Showing results for "peter cotton"
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Microprediction
Building an Open AI Network
2022
EN
How a web-scale network of autonomous micromanagers can challenge the AI revolution and combat the high cost of quantitative business optimization.The artificial intelligence (AI) revolution is leaving behind small businesses and organizations that cannot afford in-house teams of data scientists. In Microprediction, Peter Cotton examines the repeated quantitative tasks that drive business optimization from the perspectives of economics, statistics, decisio...
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Becoming a Data Head
How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
2021
EN
"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI AdvantageYou've heard the hype around data - now get the facts.In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning...
2017
EN
200+ pages of valuable content!Machines can LEARN?!?!Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures.Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning.Note: Bonus chapters included inside!Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead? Its a wor...
The Design of Insight
How to Solve Any Business Problem
2015
EN
Familiar modes of problem solving may be efficient, but they often prevent us from discovering innovative solutions to more complex problems. To create meaningful change, we must train ourselves to discover previously unseen variables in day-to-day challenges. The Design of Insight is intended to be a personal problem-solving platform for decision makers and advisors who seek answers to critical business questions. It introduces an approach that uses multiple "problem-solving lang...
2012
EN
This is a sound textbook for Information Technology and MIS undergraduate students, and MBA graduate students and all professionals looking to grasp a fundamental understanding of information quality. The authors performed an extensive literature search to determine the Fundamental Topics of Data Quality in Information Systems. They reviewed these topics via a survey of data quality experts at the International Conference on Information Quality held at MIT. The concept of data quality is a...
2023
EN
Accessible
Marketing has become increasingly data-driven in recent years as a result of new emerging technologies such as AI, granular data availability and ever-growing analytics tools. With this trend only set to continue, it’s vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value an...
Artificial Intelligence for Finance Executives
The AI revolution, from industry trends and case studies to algorithms and concepts
2021
EN
Accessible
We often hear that AI is revolutionising the financial sector, like no other technology has done before. This book looks beyond these clichés and explores all aspects of this transformation at a deep level. It spells out a vision for the future and answers many questions that are routinely ignored.What do we mean by Artificial Intelligence in finance? How do we move past the myths and misconceptions to reveal the key driving forces?What are the indu...
Cost Estimation in Agile Software Development
Utilizing Functional Size Measurement Methods
2016
EN
Whenever software is developed based on contracts with binding agreed conditions it is exposed to risks; conditions such as the delivery of a clearly defined functional scope at a fixed price and at an agreed delivery date. Many of these risks can be mitigated by the principles of agile development. Being able to navigate projects within all agreed parameters requires cost estimation methods to be integrated into planning and controlling processes. In order to prevent these methods from er...
Digital Transformation Payday
Navigate the Hype, Lower the Risks, Increase Return on Investments
2022
EN
The Data-Driven Guide for your Digital Transformation PaydayIn Digital Transformation Payday: Navigate the Hype, Lower the Risks, Increase Return on Investments, Tim Bottke, Senior Strategy Partner at Deloitte and Associate Professor for Strategy and Digital Transformation at SDA Bocconi, a Financial Times/Forbes/Bloomberg Businessweek Top-Five European business school, delivers a provocative, new perspective on digital business ...
Management Science, Operations Research and Project Management
Modelling, Evaluation, Scheduling, Monitoring
2016
EN
Accessible
Due to its societal and economic relevance, Project Management (PM) has become an important discipline and a concept critical to modern organizations, public and private. PM as an academic discipline is discussed both in Management Science and in Operations Research. Management Science tends to focus on quantitative tools and the soft skills necessary to manage projects successfully. Operations Research gives the essential scientific contribution to the success of project management throug...
2018
EN
Secrets of Statistical Data Analysis and Management Science!We are in the age of information, and this means data is not scarce anymore. In fact, it is now overpowering. The option you have is to sift through the great number of available data to businesses and organization and interpret its implications correctly. But do you know you can’t just sit down and sort through all the information without knowing the right thing to do and even the right tool to use? You n...
How to Talk to Data Scientists
A Guide for Executives
2021
EN
Every major company has or will soon have a data science program. Most fail, expensively, imperiling their executive sponsors. Unfortunately, executives have been misled to focus on the latest buzzwords. Although buzzwords change— big data, data science, machine learning, deep learning, and artificial intelligence –the distraction from fundamentals manifests as a predictable trajectory from exuberant program launch, to stagnation, to awkward decommissioning.After architecting data ...











