Tom Taulli – författare

Win the high-stakes game of short selling!

Short selling is growing in popularity—and for good reason. A smart shorting strategy can yield impressive profits while decreasing portfolio risk.

All About Short Selling reveals what you need to excel in this exciting form of trading—without making the classic “beginner’s” mistakes. An expert in the field, Tom Taulli provides a comprehensive game plan for playing—and winning—the short-selling game.

Avoiding complicated theories and overly technical explanations, All About Short Selling focuses only on what you need to know, including:

The benefits of short selling—from decreased overall portfolio risk to increased returns in tough marketsTips for analyzing balance sheets, income statements, and cash-flow statementsTechniques for managing and evaluating a portfolio that includes shorted investments

GENERATE BIG PROFITS WITH TODAY’S HOT TEST COMMODITIES!

During the average trading day, trillions of dollars’ worth of commodities change hands. If you want to snatch some profits from this booming market, you fi rst need to understand all the fundamentals—and All About Commodities is the place to go.

Without the confusing jargon and complex language of other investing guides, this book uses simple language to explain what drives price fluctuations of commodities—from energy, industrial metals, and mines to livestock, agriculture, and precious metals—and how to design a powerful, reliable strategy for profi ting from them. Learn everything there is to know about:

Using futures and options to enter the commodities marketRisks unique to commodities trading—and how to manage themWays to identify important patterns to steer your investing decisionsThe benefits and disadvantages of commodity funds

Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure transactions. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating traditional mainframes and applications with modern digital systems. By the end of this book, you'll have a solid understanding of the mainframe architecture and ecosystem, including core concepts and technologies such as COBOL, REXX, JCL, Db2, VSAM, and CICS. You'll also learn how to blend in newer technologies such as the cloud, AI and machine learning, and microservices. This handbook is indispensable for enterprises looking to thrive in the new digital world. Learn strategies and approaches for mainframe DevOps Create, update, and maintain existing mainframe code, and analyze and resolve common errors Apply modern approaches to the mainframe, including microservices, APIs, cloud, and AI and machine learning Work with datasets and databases and put together effective reports Understand how to work with modern cloud systems, like AWS, for pursuing data migration

Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, and design; coding; and debugging, testing, and documentation. With this practical book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Bard, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer).You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation.Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another.This book examines:The core capabilities of AI-based development toolsPros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhispererWays to use ChatGPT, Bard, Claude, and other generic LLMs for codingUsing AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testingPrompt engineering for developmentUsing AI-assisted programming for tedious tasks like creating regular expressions making chron jobs and GitHub ActionsHow to use AI-based low-code and no-code tools

The fastest, most effective way to prepare for the GitHub Copilot certification exam and hone your skills with the popular AI-powered programming tool In the GitHub Copilot Certification Study Guide, tech entrepreneur and Pluralsight trainer, Tom Taulli, delivers a concise and accurate walkthrough of the AI-powered programming tool. Perfect for everyone preparing to take the new GitHub Copilot Certification exam, as well as programmers who regularly use the tool in their day-to-day work, this Study Guide helps you optimize your software development workflows, understand the structure of the test, and learn the material covered by it. This book explains every topic covered by the GitHub Copilot Certification exam, including: Responsible AIGitHub Copilot plans and featuresThe inner workings of GitHub Copilot and how it handles dataPrompt crafting and prompt engineeringDeveloper use casesTesting workflows with GitHub CopilotPrivacy fundamentals and context exclusionsFrom step-by-step tutorials of the GitHub Copilot installation process to proven exam-taking techniques from the experts at Sybex, the GitHub Copilot Certification Guide explores everything you need to understand to succeed on the test and improve your on-the-job coding performance. It offers: Job-ready strategies and techniques for avoiding common generative AI-enhanced programming pitfalls and making use of its many benefitsUp-to-date descriptions of the most useful features and functions of GitHub Copilot, including Copilot EditsComplimentary access to a practice Assessment Test, a Practice Exam, 100 digital flashcards, and a glossary of key terms on the Sybex online learning environmentGenerative AI tools, like GitHub Copilot, have transformed the software engineering and programming landscapes. If you're preparing for the certification exam, or you wish to expand your AI coding skillset, grab a copy of the GitHub Copilot Certification Study Guide today.

