Бернард Марр – лучшие книги

«Искусственный интеллект на практике» — это увлекательный рассказ об использовании ИИ и машинного обучения современными компаниями. В книге содержится 50 реальных примеров практического применения ИИ в решении своих задач компаниями со всего мира.

Быстро развивающийся ИИ вышел из лабораторий и отделов компьютерных наук в бизнес. ИИ и машинное обучение считаются важнейшими инструментами достижения успеха. Они используются в разных сферах — от банковского дела и финансов до соцсетей и маркетинга. Технологии предлагают инновационные решения компаниям всех размеров, секторов и отраслей промышленности. Из этой увлекательной и актуальной книги вы узнаете, как с помощью ИИ повысить производительность и эффективность и анализировать рыночные предпочтения.

В книге понятная структура, 50 примеров распределены по 5 категориям: технологии, розничные продажи, медиа, финансы и здравоохранение, и производство. Прочтение одной главы занимает пять минут, так что если читать по главе в день, получится пятьдесят дней. Технических подробностей в книге нет. Ее ценность в том, что она информирует о потенциальных возможностях. Объединив в одном издании примеры из разных сфер, автор способствует «перекрестному опылению».

Книга описывает 75 действительно значимых ключевых показателей эффективности, как широко известных, так и новых. В ней разъясняется, что такое ключевые показатели эффективности, дается краткое описание каждого показателя и объясняется, как их эффективно использовать. Кроме того, раскрываются особенности сбора информации, описываются целевые значения, частота и риски измерений. С помощью приведенных примеров вы научитесь понимать, оценивать и интерпретировать наиболее важные аспекты любого бизнеса.

Для экономистов, менеджеров среднего и высшего звена, бизнес-консультантов, а также всех тех, кто интересуется вопросами менеджмента.

Многие бизнесмены и лидеры в области технологий знают о тех возможностях, которые современная аналитика может предоставить их бизнесу, но пока сами не могут четко сформулировать получаемые с ее помощью выгоды. Бернард Марр написал книгу, которая восполняет большой пробел, имевшийся в литературе об аналитике. Автор разъясняет, причем достаточно подробно, как практически любой бизнес может извлечь выгоду из современных аналитических инструментов.
Для бизнес-аналитиков и менеджеров.

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. "Big Data" will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, "Big Data "will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands

The Brand NEW Book from Bernard Marr, bestselling author behind Business Trends in Practice - Winner of Business Book of the Year 2022. Future-proof yourself and develop critical skills for the digital future The working world has changed dramatically in the last twenty years and it's going to continue to transform at an even faster pace. How can the average professional stay afloat in an ocean of constant change and technological revolution? In Future The 20 Skills and Competencies Everyone Needs to Succeed in a Digital World bestselling author and futurist Bernard Marr delivers an engaging and insightful discussion of how you can prepare yourself for the digital future of work. You'll learn which skills will be in the highest demand, why they'll command a premium price, and how to develop them. You'll also A can't-miss book for every working professional seeking not just to survive – but to thrive – in the coming years, Future Skills belongs in the libraries of company leaders, managers, human resources professionals, educators, and anyone else with an interest in the future of work and how humanity fits within it.

Today's most successful companies are Intelligent Companies that use the best available data to inform their decision making. This is called Evidence-Based Management and is one of the fastest growing business trends of our times. Intelligent Companies bring together tools such as Business Intelligence, Analytics, Key Performance Indicators, Balanced Scorecards, Management Reporting and Strategic Decision Making to generate real competitive advantages. As information and data volumes grow at explosive rates, the challenges of managing this information is turning into a losing battle for most companies and they end up drowning in data while thirsting for insights. This is made worse by the severe skills shortage in analytics, data presentation and communication. This latest book by best-selling management expert Bernard Marr, will equip you with a set of powerful skills that are vital for successful managers now and in the future. Increase your market value by gaining essential skills that are in high demand but in short supply. Loaded with practical step-by-step guidance, simple tools and real life examples of how leading organizations such as Google, CocaCola, Capital One, Saatchi & Saatchi, Tesco, Yahoo, as well as Government Departments and Agencies have put the principles into practice. The five steps to more intelligent decision making are: Step 1: More intelligent strategies – by identifying strategic priorities and agreeing your real information needs Step 2: More intelligent data – by creating relevant and meaningful performance indicators and qualitative management information liked back to your strategic information needs Step 3: More intelligent insights – by using good evidence to test and prove ideas and by analysing the data to gain robust and reliable insights Step 4: More intelligent communication – by creating informative and engaging management information packs and dashboards that provide the essential information, packaged in an easy-to-read way Step 5: More intelligent decision making – by fostering an evidence-based culture of turning information into actionable knowledge and real decisions «Bernard Marr did it again! This outstanding and practical book will help your company become more intelligent and more successful. Marr takes the fields of business-intelligence, analytics and scorecarding to bring them together into a powerful and easy-to-follow 5-step framework. The Intelligent Company is THE must-read book of our times.» —Bruno Aziza, Co-author of best-selling book Drive Business Performance and Worldwide Strategy Lead, Microsoft Business Intelligence «Book after book Bernard Marr is redefining the fundamentals of good business management. 'The Intelligent Company' is a must read in these changing times and a reference you will want on your desk every day!» —Gabriel Bellenger, Accenture Strategy

Convert the promise of big data into real world results
There is so much buzz around big data. We all need to know what it is and how it works – that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results – and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform.- Discusses how companies need to clearly define what it is they need to know
- Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions
- Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them
- Includes many high-profile case studies from the author's work with some of the world's best known brands

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works – that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid,…

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data.
Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario.- Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers
- Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more
- Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking
- Develop your own big data strategy by accessing additional reading materials at the end of each chapter