driven culture, and how you can leverage it using real-time business intelligence analyticsStrategies and techniques to build a problem-solving mindset that can overcome any complex and unique datasetHow to create compelling and dynamic visualizations that help generate insights and make data-driven decisionsThe 4 pillars of a new digital world - discover how emerging technologies will transform the landscape of analyzing dataAnd much more.Believe it or not, you can be terrible in math or statistics and still pursue a career in data. Yes, you need a good grasp of the basics but always keep in mind that knowledge can be acquired and skills can be developed.The key is to not be intimidated by the strings of characters and numbers. Focus, instead, on building a mindset that thirsts for knowledge. You'll be surprised by how much you're able to do with just that. And this book is here to guide you throughout this journey, so that crunching data becomes second nature to you.So, what are you waiting for? Ready to master the fundamentals and build a successful career in data analytics?

2024 Edition - Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository.Purchase of the print or Kindle book includes a free PDF eBook.Key Features:- Learn how to leverage LangChain to work around LLMs' inherent weaknesses- Delve into LLMs with LangChain and explore their fundamentals, ethical dimensions, and application challenges- Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into realityBook Description:ChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. It demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis - illustrating the expansive utility of LLMs in real-world applications.Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.What You Will Learn:- Create LLM apps with LangChain, like question-answering systems and chatbots- Understand transformer models and attention mechanisms- Automate data analysis and visualization using pandas and Python- Grasp prompt engineering to improve performance- Fine-tune LLMs and get to know the tools to unleash their power- Deploy LLMs as a service with LangChain and apply evaluation strategies- Privately interact with documents using open-source LLMs to prevent data leaksWho this book is for:The book is for developers, researchers, and anyone interested in learning more about LangChain. Whether you are a beginner or an experienced developer, this book will serve as a valuable resource if you want to get the most out of LLMs using LangChain.Basic knowledge of Python is a prerequisite, while prior exposure to machine learning will help you follow along more easily.Table of Contents- What are Generative Models?- LangChain: Core Fundamentals- Getting started with LangChain- Question Answering over Docs- Building a Chatbot like ChatGPT/Bard- Developing Software with LangChain Coder- LLM for Data Analysis- Prompt Engineering- LLM applications in Production- The Future of Generative Models

Despite 75 years of the Universal Declaration on Human Rights, many people around the world still do not enjoy their basic rights to life, liberty and fundamental freedoms of thought and expression. Yet we are already seeing a turn towards the possibility of rights for robots. Before we get distracted by corporate hype about the sentience of AI, we need to look at the multitudinous ways AI affects our rights and will continue to do so in the age of AI.From sex robots, to the algorithms that determine prison parole and custody issues, to the chilling ways in which ChatBots can influence our day to day decision-making, Human Rights, Robot Wrongs is a perceptive and vital exploration of the many ways in which artificial intelligence is coming into conflict with human rights - and most importantly how we protect them.

'An invaluable companion for anyone who wants a deep understanding of what's under the hood of often inscrutable machines' Melanie Mitchell A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine-learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems.We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. It took the development of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.As Ananthaswamy resonantly concludes, to make the most of our most wondrous technologies we need to understand their profound limitations - the clues lie in the maths that makes AI possible.

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI.Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. Yoüll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains.Whether you're a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights.What You Will LearnGain a solid understanding of generative AI, starting from the basics of neural networks and progressing to complex architectures like ChatGPT and Google BardImplement large language models using Sklearn, complete with code examples and best practices for real-world applicationLearn how to integrate LLM¿s in enterprises, including aspects like LLMOps and technology stack selectionUnderstand how generative AI can be applied across various industries, from healthcare and marketing to legal compliance through detailed use cases and actionable insightsWho This Book Is ForData scientists, AI practitioners, Researchers and software engineers interested in generative AI and LLMs.