In just under a decade, Facebook has gone from a Harvard prodigy's dorm-room experiment to an essential part of the social life of hundreds of millions of children, teens, and adults across the globe. It's no surprise, then, that the company has been the subject of countless magazine articles, books, and even movies. But despite the extensive coverage that has been given to the company in the years since founder Mark Zuckerberg first took Facebook live on Harvard's server, one question remains unanswered: From a business standpoint, how, exactly, did Facebook do it?How did a college student with no real-world business experience take a relatively simple idea and then, less than ten years later, turn it into a $100 billion dollar company? What specific steps did Facebook take along its journey to creating perhaps the most innovative startup of the 21st century? What approach did it take when pitching venture capitalists, and how did it go about forging its many strategic partnerships? And, most importantly, how can would-be founders learn and effectively utilize Facebook's unique techniques and strategies in their own startup efforts? In How to Create the Next Facebook, tech guru Tom Taulli answers all of these questions and more, crystallizing the process by which Facebook was shepherded from idea to IPO to provide a guided blueprint for budding entrepreneurs who are ready to start building their own great business.Regardless of what stage of development your startup is in, How to Create the Next Facebook provides you with clear, compelling, and ultimately actionable advice extracted from Facebook's startup success story. You'll learn how Facebook handled the very same situations your startup is confronting—from how it arrived at its mission statement to what its priorities were during its talent search process—before gaining access to all the concrete, practical guidance you need to make the right decisions for yourcompany and continue moving forward with confidence. And, of course, because Facebook didn't get everything right at first, author Tom Taulli painstakingly details the company's most costly mistakes, documenting everything from its protracted legal struggles to its many failed attempts at establishing multiple revenue streams, so that you can arm your company against the various challenges that threaten to sink even the very best startups.By the time you turn the final pages of How to Create the Next Facebook, you'll realize that Facebook is more than just a fun place to catch up with old friends; it is the ideal model to follow for those who, like you, are ready to build the world's next great startup.

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success.Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, andfuture impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking.What You Will LearnStudy the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is ForReaders without a technical background, such as managers, looking to understand AI to evaluate solutions.

While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to  automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you’ll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you’ll also see that the technology significantly increases compliance – leading to fewer issues with regulations – and minimizes costly errors. RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to exceed $1 billion by the end of 2019. It is generally seamless with legacy IT environments, making it easier for companies to pursue a strategy of digital transformation and can even be a gateway to AI. The Robotic Process Automation Handbook puts everything you need to know into one place to be a part of this wave.What You'll LearnDevelop the right strategy and planDeal with resistance and fears from employeesTake an in-depth look at the leading RPA systems, including where they are most effective, the risks and the costsEvaluate an RPA systemWho This Book Is For IT specialists and managers at mid-to-large companies

AI is one of the fastest growing corners of the tech world. But there remains one big problem: many AI projects fail. The fact is that AI is unique among IT projects. The technology requires a different mindset, in terms of understanding probabilities, data structures and complex algorithms. There is also a need to deal with complex issues like ethics and privacy.This is where Implementing AI Systems comes in. You'll learn the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies. This book puts everything you need to know into one place – that is, it’s the handbook you need for AI. You’ll focus primarily on understanding the core concepts for AI like NLP, Machine Learning, Deep Learning and so on.This book will help you find the right areas to apply AI.What You’ll LearnPut together an effective data strategyCreate models and how to successfully test themEvaluate AI toolsAssemble the right teamScale AI across an organizationWho This Book Is ForPrimarily for managers, IT professionals and executives of mid-size and large companies wanting to implement AI in their organization.

Gain a basic foundation of essential personal finance issues and strategies, specifically geared towards tech professionals. The book will build on the concepts, such as going from the basics of investments to more advanced topics like alternative investments and tax strategies.In the U.S., about 6 million tech startup employees have stock options.  The result is that this can often be the biggest source of wealth, sometimes reaching into the millions.  Yet there are many financial and tax complications that have been aggravated with the transition to remote work. This can mean lower returns and missed opportunities, and in some cases, employees may even be subject to actions from the IRS and local tax agencies.  The Personal Finance Guide For Tech Professionals is packed with actionable advice and covers the main areas that any tech professional will face.What You'll LearnTrack and analyze investments with fintech appsImprove the results of freelance work, such as with strategies to lower taxesProtect your hard-earned assets with insurance and the establishment of entities like LLCsWho This Book Is ForThe main focus will be on tech employees who get equity compensation.  This spans from entry level people to senior executives.

