“…"Presented by Shilpi Bhattacharyya, Data Scientist at IBM. Who does not love the American television sitcom - Friends? …”

“…The research community can help. Mark Weber (MIT-IBM Watson AI Lab) explores how to map the structural and behavioral dynamics driving the technical challenge, and he reviews AML methods both current and emergent. …”

“…Valuable and accessible... a solid foundation for anyone aspiring to be a data scientist. Amaresh Rajasekharan, IBM Corporation Learn data science with Python by building five real-world projects! …”

“…Valuable and accessible... a solid foundation for anyone aspiring to be a data scientist. Amaresh Rajasekharan, IBM Corporation Learn data science with Python by building five real-world projects! …”

“…That's why data engineering is one of the fastest growing jobs--and why data engineers are employed by many of the most recognizable tech companies in the world, including IBM, Amazon, Microsoft, Apple, Google, and Facebook. …”

Tabla de Contenidos: “…La utilització comercial dels ordinadors; 4.1.1. L'UNIVAC I; 4.1.2. L'IBM 701; 4.2. Les "generacions" d'ordinadors; 4.3. …”

Tabla de Contenidos: “…Introduction -- 1 Walmart: How Big Data Is Used To Drive Supermarket Performance -- 2 CERN: Unravelling the Secrets of the Universe with Big Data -- 3 Netflix: How Netflix Used Big Data to Give Us the Programmes We Want -- 4 Rolls-Royce: How Big Data Is Used To Drive Success In Manufacturing -- 5 Shell: How Big Oil Uses Big Data -- 6 Apixio: How Big Data Is Transforming Healthcare -- 7 Lotus F1 Team: How Big Data Is Essential To The Success Of Motorsport Teams -- 8 Pendleton & Son Butchers: Big Data for Small Business -- 9 US Olympic Women's Cycling Team: How Big Data Analytics Is Used To Optimize Athletes' Performance -- 10 ZSL: Big Data In The Zoo And To Protect Animals -- 11 Facebook: How Facebook Use Big Data to Understand Customers -- 12 John Deere: How Big Data Can Be Applied On Farms -- 13 Royal Bank of Scotland: Using Big Data to Make Customer Service More Personal -- 14 LinkedIn: How Big Data Is Used To Fuel Social Media Success -- 15 Microsoft: Bringing Big Data To The Masses -- 16 Acxiom: Fuelling Marketing With Big Data -- 17 US Immigration and Customs: How Big Data Is Used To Keep Passengers Safe and Prevent Terrorism -- 18 Nest: Bringing the Internet of Things into The Home -- 19 GE: How Big Data Is Fuelling the Industrial Internet -- 20 Etsy: How Big Data Is Used In A Crafty Way -- 21 Narrative Science: How Big Data Is Used To Tell Stories -- 22 BBC: How Big Data Is Used In The Media -- 23 Milton Keynes: How Big Data Is Used To Create Smarter Cities -- 24 Palantir: How Big Data Is Used To Help The CIA And To Detect Bombs In Afghanistan -- 25 Airbnb: How Big Data Is Used To Disrupt the Hospitality Industry -- 26 Sprint: Profiling Audiences Using Mobile Network Data -- 27 Dickey's Barbecue Pit: How Big Data Is Used to Gain Performance Insights Into One Of America's Most Successful Restaurant Chains -- 28 Caesars: Big Data At The Casino -- 29 Fitbit: Big Data In The Personal Fitness Arena -- 30 Ralph Lauren: Big Data In The Fashion Industry -- 31 Zynga: Big Data In The Gaming Industry -- 32 Autodesk: How Big Data Is Transforming The Software Industry -- 33 Walt Disney Parks and Resorts: How Big Data Is Transforming Our Family Holidays -- 34 Experian: Using Big Data To Make Lending Decisions And To Crack Down On Identity Fraud -- 35 Transport for London: How Big Data Is Used To Improve And Manage Public Transport In London -- 36 The US Government: Using Big Data To Run A Country -- 37 IBM Watson: Teaching Computers To Understand And Learn -- 38 Google: How Big Data Is At The Heart Of Google's Business Model -- 39 Terra Seismic: Using Big Data To Predict Earthquakes -- 40 Apple: How Big Data Is At The Centre Of Their Business -- 41 Twitter: How Twitter And IBM Deliver Customer Insights From Big Data -- 42 Uber: How Big Data Is At The Centre Of Uber's Transportation Business -- 43 Electronic Arts: Big Data In Video Gaming -- 44 Kaggle: Crowdsourcing Your Data Scientist -- 45 Amazon: How Predictive Analytics Are Used To Get A 360-Degree View Of Consumers -- Final Thoughts -- About the Author -- Acknowledgements -- Index…”

