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IBM Power Systems Enterprise AI solutions /
This IBM® Redpaper publication helps the line of business (LOB), data science, and information technology (IT) teams develop an information architecture (IA) for their enterprise artificial intelligence (AI) environment. It describes the challenges that are faced by the three roles when creating and...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Poughkeepsie, NY :
IBM Corporation, IBM Redbooks,
2019.
|
| Edición: | First edition (September 2019). |
| Colección: | IBM redpaper.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Corneau, Glen, |e author. | |
| 245 | 1 | 0 | |a IBM Power Systems Enterprise AI solutions / |c Glen Corneau, Andrew Laidlaw, Marcos Quezada. |
| 246 | 3 | |a International Business Machines Power Systems Enterprise Artificial Intelligence solutions | |
| 250 | |a First edition (September 2019). | ||
| 264 | 1 | |a Poughkeepsie, NY : |b IBM Corporation, IBM Redbooks, |c 2019. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a IBM redpaper | |
| 588 | 0 | |a Online resource; title from cover (Safari, viewed October 30, 2019). | |
| 500 | |a Number on back cover: REDP-5556-00. | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a This IBM® Redpaper publication helps the line of business (LOB), data science, and information technology (IT) teams develop an information architecture (IA) for their enterprise artificial intelligence (AI) environment. It describes the challenges that are faced by the three roles when creating and deploying enterprise AI solutions, and how they can collaborate for best results. This publication also highlights the capabilities of the IBM Cognitive Systems and AI solutions: IBM Watson® Machine Learning Community Edition IBM Watson Machine Learning Accelerator (WMLA) IBM PowerAI Vision IBM Watson Machine Learning IBM Watson Studio Local IBM Video Analytics H2O Driverless AI IBM Spectrum® Scale IBM Spectrum Discover This publication examines the challenges through five different use case examples: Artificial vision Natural language processing (NLP) Planning for the future Machine learning (ML) AI teaming and collaboration This publication targets readers from LOBs, data science teams, and IT departments, and anyone that is interested in understanding how to build an IA to support enterprise AI development and deployment. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a IBM Power systems. |
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| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 0 | |a Big data |x Industrial applications. | |
| 650 | 0 | |a Information visualization. | |
| 650 | 6 | |a Intelligence artificielle |x Applications industrielles. | |
| 650 | 6 | |a Données volumineuses |x Applications industrielles. | |
| 650 | 6 | |a Visualisation de l'information. | |
| 650 | 7 | |a Artificial intelligence |x Industrial applications |2 fast | |
| 650 | 7 | |a Information visualization |2 fast | |
| 700 | 1 | |a Laidlaw, Andrew, |e author. | |
| 700 | 1 | |a Quezada, Marcos, |e author. | |
| 710 | 2 | |a International Business Machines Corporation, |e publisher. | |
| 830 | 0 | |a IBM redpaper. | |
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