Web3 is the next evolution for the World Wide Web based on Blockchain technology. ​This book will equip entrepreneurs with the best preparation for the megatrend of Web3 by reviewing its core concepts such as DAOs, tokens, dApps, and Ethereum.With Web2, much of the valuable data and wealth has been concentrated with a handful of mega tech operators like Apple, Facebook, Google and Amazon. This has made it difficult for startups to get an edge. It has also meant that users have had little choice but to give up their value data for free. Web3 aims to upend this model using a decentralized approach that is on the blockchain and crypto. This allows for users to become stakeholders in the ecosystem. Along with exploring core concepts of Web3 like DAOs, tokens, dApps, and Ethereum, this book will also examine the main categories that are poised for enormous opportunities. They include infrastructure, consumer apps, enterpriseapps, and the metaverse.  For each of these, I will have use cases of successful companies. How To Create a Web3 Startup  covers the unique funding strategies, the toolsets needed, the talent required, the go-to-market approaches, and challenges faced.What You'll LearnWork with the dev stack componentsExamine the success factors for infrastructure, consumer, enterprise, verticals, and the MetaverseUnderstand the risks of Web3, like the regulatory structure and security breachesWho This Book Is ForStartup entrepreneurs and those looking to work in the Web3 industry.

This book will show how generative technology works and the drivers. It will also look at the applications – showing what various startupsand large companies are doing in the space. There will also be a look at the challenges and risk factors.During the past decade, companies have spent billions on AI.  But the focus has been on applying the technology to predictions – which is known as analytical AI.  It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI.  The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie – at very little cost. This is all part of generative AI. It’s still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos.The potential for this technology is enormous.  It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation.What You Will LearnThe importance of understanding generative AIThe fundamentals of the technology, like the foundation and diffusion modelsHow generative AI apps workHow generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation.The risks, downsides and challenges.Who This Book is ForProfessionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions.

Learning and using groundbreaking generative AI tools like ChatGPT and Google Bard can take some time. It’s a journey that requires patience and flexibility. This book is an indispensable guide for any developer who wants to be a part of the ChatGPT and Bard revolution.ChatGPT and Bard represent an epochal event in the world of generative AI on par with the emergence of the Internet or the launch of the iPhone.  But the impact could be even more transformative. No doubt, building applications with ChatGPT and Bard are quickly become strategic and a must-have.  This is why developers must understand these technologies now.You’ll start with a deep dive on ChatGPT and Bard and see how ChatGPT works with the transformer and diffusion models. The book also illustrates how to use the various APIs, such as GPT-4, ChatGPT, Bard, and Bedrock, focusing on the practical uses of these powerful technologies. This includes understanding embeddings, fine tuning ofthe models, using zero-shot and few-shot learning, and adjusting the parameters like temperature.  ChatGPT and Bard for Business Automation is your step-by-step tutorial on how to create apps for blog generation, sentiment analysis, language translation and integration.What You Will LearnSee how generative AI models work, their uses cases, benefits, and risks.Work with the various generative AI APIs such as GPT-4, ChatGPT, Bard, Bedrock and Anthropic.Understand prompt engineering, embeddings, fine tuning, and zero-shot/no-shot learning.Develop various applications, such as detecting sentiment. Create blogs and translate languages.Who This Book Is ForData scientists and engineers who want to leverage generative AI APIs; software engineers and developers interested in generative AI and how to integrate the APIs into existing IT environments; start-up personnel who want to use generative AI.