Tabla de Contenidos: “…Machine generated contents note: Acknowledgments About the Author Introduction Part 1--AI Trailblazers Chapter 1 Alibaba Chapter 2 Alphabet / Google Chapter 3 Amazon Chapter 4 Apple Chapter 5 Baidu Chapter 6 Facebook Chapter 7 IBM Chapter 8 JD.com Chapter 9 Microsoft Chapter 10 Tencent Part 2--Retail, consumer goods and food & beverage companies Chapter 11 Burberry Chapter 12 Coca Cola Chapter 13 Dominos Chapter 14 Kimberly Clark Chapter 15 McDonalds Chapter 16 Samsung Chapter 17 Starbucks Chapter 18 Stichfix Chapter 19 Unilever Chapter 20 Walmart Part 3--Media, entertainment and telecom companies Chapter 21 Disney Chapter 22 Instagram Chapter 23 LinkedIn Chapter 24 Netflix Chapter 25 Press Association Chapter 26 Spotify Chapter 27 Telefonica Chapter 28 Twitter Chapter 29 Verizon Chapter 30 Viacom Part 4 - Services, financial and healthcare companies Chapter 31 American Express Chapter 32 Elsevier Chapter 33 Entrupy Chapter 34 Experian Chapter 35 Harley Davidson Chapter 36 Hopper Chapter 37 Infervision Chapter 38 Mastercard Chapter 39 Salesforce Chapter 40 Uber Part 5--Manufacturing, automotive, aerospace and industry 4.0 companies Chapter 41 BMW Chapter 42 GE Chapter 43 John Deere Chapter 44 Kone Chapter 45 Mercedes Benz Chapter 46 NASA Chapter 47 Shell Chapter 48 Siemens Chapter 49 Tesla Chapter 50 Volvo Part 6--Final Words and AI Challenges Chapter 51 Final Words and AI Challenges Index…”

Tabla de Contenidos: “…Digital Poetics -- Chapter 8: Canadian Poetry and the Computational Concordance: Sandra Djwa and the Early History of Canadian Humanities Computing -- Chapter 9: Canadian Poetry and the Computer -- Chapter 10: “Saga Uv Th Relees Uv Huuman Spirit from Compuewterr Funckshuns”: Space Conquest, IBM, and the Anti-Digital Anxiety of Early Canadian Digital Poetics (1960–1968) -- Chapter 11: The Digits in the Digital: Bodies in the Machines of Canadian Concrete Poetry -- Chapter 12: Nations of Touch: The Politics of Electronic Literature as Digital Humanities -- Chapter 13: Stop Words -- Part 3. …”

“…Ejemplos de compañías como P&G, IBM, Boeing o Apple demuestran que la innovación desde el exterior adquiere múltiples formas. …”
Texto completo en Odilo

“…Bajo el control de grandes grupos de inversión global, las empresas que lideran los servicios, la publicidad o la distribución (Alphabet-Google, Facebook o Amazon), junto a gigantes de la informática (Microsoft, Apple, IBM o Intel) están conformando un mundo a su medida. …”

Accés restringit als usuaris de la UPF

Tabla de Contenidos: “…AF Steelcase ; AIMC ; Air Liquide ; Alta Gestión ; American Express ; ASISA ; AT Kearney ; AVE ; AVIS ; Banco Urquijo ; Bassat Ogilvy ; BBVA ; British Airways ; Cofares ; Coleman Schmidlin & Partners ; Conqueror ; Construcciones San Martín ; Correos ; El Sol ; ESIC ; Euro RSCG Partners ; Fagor ; Garrigues ; Gas Natural ; IBM ; Intel ; Irizar ; J.A. Llorente & O. Cuenca ; Kursaal ; Lucent Technologies ; Massa ; Mercedes-Benz ; Mindshare ; Morgan Stanley , Nokia ; Occidental Hoteles ; Páginas Amarillas ; Post-it ; PSM ; Sigma Dos ; Ungría Patentes y Marcas -- Volum III. …”

“…Major players such as Amazon, Microsoft, Google, and IBM are among the dozen organizations that now provide serverless compute options in the cloud—also known as Function-as-a-Service. …”

“…In this book, authors Tom Markiewicz and Josh Zheng—developer advocates for IBM Watson—explore three of the more common uses for AI in the enterprise: natural language processing (NLP), computer vision, and chatbots.You'll also learn methods for creating a data pipeline that forms the backbone for building these applications. …”

“…The fun and friendly guide to mastering IBM's Statistical Package for the Social Sciences Written by an author team with a combined 45 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis. …”

“…Brad Topol, Jake Kitchener, and Michael Elder from IBM show you how to run stateful workloads on Kubernetes to transform the way you manage your core enterprise middleware. …”

“…Get a brief history of data reports, from 3800 BCE to the Univac and the IBM PC Move through paradigm shifts that include the rise of the Internet, interactivity, push & pull APIs, and 3D visualizations Take a peek at the future with the advent of the Internet of Things and continued growth of big data Learn the criteria that today’s reporting tools will have to satisfy Many large corporations still get 88% of the data they rely upon from reporting. …”

“…From Microsoft to the US Air Force, IBM to the FBI, Cisco to Wipro, thousands of security professionals are seeking the respected Certified Ethical Hacker (CEH) credential. …”