Building Business Models With Machine Learning
DOWNLOAD
Download Building Business Models With Machine Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Building Business Models With Machine Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Building Business Models With Machine Learning
DOWNLOAD
Author : N., Ambika
language : en
Publisher: IGI Global
Release Date : 2024-11-26
Building Business Models With Machine Learning written by N., Ambika and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.
Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models. The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models.
Building Successful Business Models Based On Artificial Intelligence
DOWNLOAD
Author : Bert Langa
language : en
Publisher: Innovation
Release Date : 2018-05-05
Building Successful Business Models Based On Artificial Intelligence written by Bert Langa and has been published by Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-05 with Business & Economics categories.
Every few years, there is a technological trend that leads to the creation of thousands of startups and/or new businesses. At present, we can say without any doubt that one of these trends is Machine Learning (Artificial Intelligence).There is a very powerful reason that this is happening. Currently, we are transitioning from the industrial economy born in the late nineteenth century to a new digital economy centered on data. In this data economy, the success of an organization depends to a large extent on how it uses data to make better decisions. Therefore, leading companies are starting to use their data and Machine Learning algorithms to improve their business processes and, consequently, their results.To put it in context, McKinsey (one of the leading Management Consulting companies worldwide) tells us that "Tech giants including Baidu and Google are spending between $20B to $30B on AI, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions".Amazing, right? Can you imagine capturing one-thousandth of these investments with a new startup or a new business model? Well, that is the main objective of this course: explaining the key concepts of Machine Learning in a very practical way, along with the methods needed for creating disruptive Business Models based on said Tech Trend.That way, you can take advantage of this tremendous opportunity and become a successful businessperson or entrepreneur.
Building Business Models With Machine Learning
DOWNLOAD
Author : Cristian González García
language : en
Publisher:
Release Date : 2024
Building Business Models With Machine Learning written by Cristian González García and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models. The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models. Building Business Models with Machine Learning focuses on problem-solving and practical application. It provides a roadmap for incorporating machine learning into organizational strategies and covers a wide range of topics, including sustainability in business models, machine learning in healthcare, and online fraud detection. By offering a thorough manual for integrating learning into organizational plans, this book enables readers to develop data-driven, adaptable business models essential for success in today's dynamic business landscape.
Ai And Business Models
DOWNLOAD
Author : Vania Sena
language : en
Publisher:
Release Date : 2021-05-03
Ai And Business Models written by Vania Sena and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-03 with categories.
This monograph summarizes the literature on AI and business model innovation. The main hypothesis is that the deployment of AI across an industry creates new mechanisms for value creation and in turn results in new firms generating value in an industry as incumbent firms may no longer be competitive as in the past - the value migration phenomenon.
Ai Driven Intelligent Models For Business Excellence
DOWNLOAD
Author : Nagaraj, Samala
language : en
Publisher: IGI Global
Release Date : 2022-08-12
Ai Driven Intelligent Models For Business Excellence written by Nagaraj, Samala and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Computers categories.
As digital technology continues to revolutionize the world, businesses are also evolving by adopting digital technologies such as artificial intelligence, digital marketing, and analytical methods into their daily practices. Due to this growing adoption, further study on the potential solutions modern technology provides to businesses is required to successfully apply it across industries. AI-Driven Intelligent Models for Business Excellence explores various artificial intelligence models and methods for business applications and considers algorithmic approaches for business excellence across numerous fields and applications. Covering topics such as business analysis, deep learning, machine learning, and analytical methods, this reference work is ideal for managers, business owners, computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Building Secure Business Models Through Blockchain Technology Tactics Methods Limitations And Performance
DOWNLOAD
Author : Dewangan, Shweta
language : en
Publisher: IGI Global
Release Date : 2023-04-11
Building Secure Business Models Through Blockchain Technology Tactics Methods Limitations And Performance written by Dewangan, Shweta and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-11 with Computers categories.
Blockchain technology provided a buzz-seeking opportunity for all industries to implement improved corporate procedures and trust-building. Still, some industries, such as the banking sector, may view it as a disruptive technology that must be adopted. A transaction ledger’s contents can be verified, maintained, and synchronized by community members using blockchain technology. A transaction can never be changed or removed from the blockchain; updates may only be made by participants in the system. Its distributed database cannot be manipulated, disrupted, or hacked in the same manner as conventional, user-controlled access systems and centralized databases. Building Secure Business Models Through Blockchain Technology: Tactics, Methods, Limitations, and Performance studies and explores the status of blockchain technology and, through the latest technology, builds business models to secure the future direction in the field of business. This book discusses the tactics and methods, as well as their limitations and performance. Covering topics such as AI-based efficient models, digital technology and services, and financial trading, this premier reference source is a valuable resource for business leaders and managers, IT managers, students and educators of higher education, entrepreneurs, government officials, librarians, researchers, and academicians.
Machine Learning For Business
DOWNLOAD
Author : Doug Hudgeon
language : en
Publisher: Simon and Schuster
Release Date : 2019-12-24
Machine Learning For Business written by Doug Hudgeon and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-24 with Computers categories.
Summary Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen Think about the benefits of forecasting tedious business processes and back-office tasks Envision quickly gauging customer sentiment from social media content (even large volumes of it). Consider the competitive advantage of making decisions when you know the most likely future events Machine learning can deliver these and other advantages to your business, and it’s never been easier to get started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. About the book Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you’ll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you’ll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results. What's inside Identifying tasks suited to machine learning Automating back office processes Using open source and cloud-based tools Relevant case studies About the reader For technically inclined business professionals or business application developers. About the author Doug Hudgeon and Richard Nichol specialize in maximizing the value of business data through AI and machine learning for companies of any size. Table of Contents: PART 1 MACHINE LEARNING FOR BUSINESS 1 ¦ How machine learning applies to your business PART 2 SIX SCENARIOS: MACHINE LEARNING FOR BUSINESS 2 ¦ Should you send a purchase order to a technical approver? 3 ¦ Should you call a customer because they are at risk of churning? 4 ¦ Should an incident be escalated to your support team? 5 ¦ Should you question an invoice sent by a supplier? 6 ¦ Forecasting your company’s monthly power usage 7 ¦ Improving your company’s monthly power usage forecast PART 3 MOVING MACHINE LEARNING INTO PRODUCTION 8 ¦ Serving predictions over the web 9 ¦ Case studies
Building Machine Learning And Deep Learning Models On Google Cloud Platform
DOWNLOAD
Author : Ekaba Bisong
language : en
Publisher:
Release Date : 2019
Building Machine Learning And Deep Learning Models On Google Cloud Platform written by Ekaba Bisong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Cloud computing categories.
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. You will: Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your results Know the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products.
Build A Future Proof Business Model How To Adapt To Market Shifts And Stay Relevant
DOWNLOAD
Author : Silas Mary
language : en
Publisher: Recorded Books
Release Date : 2025-02-13
Build A Future Proof Business Model How To Adapt To Market Shifts And Stay Relevant written by Silas Mary and has been published by Recorded Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Business & Economics categories.
Markets are constantly evolving, and businesses that fail to adapt get left behind. This book reveals the key principles of creating a business model that thrives in changing economic conditions. Learn how to identify trends before they happen, pivot your strategy when necessary, and build a resilient business that remains competitive for years to come. By future-proofing your business, you’ll ensure long-term sustainability, reduce risks, and capitalize on emerging opportunities. Whether you're launching a startup or running an established company, this book provides a strategic playbook for staying relevant and successful in a fast-moving world.