Interested in developing embedded systems? Since they dont tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate a host of good development practices, based on classic software design patterns and new patterns unique to embedded programming. Learn how to build system architecture for processors, not operating systems, and discover specific techniques for dealing with hardware difficulties and manufacturing requirements.Written by an expert whos created embedded systems ranging from urban surveillance and DNA scanners to childrens toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use.Optimize your system to reduce cost and increase performanceDevelop an architecture that makes your software robust in resource-constrained environmentsExplore sensors, motors, and other I/O devicesDo more with less: reduce RAM consumption, code space, processor cycles, and power consumptionLearn how to update embedded code directly in the processorDiscover how to implement complex mathematics on small processorsUnderstand what interviewers look for when you apply for an embedded systems job"e;Making Embedded Systems is the book for a C programmer who wants to enter the fun (and lucrative) world of embedded systems. Its very well writtenentertaining, evenand filled with clear illustrations."e;Jack Ganssle, author and embedded system expert.

"In this hands-on guidebook, Windows security expert and bug hunter Forshaw distills his knowledge and describes the system in great depth. Readers learn the core components and features of the Microsoft Windows threat-mitigation system with in-depth technical discussions and real-world examples"--

"From the founder of Khan Academy, the first book written for general audiences on the AI revolution in education, its implications for parenting, and how we can best harness its power for good"--

In a world where technology is rapidly evolving, the fusion of project management and artificial intelligence stands at the forefront of innovation. The AI Revolution in Project Management delves deep into the transformative power of generative AI tools that promise to reshape industries, and revolutionize how we manage projects. Whether you're looking to build dynamic teams using AI, choose a project development approach, or monitor project performance, this book has got you covered. Each chapter provides insightful narratives and includes a supplemental Technical Guide that provides tips on using the AI technology. With case studies and prompts, the dialogues showcase AI in action, from stakeholder engagement to risk management. Dive in with experts whove spent countless hours using these AI tools in project scenarios to offer a transparent view into generative AI-driven project management. In this book you'll learn: How to create prompts that generate meaningful and actionable insights tailored for your projects When to use AI to enhance decision-making, super-charge productivity, and elevate overall project efficiency Which generative AI models and plug-ins to use for specific project scenarios, ensuring seamless integration and maximum efficiency "AI is not just a buzzword; its a tool reshaping how we manage projects and engage with stakeholders." - From the Foreward by Ricardo Viana Vargas, Ph.D. Ricardo is an experienced leader in global operations, project management, business transformation, and crisis management. As founder and managing director of Macrosolutions, a consulting firm with international operations in energy, infrastructure, IT, oil, and finance, he managed more than $20 billion in international projects in the past 25 years. UpdateAs AI products continue to evolve, information published in this book may change. Please note that as of February 2024, there is a name change for Bing Chat and Bard Chat.Microsoft Bing Chat is now Copilot: https://copilot.microsoft.com/. Google Bard is now Gemini: https://gemini.google.com/.

"Messy code is a nuisance. 'Tidying' code, to make it more readable, requires breaking it up into manageable sections. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might apply tidyings to improve your code while keeping the overall structure of the system in mind. Instead of trying to master tidying all at once, this book lets you try out a few examples that make sense for your problem. If you have a big function containing many lines of code, you'll learn how to logically divide it into smaller chunks. Along the way, you'll learn the theory behind software design: coupling, cohesion, discounted cash flows, and optionality."--Provided by publisher.

"What will you learn from this book? If you're a software developer looking for a quick on-ramp to software architecture, this handy guide is a great place to start. From the authors of Fundamentals of Software Architecture, Head First Software Architecture teaches you how to think architecturally and explores the unique challenges of software architecture. You'll learn the distinction between architecture and design and the relationship between code, components, and architectural styles. You'll also learn how to work with some common architectural styles through vivid, fun examples. Quick, easy, and entertaining, this book is a valuable introduction to the world of software architecture. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Software Architecture uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works."--Amazon.com.

In this book, author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects.

