IBM Power Systems Enterprise AI Solutions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IBM Power Systems Enterprise AI Solutions write by Glen Corneau. This book was released on 2019. IBM Power Systems Enterprise AI Solutions available in PDF, EPUB and Kindle.
IBM Power Systems Enterprise AI Solutions
IBM Power Systems Enterprise AI Solutions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IBM Power Systems Enterprise AI Solutions write by Scott Vetter. This book was released on 2019-09-25. IBM Power Systems Enterprise AI Solutions available in PDF, EPUB and Kindle. 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.
AI and Big Data on IBM Power Systems Servers
AI and Big Data on IBM Power Systems Servers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI and Big Data on IBM Power Systems Servers write by Scott Vetter. This book was released on 2019-04-10. AI and Big Data on IBM Power Systems Servers available in PDF, EPUB and Kindle. As big data becomes more ubiquitous, businesses are wondering how they can best leverage it to gain insight into their most important business questions. Using machine learning (ML) and deep learning (DL) in big data environments can identify historical patterns and build artificial intelligence (AI) models that can help businesses to improve customer experience, add services and offerings, identify new revenue streams or lines of business (LOBs), and optimize business or manufacturing operations. The power of AI for predictive analytics is being harnessed across all industries, so it is important that businesses familiarize themselves with all of the tools and techniques that are available for integration with their data lake environments. In this IBM® Redbooks® publication, we cover the best practices for deploying and integrating some of the best AI solutions on the market, including: IBM Watson Machine Learning Accelerator (see note for product naming) IBM Watson Studio Local IBM Power SystemsTM IBM SpectrumTM Scale IBM Data Science Experience (IBM DSX) IBM Elastic StorageTM Server Hortonworks Data Platform (HDP) Hortonworks DataFlow (HDF) H2O Driverless AI We map out all the integrations that are possible with our different AI solutions and how they can integrate with your existing or new data lake. We also walk you through some of our client use cases and show you how some of the industry leaders are using Hortonworks, IBM PowerAI, and IBM Watson Studio Local to drive decision making. We also advise you on your deployment options, when to use a GPU, and why you should use the IBM Elastic Storage Server (IBM ESS) to improve storage management. Lastly, we describe how to integrate IBM Watson Machine Learning Accelerator and Hortonworks with or without IBM Watson Studio Local, how to access real-time data, and security. Note: IBM Watson Machine Learning Accelerator is the new product name for IBM PowerAI Enterprise. Note: Hortonworks merged with Cloudera in January 2019. The new company is called Cloudera. References to Hortonworks as a business entity in this publication are now referring to the merged company. Product names beginning with Hortonworks continue to be marketed and sold under their original names.
AI and Big Data on IBM Power Systems Servers
AI and Big Data on IBM Power Systems Servers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI and Big Data on IBM Power Systems Servers write by Ivaylo B. Bozhinov. This book was released on 2019. AI and Big Data on IBM Power Systems Servers available in PDF, EPUB and Kindle.
IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers
IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers write by Dino Quintero. This book was released on 2019-06-05. IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers available in PDF, EPUB and Kindle. This IBM® Redbooks® publication is a guide about the IBM PowerAI Deep Learning solution. This book provides an introduction to artificial intelligence (AI) and deep learning (DL), IBM PowerAI, and components of IBM PowerAI, deploying IBM PowerAI, guidelines for working with data and creating models, an introduction to IBM SpectrumTM Conductor Deep Learning Impact (DLI), and case scenarios. IBM PowerAI started as a package of software distributions of many of the major DL software frameworks for model training, such as TensorFlow, Caffe, Torch, Theano, and the associated libraries, such as CUDA Deep Neural Network (cuDNN). The IBM PowerAI software is optimized for performance by using the IBM Power SystemsTM servers that are integrated with NVLink. The AI stack foundation starts with servers with accelerators. graphical processing unit (GPU) accelerators are well-suited for the compute-intensive nature of DL training, and servers with the highest CPU to GPU bandwidth, such as IBM Power Systems servers, enable the high-performance data transfer that is required for larger and more complex DL models. This publication targets technical readers, including developers, IT specialists, systems architects, brand specialist, sales team, and anyone looking for a guide about how to understand the IBM PowerAI Deep Learning architecture, framework configuration, application and workload configuration, and user infrastructure.
