Showing results for "Big data" in Business & Careers

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story. Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve.

This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

There is so much buzz around big data. We all need to know what it is and how it works. 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 shows you how to implement the same practices that leading firms have used to access new dimensions of profitability. You'll learn from clear explanations and countless examples how successful organisations large and small use the SMART model to get ahead.

Go ahead, be skeptical about big data. The author was - at first. When the term "big data" first came on the scene, best-selling author Tom Davenport ( Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means - and why everyone in business needs to know about it.

You can say goodbye to today's Internet, New York Times best-selling author George Gilder says. Soon the current model of aggregated free content populated with "value-subtracted" advertising will die a natural deat. In Life After Google, Gilder takes listeners on a brilliant, rocketing journey into the very near-future, into an Internet with a new "bitcoin-bitgold" transaction layer that will replace spam with seamless micro-payments and provide an all-new standard for global money.

The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits makes the case that big data is for real, and more than just big hype. The audiobook uses real-life examples - from Nate Silver to Copernicus, and Apple to Blackberry - to demonstrate how the winners of the future will use big data to seek the truth.

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. Organized 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 in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.

In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact-its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI.

Hosted by Al Martin, WW VP Technical Sales at IBM. Making Data Simple provides the latest thinking on leadership, big data, A.I., and the implications for the enterprise from a range of experts.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries - and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries.

In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies.

Toute l'actualité du Bigdata et surtout de sa communauté francophone dans un podcast.

Un'invisibile nuvola ci avvolge. Sono i dati e le informazioni che scambiamo online, un flusso continuo che qualcuno raccoglie, elabora e scambia. È vero che grazie ai big data accediamo a servizi sempre più ritagliati sulle nostre necessità, ma ogni nostra mossa, ogni acquisto, ogni comunicazione, ogni nostro momento pubblico e privato è osservato. Di ciascuno di noi esiste da qualche parte nell'etere un profilo. Utile a chi vuole influenzare le nostre scelte, di consumo ma anche politico-elettorali. E magari a chi vorrà approfittare delle nostre debolezze e dei nostri segreti.

In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate.

The availability of big data, low-cost commodity hardware, and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability.

¿Estás utilizando inteligentemente toda la data recopilada y almacenada? En un escenario de feroces transformaciones digitales, debemos ser capaces de ayudar a nuestras organizaciones a salir airosas de estos cambios y ser competentes al desarrollar empresas basadas en datos (data driven). No se trata de trabajar con hojas de cálculo u otros mecanismos tradicionales, sino de emplear una gestión eficaz de los datos que genere enormes beneficios para las instituciones y para todo aquel que emprenda en el mundo de hoy.

We connect, engage, and grow Women in Big Data by sharing their stories and experiences, while also unlocking their full potential through insights and advice from industry experts and thought leaders. By doing so, we discover Career Insights and learn how to harness the power of Big Data and Analytics to stay ahead of the curve, drive innovation, and create a better future for all.

Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of big data. Listeners are guided through tried-and-true methodologies for getting more out of data and using it to the utmost advantage. This audiobook describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding big data, all while guiding listeners toward better decision-making from the perspective of a data scientist.