Practical AI for Business Leaders, Product Managers, and Entrepreneurs PDF Download

Author: Alfred Essa
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 150150584X
Category : Business & Economics
Languages : en
Pages : 277

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Book Description
Most economists agree that AI is a general purpose technology (GPT) like the steam engine, electricity, and the computer. AI will drive innovation in all sectors of the economy for the foreseeable future. Practical AI for Business Leaders, Product Managers, and Entrepreneurs is a technical guidebook for the business leader or anyone responsible for leading AI-related initiatives in their organization. The book can also be used as a foundation to explore the ethical implications of AI. Authors Alfred Essa and Shirin Mojarad provide a gentle introduction to foundational topics in AI. Each topic is framed as a triad: concept, theory, and practice. The concept chapters develop the intuition, culminating in a practical case study. The theory chapters reveal the underlying technical machinery. The practice chapters provide code in Python to implement the models discussed in the case study. With this book, readers will learn: The technical foundations of machine learning and deep learning How to apply the core technical concepts to solve business problems The different methods used to evaluate AI models How to understand model development as a tradeoff between accuracy and generalization How to represent the computational aspects of AI using vectors and matrices How to express the models in Python by using machine learning libraries such as scikit-learn, statsmodels, and keras

Author: Ivana Bartoletti
Publisher: John Wiley & Sons
ISBN: 1119551900
Category : Business & Economics
Languages : en
Pages : 304

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Book Description
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

Author: Mariusz Soltanifar
Publisher: Springer Nature
ISBN: 3030539148
Category : Business & Economics
Languages : en
Pages : 339

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Book Description
This open access book explores the global challenges and experiences related to digital entrepreneurial activities, using carefully selected examples from leading companies and economies that shape world business today and tomorrow. Digital entrepreneurship and the companies steering it have an enormous global impact; they promise to transform the business world and change the way we communicate with each other. These companies use digitalization and artificial intelligence to enhance the quality of decisions and augment their business and customer operations. This book demonstrates how cloud services are continuing to evolve; how cryptocurrencies are traded in the banking industry; how platforms are created to commercialize business, and how, taken together, these developments provide new opportunities in the digitalized era. Further, it discusses a wide range of digital factors changing the way businesses operate, including artificial intelligence, chatbots, voice search, augmented and virtual reality, as well as cyber threats and data privacy management. “Digitalization mirrors the Industrial Revolution’s impact. This book provides a complement of perspectives on the opportunities emanating from such a deep seated change in our economy. It is a comprehensive collection of thought leadership mapped into a very useful framework. Scholars, digital entrepreneurs and practitioners will benefit from this timely work.” Gina O’Connor, Professor of Innovation Management at Babson College, USA “This book defines and delineates the requirements for companies to enable their businesses to succeed in a post-COVID19 world. This book deftly examines how to accomplish and achieve digital entrepreneurship by leveraging cloud computing, AI, IoT and other critical technologies. This is truly a unique “must-read” book because it goes beyond theory and provides practical examples.” Charlie Isaacs, CTO of Customer Connection at Salesforce.com, USA "This book provides digital entrepreneurs useful guidance identifying, validating and building their venture. The international authors developed new perspectives on digital entrepreneurship that can support to create impact ventures.” Felix Staeritz, CEO FoundersLane, Member of the World Economic Forum Digital Leaders Board and bestselling author of FightBack, Germany

Author: Bill Aulet
Publisher: John Wiley & Sons
ISBN: 1118692284
Category : Business & Economics
Languages : en
Pages : 288

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Book Description
24 Steps to Success! Disciplined Entrepreneurship will change the way you think about starting a company. Many believe that entrepreneurship cannot be taught, but great entrepreneurs aren’t born with something special – they simply make great products. This book will show you how to create a successful startup through developing an innovative product. It breaks down the necessary processes into an integrated, comprehensive, and proven 24-step framework that any industrious person can learn and apply. You will learn: Why the “F” word – focus – is crucial to a startup’s success Common obstacles that entrepreneurs face – and how to overcome them How to use innovation to stand out in the crowd – it’s not just about technology Whether you’re a first-time or repeat entrepreneur, Disciplined Entrepreneurship gives you the tools you need to improve your odds of making a product people want. Author Bill Aulet is the managing director of the Martin Trust Center for MIT Entrepreneurship as well as a senior lecturer at the MIT Sloan School of Management. For more please visit http://disciplinedentrepreneurship.com/

Author: Shu Chen Hou
Publisher: Kokoshungsan Ltd
ISBN:
Category : Business & Economics
Languages : en
Pages : 381

