The Roadmap to AI Mastery: A Guide to Building and Scaling Projects

The Roadmap to AI Mastery: A Guide to Building and Scaling Projects

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  • Author: Somdip Dey
  • Publisher: Somdip Dey
  • ISBN:
  • Category : Computers
  • Languages : en
  • Pages : 70

Are you a project or product manager or a tech enthusiast with little to no technical background in AI, but interested in harnessing the power of AI for your company's success? "The Roadmap to AI Mastery: A Guide to Building and Scaling Projects" is the perfect starting point for you. This practical guide, targeted towards project managers, product managers, and AI enthusiasts with non-technical backgrounds, covers everything from the introductory fundamentals of AI to selecting the right framework, creating AI models, overcoming common challenges, and more. Using real-world examples and a friendly tone, this book will help you gain introductory foundational understanding and confidence in building and scaling AI projects for your company's business goals. Don't wait to start your journey to AI mastery.

AI Product Management

2022-12-23
AI Product Management

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  • Author: Kumar Vishwesh
  • Publisher: Independently Published
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 0

Artificial intelligence (AI) is revolutionizing the way we do business, and AI product management is at the forefront of this transformation. In this practical guide, you'll learn the skills and strategies needed to successfully develop, launch, and scale AI products. We'll start by introducing you to the role of an AI product manager and the importance of AI in today's business landscape. From there, you'll learn how to understand the AI ecosystem and identify the right use cases for your AI product. You'll also discover how to build and manage an interdisciplinary team, design and develop an AI product, and launch and market it effectively. Throughout the book, you'll find real-world examples and best practices for growing and scaling your AI product. Whether you're a product manager, engineer, data scientist, or entrepreneur, this book will provide you with the knowledge and tools you need to succeed in the exciting field of AI product management. Key topics covered include: Understanding the AI landscape and key players Developing an AI product roadmap Building and managing an AI product team Designing and developing an AI product Launching and marketing an AI product Growing and scaling an AI product"

AI for People and Business

2019-07-05
AI for People and Business

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  • Author: Alex Castrounis
  • Publisher: O'Reilly Media
  • ISBN: 1492036544
  • Category : Computers
  • Languages : en
  • Pages : 317

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

MLOps Explained

2023-03-28
MLOps Explained

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  • Author: Louie Hawking
  • Publisher: Independently Published
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 0

"Revolutionize your AI projects with cutting-edge MLOps strategies." "Unleash the full potential of AI with MLOps mastery." "The essential blueprint for AI-driven innovation" _______________ Learn to unlock the true potential of machine learning in modern enterprises. This is your comprehensive roadmap to mastering MLOps, the groundbreaking discipline that bridges the gap between data science and software engineering. Unravel the secrets behind seamless collaboration, efficient workflows, and high-impact AI-driven solutions as you delve into the world of MLOps. Learn best practices for integrating machine learning models into your software pipeline, optimizing model deployment, and monitoring performance in real-time. With expert insights, practical tools, and cutting-edge techniques, "ML Ops Explained: The Art of Scaling AI" is an indispensable resource for software engineers, data scientists, and IT managers alike. Get ready to transform the way you build, deploy, and maintain AI-powered solutions with this essential guide, and scale your AI projects to new heights! _______________ Topics covered include: Building end-to-end AI pipelines: From data collection to model deployment. Addressing hidden technical debt in machine learning systems Automated testing and validation for machine learning models Performance metrics, data drift, and A/B testing. Future trends and challenges for MLOps and DevOps

Introducing MLOps

2020-11-30
Introducing MLOps

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  • Author: Mark Treveil
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1098116429
  • Category : Computers
  • Languages : en
  • Pages : 171

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

The Seven Figure Agency Roadmap

2019-10-29
The Seven Figure Agency Roadmap

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  • Author: Josh Nelson
  • Publisher: Josh Nelson
  • ISBN: 1703385454
  • Category : Business & Economics
  • Languages : en
  • Pages : 252

The Seven Figure Agency Roadmap is the must-have resource for digital marketing agency owners. Increase your income, work when and how you want, get your clients get incredible results...... and live your desired lifestyle. The Seven Figure Agency is designed to solve these issues you may be experiencing such as: * Too many agencies hit an income ceiling, and never make the kind of money (or the kind of impact) that they are capable of. They get stuck at one of the 3 plateaus: Startup, Struggle or even Success * Most agencies blame themselves, and try to work on their MINDSET -- But nothing changes because it's not your mindset that's the problem. It's the MODEL that needs to change. * The model that you bought into when you started your agency business is completely unscalable (Manual prospecting to get a few leads, chasing prospects down rather than getting them to come to you... and living off of project revenue so there's never consistent income or time for you). * For the last 5 years, the author has been working with a select group of agencies, taking them from Struggle to Success, Scale and Significance. Josh Nelson has a very new approach and he shares the very best of what is working in his business & for the agencies he works with to build million dollar agencies. This book is essential reading for agencies of all types and experience-levels and is of particular value for anyone looking to start a digital marketing agency to short cut growing pains and accelerate their growth to Seven Figures & Beyond.Forget the old concept of a general, digital marketing agency that takes years to establish - there's no need to wait when you have The Seven Figure Agency Roadmap. Whether your dream is to control your schedule or earn six figures in a month, The Seven Figure Agency Roadmap is your manual.This set of turn-by-turn directions to building a digital agency teaches: * How Josh went from virtually bankrupt to running a hypergrowth agency that made the Inc 5000 list of fastest growing companies in the Untied States 4 years in a row * How to build the team that will manage the day-to-day operations * How top agency owners grow to seven figures within a year * How to add $5,000 in monthly recurring revenue to your agency every single month * How to rapidly establish authority in any niche, so clients ask to work with you When you purchase the book you get access to a workbook that help you put the ideas into action: * Multiple case studies & long form interviews with members of Seven Figure Agency Coaching who have grown their revenue to seven figures, hired teams to replace themselves, or sold their agencies for a nice profit * Josh's templates you can copy for setting goals, designing your marketing, and tracking performance * How the Seven Figure Agency principles create a life shaped to your goals

Artificial Intelligence Simplified

2016-01-08
Artificial Intelligence Simplified

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  • Author: Binto George
  • Publisher: CSTrends LLP
  • ISBN: 1944708022
  • Category : Computers
  • Languages : en
  • Pages : 1

The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, super intelligence, etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a “bridge” book, or as an introductory textbook. For students, there is a lower priced edition (ISBN 978-1944708016) of the same book. Published by CSTrends LLP.

AI and education

2021-04-08
AI and education

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  • Author: Miao, Fengchun
  • Publisher: UNESCO Publishing
  • ISBN: 9231004476
  • Category : Political Science
  • Languages : en
  • Pages : 50

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

The Elements of Statistical Learning

2013-11-11
The Elements of Statistical Learning

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  • Author: Trevor Hastie
  • Publisher: Springer Science & Business Media
  • ISBN: 0387216065
  • Category : Mathematics
  • Languages : en
  • Pages : 545

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

The AI Marketing Canvas

2021-05-18
The AI Marketing Canvas

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  • Author: Raj Venkatesan
  • Publisher: Stanford University Press
  • ISBN: 1503628043
  • Category : Business & Economics
  • Languages : en
  • Pages : 295

This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.