Künstliche Intelligenz berührt fast jeden Teil Ihres Alltags. Auch wenn Sie auf den ersten Blick annehmen, dass Technologien wie intelligente Lautsprecher und digitale Assistenten das Ausmaß dieser Technologie darstellen, hat sich KI in der Tat schnell zu einer Allzwecktechnologie entwickelt, die in Branchen wie dem Transportwesen, dem Gesundheitswesen, den Finanzdienstleistungen und vielen mehr Einzug gehalten hat. In unserer modernen Zeit ist ein Verständnis von KI und ihren Möglichkeiten für Ihr Unternehmen unerlässlich für Wachstum und Erfolg.Grundlagen der Künstlichen Intelligenz ist da, um Ihnen ein grundlegendes, zeitgemäßes Verständnis von KI und ihren Auswirkungen zu vermitteln. Der Autor Tom Taulli bietet eine ansprechende, nicht-technische Einführung in wichtige Konzepte wie maschinelles Lernen, Deep Learning, natürliche Sprachverarbeitung (NLP), Robotik und mehr. Taulli führt Sie nicht nur durch reale Fallstudien und praktische Implementierungsschritte, sondern nutzt sein Fachwissen auch, um auf die größeren Fragen einzugehen, die KI umgeben. Dazu gehören gesellschaftliche Trends, ethische Fragen und die zukünftigen Auswirkungen von KI auf Regierungen, Unternehmensstrukturen und das tägliche Leben.Google, Amazon, Facebook und ähnliche Tech-Giganten sind bei weitem nicht die einzigen Unternehmen, auf die künstliche Intelligenz eine unglaublich bedeutende Auswirkung hat - und weiterhin haben wird. KI ist die Gegenwart und die Zukunft Ihres Unternehmens und Ihres Privatlebens. Die Vertiefung Ihrer Kenntnisse in diesem Bereich ist von unschätzbarem Wert für Ihre Vorbereitung auf die Zukunft der Technik, und Grundlagen der Künstlichen Intelligenz ist der unverzichtbare Leitfaden, nach dem Sie gesucht haben.Was Sie lernen werdenStudium der Grundprinzipien für KI-Ansätze wie maschinelles Lernen, Deep Learning und NLP (Natural Language Processing)Entdecken Sie die besten Praktiken zur erfolgreichen Implementierung von KI anhand von Fallstudien wie Uber, Facebook, Waymo, UiPath und Stitch FixVerstehen Sie, wie KI-Funktionen für Roboter das Geschäft verbessern könnenEinsatz von Chatbots und Robotic Processing Automation (RPA) zur Kosteneinsparung und Verbesserung des KundendienstesVermeiden Sie kostspielige StolpersteineErkennen von ethischen Bedenken und anderen Risikofaktoren beim Einsatz künstlicher IntelligenzUntersuchen Sie langanhaltende Trends und wie sie sich auf Ihr Unternehmen auswirken könnenFür wen dieses Buch bestimmt istLeser ohne technischen Hintergrund, z. B. Manager, die KI verstehen und Lösungen bewerten wollen.Dieses Buch stellt die Übersetzung der englischsprachigen Originalausgabe dar. Die Übersetzung wurde mit Hilfe von künstlicher Intelligenz erstellt (maschinelle Übersetzung mit DeepL.com). Eine anschließende manuelle Überarbeitung erfolgte vor allem nach inhaltlichen Gesichtspunkten, so dass das Buch stilistisch von einer herkömmlichen Übersetzung abweichen kann.

AI is transforming industries, and cloud-based AI expertise is in high demand. This study guide is your essential resource for mastering foundational AI concepts and AWS tools while preparing for the AIF-C01 certification exam. Author Tom Taulli breaks down complex topics into practical, easy-to-understand lessons that will enhance the test-readiness of IT professionals, developers, or data analysts looking to expand into AI.Covering key areas like machine learning, natural language processing, computer vision, and generative AI, this guide also provides hands-on experience with AWS tools such as SageMaker, Bedrock, Rekognition, and Comprehend. With real-world examples, ethical considerations, and exam-focused strategies, you'll gain the confidence to both pass the exam and apply AI concepts in your career.Understand core AI principles and their applications in AWSLearn how to use AWS's AI tools for real-world business solutionsGrasp key exam strategies with practice questions and expert insightsApply AI techniques confidently in cloud environmentsAchieve certification and enhance your career in AI and cloud computing

Cloud computing continues to drive innovation across industries, fueling advancements like digital transformation, scalability, and the rise of artificial intelligence. Amazon Web Services is at the forefront of this evolution, and the AWS Certified Cloud Practitioner certification is the perfect entry point for anyone looking to build a strong foundation in cloud technology.This comprehensive study guide helps you thoroughly prepare for the exam, covering cloud computing principles, AWS's global infrastructure, security best practices, pricing and billing models, and more. It also affords opportunities for hands-on practice with AWS services such as EC2, S3, RDS, and Lambda and includes test-taking strategies and a wide range of practice questions. Whether you're an IT professional, business manager, or aspiring cloud practitioner, this book will serve as your essential companion on the path to certification.Understand the fundamental concepts of cloud computing and their relevance to AWSExplore AWS's tools and services for business applicationsLearn design principles and best practices for building secure, high-performing, resilient, and efficient infrastructure on AWSApply cloud concepts and principles in real-world scenarios using AWS