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Why Ai Data Science Projects Fail

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Why Ai Data Science Projects Fail

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Author : Joyce Weiner
language : en
Publisher: Springer Nature
Release Date : 2025-07-29

Why Ai Data Science Projects Fail written by Joyce Weiner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.

This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls. Current statistics show that 87% of AI and Big Data projects fail by never reaching deployment, making this book an essential resource for data science and AI practitioners, as well as managers. The author illustrates the methods and tools by including real examples from her experience building and deploying data science and AI projects. This new edition builds upon the original book with revisions, updates and features a new chapter on Generative AI.

Why Ai Data Science Projects Fail

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Author : Joyce Weiner
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Recent data shows that 87% of Artificial Intelligence/Big Data projects don’t make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections.

Why Ai Data Science Projects Fail

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Author : Joyce Weiner
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-12-18

Why Ai Data Science Projects Fail written by Joyce Weiner and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Computers categories.

Why Data Science Projects Fail

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Author : Douglas Gray
language : en
Publisher: CRC Press
Release Date : 2024-09-05

Why Data Science Projects Fail written by Douglas Gray and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-05 with Computers categories.

The field of artificial intelligence, data science, and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects, and marketing hype are leading to an erosion of trust in one of our most critical approaches to making decisions: data driven. This book aims to fix this by countering the AI hype with a dose of realism. Written by two experts in the field, the authors firmly believe in the power of mathematics, computing, and analytics, but if false expectations are set and practitioners and leaders don’t fully understand everything that really goes into data science projects, then a stunning 80% (or more) of analytics projects will continue to fail, costing enterprises and society hundreds of billions of dollars, and leading to non-experts abandoning one of the most important data-driven decision-making capabilities altogether. For the first time, business leaders, practitioners, students, and interested laypeople will learn what really makes a data science project successful. By illustrating with many personal stories, the authors reveal the harsh realities of implementing AI and analytics.

Automated Machine Learning With Microsoft Azure

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Author : Dennis Michael Sawyers
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-04-23

Automated Machine Learning With Microsoft Azure written by Dennis Michael Sawyers and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-23 with Computers categories.

A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming language Key FeaturesCreate, deploy, productionalize, and scale automated machine learning solutions on Microsoft AzureImprove the accuracy of your ML models through automatic data featurization and model trainingIncrease productivity in your organization by using artificial intelligence to solve common problemsBook Description Automated Machine Learning with Microsoft Azure will teach you how to build high-performing, accurate machine learning models in record time. It will equip you with the knowledge and skills to easily harness the power of artificial intelligence and increase the productivity and profitability of your business. Guided user interfaces (GUIs) enable both novices and seasoned data scientists to easily train and deploy machine learning solutions to production. Using a careful, step-by-step approach, this book will teach you how to use Azure AutoML with a GUI as well as the AzureML Python software development kit (SDK). First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS). Finally, you will be able to use AutoML on your own data to not only train regression, classification, and forecasting models but also use them to solve a wide variety of business problems. By the end of this Azure book, you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs, earning their trust and respect. What you will learnUnderstand how to train classification, regression, and forecasting ML algorithms with Azure AutoMLPrepare data for Azure AutoML to ensure smooth model training and deploymentAdjust AutoML configuration settings to make your models as accurate as possibleDetermine when to use a batch-scoring solution versus a real-time scoring solutionProductionalize your AutoML and discover how to quickly deliver valueCreate real-time scoring solutions with AutoML and Azure Kubernetes ServiceTrain a large number of AutoML models at once using the AzureML Python SDKWho this book is for Data scientists, aspiring data scientists, machine learning engineers, or anyone interested in applying artificial intelligence or machine learning in their business will find this machine learning book useful. You need to have beginner-level knowledge of artificial intelligence and a technical background in computer science, statistics, or information technology before getting started. Familiarity with Python will help you implement the more advanced features found in the chapters, but even data analysts and SQL experts will be able to train ML models after finishing this book.

The Art Of Data Science

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Author : Douglas A. Gray
language : en
Publisher: CRC Press
Release Date : 2025-03-13

The Art Of Data Science written by Douglas A. Gray and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.

