Intelligent Analytics
Bringing Analytics to the Internet of Things
(Sprache: Englisch)
Intelligent Analytics: [subtitle TBA] provides an easy-to-follow tutorial approach to analytics, from initial business requirements to building algorithmic engines. The key is the introduction of the concept of the smart domain, covering analytics in a...
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Klappentext zu „Intelligent Analytics “
Intelligent Analytics: [subtitle TBA] provides an easy-to-follow tutorial approach to analytics, from initial business requirements to building algorithmic engines. The key is the introduction of the concept of the smart domain, covering analytics in a systematic manner from edge devices, to hubs, gateways, and the cloud. The book also explores how to develop and implement intelligent analytics via product life cycles, insuring that analytic output is robust and rich in ROI for any company employing this methodology. As more companies become become players in the markets connected to the Internet of Things, analytics will require an intelligent system engineering approach to drive a healthier business. The book starts by a thought-provoking exploration of truly "what is analytics?", and then delves much deeper, with how-to chapters on creating, developing, and implementing analytics, what maturity level a business is (to apply the correct level of analytics), and specific case studies. It removes common misconceptions - that analytics is a black hole that only data scientists need to work with, and that infrastructure, framing the data problem, and reacting to the data are just as important as the algorithms themselves. Written by two senior scientists at Intel, the book is the perfect foundational resource for system architects, business developers, data scientists, data architects, and strategic thinkers who want to evolve their company from Analytics 1.0 (Traditional Analytics) to Analytics 2.0 (Big Data) and Analytics 3.0 (Deriving Business Value).
Inhaltsverzeichnis zu „Intelligent Analytics “
Foreword/PrefaceChapter 1: Introduction to Intelligent Analytics in the IoT: So You're Not A Data Scientist Chapter 2: Market Segments, Smart Domains, and Connecting the Dots: What Does Intelligent Analytics Got To With My Business?Chapter 3: The Critical Infrastructure: Connecting the Circuit of DataChapter 4: Framing the Problem: What Are You Trying To Solve?Chapter 5: The Analytic Engine: Secrets of the Data Scientist Chapter 6: The Output of Analytics: Turning Your Data Into Intelligent InformationChapter 7: How to Develop and Implement Intelligent Analytics: Foundations Are As Critical To Models As They Are To HousesChapter 8: Are You Analytic Intelligent? - It's Not Necessary to Be a Data Scientist!Appendix: Additional Resources
Autoren-Porträt von Celeste Fralick, Sarah Kalicin
Celeste Fralick is a senior technologist and Principal Engineer at Intel Corporation. She is currently focused in strategic data analytics and its architecture in the embedded, “Internet of Things” markets, and has been a technical leader in Intel’s biotech strategies, product qualification, and life cycle programs. Active in various industry boards, journal editorial staffs, and consortiums, her 34 year experience spans semiconductor process and product development, regulatory, medical device, analytics, and quality /reliability technology. Celeste holds a Ph.D. in Biomedical Engineering from Arizona State University, with a concentration in predictive analytics.
Bibliographische Angaben
- Autoren: Celeste Fralick , Sarah Kalicin
- 2016, 1st ed., 280 Seiten, Maße: 17,8 x 4 cm, Kartoniert (TB), Englisch
- Verlag: APress
- ISBN-10: 1484201647
- ISBN-13: 9781484201640
- Erscheinungsdatum: 30.09.2015
Sprache:
Englisch
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