Kunstig intelligens, også kaldet AI, vil fuldkommen revolutionere verden, som vi kender den. Med AI’s indtog er der ét område, der er vigtigere end noget andet at vende sig imod, hvis vi for alvor vil forstå hvilke konsekvenser, faldgruber og potentialer, som den kunstige intelligens rummer: Kunsten og kulturen. Det er den, der rummer den reneste udgave af den menneskelige skaberkraft – og dermed vores unikke evne til at frembringe kreative løsninger, tanker og værker.Lige siden mennesket begyndte at lave hulemalerier for titusinder af år siden har kunsten og kulturen udgjort en aktiv, eksplicit og kollektiv form for refleksion over livet og dets grundlæggende vilkår, dilemmaer og formål. Den kunstneriske og kreative praksis har gennem disse titusinder af år været entydigt menneskelig. Ingen andre levende væsner har menneskets kreative skaberkraft eller evnen til at frembringe kunst.Men med AI forholder det sig ikke længere sådan. Det kan lyde ganske dystert, men helt sikkert er det, at AI vil trumfe igennem og transformere kunsten og kulturen. Så hvordan skal vi forstå de udfordringer, som AI repræsenterer? Og hvordan kan vi omdanne dem til muligheder, der kan styrke de menneskelige kvaliteter ved kunsten og kulturen? Det er præcis dét, som Christian Have med denne bog ønsker at give de bedst mulige svar på. En bog, der i øvrigt er blevet til i samarbejde med AI.Om forfatterChristian Have er forfatter, debattør, foredragsholder og indehaver af HAVE A/S, som er Skandinaviens største kommunikationsbureau på kulturområdet. Han har udgivet 10 bøger om kultur, kommunikation og nye, kreative partnerskaber på tværs af kultur- og erhvervslivet.E-bogen er lavet i fixed format

Design robust graph neural networks with PyTorch Geometric by combining graph theory and neural networks with the latest developments and appsPurchase of the print or Kindle book includes a free PDF eBookKey Features:Implement state-of-the-art graph neural network architectures in PythonCreate your own graph datasets from tabular dataBuild powerful traffic forecasting, recommender systems, and anomaly detection applicationsBook Description:Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years have seen an explosion in the use of graph neural networks, with their application ranging from natural language processing and computer vision to recommendation systems and drug discovery.Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you'll explore major graph neural network architectures and learn essential concepts such as graph convolution, self-attention, link prediction, and heterogeneous graphs. Finally, the book proposes applications to solve real-life problems, enabling you to build a professional portfolio. The code is readily available online and can be easily adapted to other datasets and apps.By the end of this book, you'll have learned to create graph datasets, implement graph neural networks using Python and PyTorch Geometric, and apply them to solve real-world problems, along with building and training graph neural network models for node and graph classification, link prediction, and much more.What You Will Learn:Understand the fundamental concepts of graph neural networksImplement graph neural networks using Python and PyTorch GeometricClassify nodes, graphs, and edges using millions of samplesPredict and generate realistic graph topologiesCombine heterogeneous sources to improve performanceForecast future events using topological informationApply graph neural networks to solve real-world problemsWho this book is for:This book is for machine learning practitioners and data scientists interested in learning about graph neural networks and their applications, as well as students looking for a comprehensive reference on this rapidly growing field. Whether you're new to graph neural networks or looking to take your knowledge to the next level, this book has something for you. Basic knowledge of machine learning and Python programming will help you get the most out of this book.