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Book Description
Unlock the transformative power of Artificial Intelligence (AI) to propel your business to new heights. AI for Entrepreneurs is an essential guide for business owners looking to leverage AI technology to boost growth, optimize operations, and stay ahead of the competition. Packed with practical strategies, this book demystifies AI, making it accessible to entrepreneurs of all sizes—whether you're a startup founder or running a small enterprise. Discover how AI is revolutionizing industries by automating routine tasks, improving decision-making, and enhancing customer experiences. You'll learn step-by-step how to identify key areas where AI can add value, choose the right tools to enhance marketing and operations, and automate processes to save time and costs. Featuring real-world success stories of entrepreneurs who used AI to scale their businesses, this book will show you exactly how to implement AI in your daily operations for maximum impact. Bonus resources include a curated list of AI tools, an action plan template, and an easy-to-understand AI glossary—everything you need to start leveraging AI today. AI for Entrepreneurs is your roadmap to making AI a powerful ally in your business journey. Get your copy and start building your AI-powered success story now!

Author: Mariya Yao
Publisher:
ISBN: 9780998289021
Category : Artificial intelligence
Languages : en
Pages : 246

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Book Description
This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.

Author: Tom Eisenmann
Publisher: Currency
ISBN: 0593137027
Category : Business & Economics
Languages : en
Pages : 370

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Book Description
If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.

Author: Özsungur, Fahri
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 446

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Book Description
Technology and entrepreneurship converge in the digital era, presenting many possibilities and hurdles. One of the most pressing issues facing entrepreneurs is the ability to harness the power of artificial intelligence (AI) to drive innovation and create sustainable businesses. While AI holds immense potential for transforming entrepreneurial ideas across various fields, many individuals and organizations need help understanding its practical applications and implications. Generating Entrepreneurial Ideas With AI offers a comprehensive solution to this challenge. By examining the intersection of AI and entrepreneurship from a multidisciplinary perspective, we provide readers with invaluable insights and strategies for leveraging AI to enhance their entrepreneurial endeavors. This book is designed for students, entrepreneurs, policymakers, and academics. It is a practical guide and roadmap for integrating AI into entrepreneurial practices. Through a series of in-depth analyses and case studies, we demonstrate how AI can effectively identify new business opportunities, optimize operations, and enhance the overall competitiveness of ventures.

Author: Ethan Mollick
Publisher: University of Pennsylvania Press
ISBN: 1613630972
Category : Business & Economics
Languages : en
Pages : 117

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Book Description
Bringing hard data to the way we think about entrepreneurial success, this bold call to action draws on the latest scientific evidence to dispel the most pervasive startup myths and light a path to entrepreneurship for those eclipsed by the hype. When you think of a successful entrepreneur, who comes to mind? Bill Gates? Mark Zuckerberg? Or maybe even Jesse Eisenberg, the man who played Zuckerberg in The Social Network? It may surprise you that most successful founders look very different from Zuckerberg or Gates. In fact, most startup origin stories are very different from the famous "unicorns" that have achieved valuations of over $1 billion, from Facebook to Google to Uber. In The Unicorn's Shadow: Combating the Dangerous Myths that Hold Back Startups, Founders, and Investors, Wharton School professor Ethan Mollick takes us to the forefront of an empirical revolution in entrepreneurship. New data and better research methods have overturned the conventional wisdom behind what a successful founder looks like, how they succeed, and how the startup ecosystem works. Among the issues he examines: Which founders are most likely to succeed?Where do the best startup ideas come from?What's the most foolproof way of securing the funding needed to take a company to the next level?Should your sales pitch really be something out of Hollywood?What's the best way to grow and scale your company and create a thriving culture that won't hinder expansion? Mollick argues that entrepreneurship is too important, both for society and for the individuals who start companies, to be eclipsed by the shadows of unicorns. He shows we can democratize entrepreneurship—but only by following an evidence-based approach that puts to rest the false narratives that surround it.

Author: Artur Kiulian
Publisher:
ISBN: 9780692945407
Category :
Languages : en
Pages : 258

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Book Description
Robot Is The Boss is not about how Artificial Intelligence (AI) will destroy humanity or how machines will rebel against us. Instead, it explains the best way to get benefits from using machine learning in your business today. It's not technical; it's simple. You will learn about: Why Artificial Intelligence is becoming so important The benefits of using Artificial Intelligence and the long-term effects of neglecting automation trends Which industries will be affected by Artificial Intelligence the most How to Educate, Prepare and Implement Artificial Intelligence strategy to transition your business into a new world of machine intelligence Nowadays you won't see a single book that is written for an entrepreneur to start taking action on the trend of machine learning. Most of those are either "Surviving AI revolution" books aiming to capitalize on the fears of SkyNet taking over or super technical writings such as "Large Scale Machine Learning with Python" for developers and data scientists. This book will help you understand the basic terminology behind the buzzwords and will provide a framework for how you can use machine intelligence in your business today.