Lean AI


Book Description

How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers—to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects




A Citizen's Guide to Artificial Intelligence


Book Description

A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.




The AI-First Company


Book Description

Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a Ph.D. to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems. It's a playbook made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. Whether you're a new online retailer or a Fortune 500 company, Fontana will teach you how to: • Identify the most valuable data; • Build the teams that build AI; • Integrate AI with existing processes and keep it in check; • Measure and communicate its effectiveness; • Reinvest the profits from automation to compound competitive advantage. If the last fifty years were about getting AI to work in the lab, the next fifty years will be about getting AI to work for people, businesses, and society. It's not about building the right software -- it's about building the right AI. The AI-First Company is your guide to winning with artificial intelligence.




Trustworthy AI


Book Description

An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.




AI Startup Strategy


Book Description

Gain exclusive access to the secrets to building an enterprise AI start-up. AI innovation helps with every aspect of the business, from the supply chain, marketing, and advertising, customer service, risk management, operations to security. Industries from different verticals have been adopting AI and get real business values out of it. This book guides you through each step, from defining the business need and business model, all the way to registering IP and calculating your AI start-up valuation. You see how to perform market and technology validation, perform lean AI R&D, design AI architecture, AI product development and operationalization. The book also cover building and managing an AI team, along with attracting and keeping business and developer users, Building an Enterprise AI start-up is hard because Enterprise AI is an effort to build applications to mimic human intelligence to solve business problems. Hence it has a different challenge from building traditional non-AI applications, such as scouting, recruiting and managing AI talents; designing the most cost-efficient and scalable Enterprise AI; or establishing the best practice to operationalize AI in production As we are in the dawn of the AI-first product wave, AI-powered products for enterprises will be created for many years to come and AI Startup Strategy is the one-stop guide for it. What You'll Learn Match customer’s expectation VS technical feasibility Justify business values and ROI for customers Review the best business models for high valuation enterprise AI start-ups Design an AI product that gives a satisfactory experience for the user Register and value AI IP Who This Book is For Startup Founders, Product Managers, Software Architects/Lead Engineers, Executives




AI for People and Business


Book Description

If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing—but too many AI initiatives end in failure. With this book, you’ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You’ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book’s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend




Effective AI


Book Description

"If the ladder is not leaning against the right wall, every step we take just gets us to the wrong place faster."- Stephen CoveyArtificial Intelligence (AI) which was only famous among academic researchers a few years ago, has now become a household term. It has also become the most trending industrial phrase in this decade that every company regardless of the size, tries to claim that they utilize AI in one way or another. However, recent studies show that the majority, about 96%, of AI-based companies do not make any profit, use AI in an unsustainable manner, or use the term AI just to attract investors. This negative trend is slowly making AI a reason for a future coming bubble-burst. Effective AI is a practical guide for AI startups and AI enthusiasts to build AI systems and startups effectively to make sure they are sustainable, profitable and fruitful. If you want to implement AI in your startup or in your already established company, this book will be your best companion to get the right advice at the right time, which will save you from failures. As simply told, this will make sure your ladder is always leaning against the right wall making sure every step you take in AI space is taking you to the correct place safer and faster. This book does not overload you with technical details on AI. Instead, we focus on building a framework and a guide on which you can rely to build successful AI startups and systems. Written by two experts in AI who collectively have more than fourteen years of experience in both industrial and academic AI experience, and studies conducted on more than 40 AI startups, this book will cater for both industrial as well as independent research labs to implement AI in a sustainable fashion leading to profitability. What is covered in this book?-Difference between AI and Effective AI.-What makes an Effective AI system?-Some common myths and misbeliefs which lead to startup failures-Talent management in AI companies-Building and maintaining a great culture-AI project management-How and why we should empower remote work?-Research and Development in AI startups-An easy to follow effective data science process for AI startups-MLOps: How to use DevOps in AI startups-Sustainable capital raises and series funding for AI startupsWho is this book for?-AI startups founders-Investors who focus mainly on AI companies-AI engineers-Data scientists-MLOps engineers-Consultants, advisors and educators-Entrepreneurs who want to explore opportunities in AI




Artificial Intelligence for Business


Book Description

Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally, with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization.




Artificial Intelligence


Book Description

In the business world, the very term artificial intelligence (AI) is shrouded in mystery. For some, it’s the brains behind a robotic apocalypse. For others, it provides hope for a better society with self-driving cars, food security, and medical breakthroughs. But what about for businesses? For most executives , the term “AI” is vague, confusing, and although intriguing, it seems unapproachable. Artificial Intelligence: An Executive Guide to Make AI Work for Your Business is designed for non-experts—it’s for business teams, business leaders, and executives who never seem to have enough time in the day to learn about the latest technology trends. TinyTechGuides™ are meant to be read in under two hours and focus on the application of technologies in business, government, and educational settings. This book covers the fundamentals of AI: data, analytic, and automation technologies—from modern data management techniques to chatbots, machine learning, natural language processing (NLP), robotic process automation (RPA), and computer vision. It discusses the business benefits of AI, the importance of AI ethics, MLOps, and provides real steps on how to start your AI journey. With real-world examples of businesses applying AI, you’ll learn how to use AI within Accounting & Finance, Marketing & Sales, Research & Development, Supply Chain, IT, Human Resources, and Service and Support. There are practical industry examples across Banking & Finance, Energy & Utilities, Insurance, Government, Healthcare, Life Sciences, Manufacturing, Retail, Telecom, and Transportation & Logistics. If you want to know how AI can be applied to improve your business, this TinyTechGuide™ is for you! Remember, It’s not the tech that’s tiny, just the book!™