Although change is constant in business and analytics, some fundamental principles and lessons learned are truly timeless, extending and surviving beyond the rapid ongoing evolution of tools, techniques, and technologies. Through a series of articles published over the course of his 30+ year career in analytics and technology, Doug Gray shares the most important lessons he has learned – with colleagues and students as well – that have helped to ensure success on his journey as a practitioner, leader, and educator. The reader witnesses the Analytical Sciences profession through the mind’s eye of a practitioner who has operated at the forefront of analytically inclined organizations, such as American Airlines and Walmart, delivering solutions that generate hundreds of millions of dollars annually in business value, and an educator teaching students and conducting research at a leading university. Through real‐world project case studies, first‐hand stories, and practical examples, we learn the foundational truth underlying successful analytics applications. From bridging theory and practice, to playing a role as a consultant in digital transformation, to understanding how analytics can be economically transformational, identifying required soft skills like leadership skills, and understanding the reasons why data science projects often fail, the reader can better visualize and understand the nuanced, multidimensional nature of Analytical Sciences best practices, projects, and initiatives. The readers will gain a broad perspective on where and how to find success with Analytical Sciences, including the ability to ensure that we apply the right tool, at the right time and right place, and sometimes in different industries. Finally, through the author’s own career synopsis on becoming a practitioner and leader, and his distilled insights, the reader is offered a view into the future that analytics holds, along with some invaluable career advice regarding where to focus, how to make good choices, and how to measure success individually and organizationally.

Intelligent Systems And Applications

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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2024-07-30

Intelligent Systems And Applications written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.

This volume is a collection of meticulously crafted, insightful, and state-of-the-art papers presented at the Intelligent Systems Conference 2024, held in Amsterdam, The Netherlands, on 5-6 September 2024. The conference received an overwhelming response, with a total of 535 submissions. After a rigorous double-blind peer review process, 181 papers were selected for presentation. These papers span a wide range of scientific topics, including Artificial Intelligence, Computer Vision, Robotics, Intelligent Systems, and more. We hope that readers find this volume both interesting and valuable. Furthermore, we expect that the conference and its proceedings will inspire further research and technological advancements in these critical areas of study. Thank you for engaging with this collection of works from the Intelligent Systems Conference 2024. Your interest and support contribute significantly to the ongoing progress and innovation in the field of intelligent systems.

People And Data

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Author : Thomas C. Redman
language : en
Publisher: Kogan Page Publishers
Release Date : 2023-07-03

People And Data written by Thomas C. Redman and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with Business & Economics categories.

People and Data is an innovative exploration of the relationship between non-data professionals and data in an organization's success, and why it is only when they work together that a business can unlock its full potential. This book explains how most companies are yet to take advantage of the value that data offers. Their structures and processes are unfit for data and their biggest mistake is that regular employees are not included in the data-driven effort. People and Data illustrates how to change this. It shows how and why improving data quality should be an organization's first priority, how to tackle the tough organizational issues, such as departmental silos, that get in the way and how to upskill the whole workforce to get the best out of the organization's data. It is a practical guide written by a global expert which explains how companies can put their data to work by building it into all aspects of the business including their structure, culture and workforce design. By infusing the whole organization with data in this way employees at any level can use insights from the data to improve business performance. Full of practical tips and advice, People and Data includes a Resource Centre featuring a curriculum for training employees, and eight tools that will help companies to leverage their data to meet their business goals and upskill their employees so that everyone can benefit from the power of data. With important takeaways and real-world examples from organizations including AT&T and Morgan Stanley, this book is essential reading for all those wanting to allow their people and data to reach their full potential but are not sure where to start.

Software Quality As A Foundation For Security

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Author : Peter Bludau
language : en
Publisher: Springer Nature
Release Date : 2024-04-11

Software Quality As A Foundation For Security written by Peter Bludau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-11 with Computers categories.

This book constitutes the refereed proceedings of the 16th Software Quality Days Conference, SWQD 2024, held in Vienna, Austria, during April 23-25, 2024. The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conference on software quality in Europe. The program of the SWQD conference is designed to encompass a stimulating mixture of practical presentations and new research topics in scientific presentations. The guiding conference topic of the SWQD 2024 is “Software Quality as a Foundation for Security”. The 7 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The papers were organized in topical sections as follows: Requirements engineering; software quality; continuous integration and deployment; communication and collaboration; artificial intelligence; and security and compliance.

Enterprise Business Process And Information Systems Modeling

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Author : Han van der Aa
language : en
Publisher: Springer Nature
Release Date : 2024-05-30

Enterprise Business Process And Information Systems Modeling written by Han van der Aa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.

This book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: - the 25th International Conference on Business Process Modeling, Development and Support, BPMDS 2024, and - the 29th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024. The conferences were taking place in Limassor, Cyprus, during June 3–4, 2024. For BPMDS 8 full papers and 3 short papers were carefully reviewed and selected for publication from a total of 25 submissions; for EMMSAD 11 full papers and 5 short papers were accepted from a total of 32 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development.

Why Ai Data Science Projects Fail

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