An illustrated guide from an Ableton Certified Trainer to enhance your Live music production skills with MIDI, audio sequencing and arrangement techniques, automation, modulation, MPE, and external instrumentsKey Features- Make the most of Ableton Live 11 tools and processes to create, record and edit your own music- Engage with non-linear workflow for both music production and live performance- Unveil the best solutions to common pitfalls and mistakes committed by Ableton Live users- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe Music Producer's Guide to Ableton Live will help you sharpen your production skills and gain a deeper understanding of the Live workflow. If you are a music maker working with other digital audios workstations (DAWs) or experienced in Ableton Live, perhaps earlier versions, you'll be able to put your newfound knowledge to use right away with this book.You'll start with some basic features and workflows that are more suitable for producers from another DAW looking to transfer their skills to Ableton Live 11.2. As you explore the Live concept, you'll learn to create expressive music using Groove and MIDI effects and demystify Live 11's new workflow improvements, such as Note Chance and Velocity Randomization. The book then introduces the Scale Mode, MIDI Transform tools, and other key features that can make composition and coming up with melodic elements easier than ever before. It will also guide you in implementing Live 11's new and updated effects into your current workflow.By the end of this Ableton Live book, you'll be able to implement advanced production and workflow techniques and amplify live performance capabilities with what the Live 11 workflow has to offer.What you will learn- Understand the concept of Live, the workflow of recording and editing audio and MIDI, and warping- Utilize Groove, MIDI effects, and Live 11 s new workflow enhancements to create innovative music- Use audio to MIDI conversion tools to translate and generate ideas quickly- Dive into Live's automation and modulation capabilities and explore project organization techniques to speed up your workflow- Utilize MIDI Polyphonic Expression to create evolving sounds and textures- Adopt useful techniques for production and discover the capabilities of live performanceWho this book is forIf you are a music producer, enthusiast, or hobbyist with a basic understanding of using Ableton Live for simple projects, this Ableton Live 11 book will help you improve your skills to employ the best features and techniques in your projects. This book is also for producers familiar with other DAWs looking to leverage their transferable skills to learn Ableton Live.Table of Contents- Taking a Quick Tour of Ableton Live 11- Recording Audio in Ableton Live 11- Editing Audio and Warping- Exploring MIDI Sequencing Techniques- MIDI Editing and MIDI Effects- Comping and Track Linking- Discovering Some of Live 11's Creative Audio Effects- Exploring Device Racks in Live 11- Audio to MIDI Conversion, Slicing to MIDI, and the Simpler Device- Utilizing Arrangement and Organization Techniques in our Ableton Live Project- Implementing Automation and Modulation- Getting Started with MPE in Ableton Live 11- Exploring Tempo Follower, Follow Action and Max For Live, Working with Video, and Ableton Note- Exploring MIDI Mapping, External Instruments, and MIDI CCs- Playing Live- Interesting Mixing Techniques in Live 11- Troubleshooting and File Management

Nobody expected this--not even its creators: ChatGPT has burst onto the scene as an AI capable of writing at a convincingly human level. But how does it really work? What's going on inside its "AI mind"? In this short book, prominent scientist and computation pioneer Stephen Wolfram provides a readable and engaging explanation that draws on his decades-long unique experience at the frontiers of science and technology. Find out how the success of ChatGPT brings together the latest neural net technology with foundational questions about language and human thought posed by Aristotle more than two thousand years ago.

Artificial intelligence is everywhere-powering news feeds, curating search results and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes its answers seem eerily smart.... Until they don't.Billions of dollars have been poured into AI yet it keeps surprising us with its epic fails-confidently wrong chatbots, inadvertently racist photo apps, well-meaning autonomous cars that fail to recognize traffic cones.Industry insider Emmanuel Maggiori cuts through the hype, revealing the deceptively simple mechanisms behind AI's impressive results-and its spectacular blunders.Learn the dark secret of the AI industry-how unreasonable expectations, shady practices and outright lying have inflated a bubble of monumental proportions.Read Smart Until It's Dumb to discover how AI really works, why it's not always so smart, and why the AI bubble is about to burst.***Emmanuel Maggiori, PhD, is a 10-year AI industry insider, specialized in machine learning and scientific computing. He helps companies build complex software. He has developed AI for a wide variety of applications, from extracting objects from satellite images to packaging holiday deals for millions of travelers every day.

This expansive publication follows up on TASCHEN's Information Graphics with more than 280 contemporary and vintage visualizations to help us understand our world, including seven fold-out spreads. Spanning the present state, and historical shaping, of society, culture, technology, economics and the environment, this is at once a showcase of...

As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, youll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption.Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.Examine data management trends, including technological developments, regulatory requirements, and privacy concernsGo deep into the Scaled Architecture and learn how the pieces fit togetherExplore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions such as: What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases? What does "anonymized data" really mean? How do I actually anonymize data? How does federated learning and analysis work? Homomorphic encryption sounds great, but is it ready for use? How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help? How do I ensure that my data science projects are secure by default and private by design? How do I work with governance and infosec teams to implement internal policies appropriately?

A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.