Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover - 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 Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover write by Joseph Dain. This book was released on 2020-08-11. Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover available in PDF, EPUB and Kindle. This IBM® Redpaper publication explains how IBM Spectrum® Discover integrates with the IBM Watson® Knowledge Catalog (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to make the enriched catalog content in IBM Spectrum Discover along with the associated data available in WKC and IBM CP4D. From an end-to-end IBM solution point of view, IBM CP4D and WKC provide state-of-the-art data governance, collaboration, and artificial intelligence (AI) and analytics tools, and IBM Spectrum Discover complements these features by adding support for unstructured data on large-scale file and object storage systems on premises and in the cloud. Many organizations face challenges to manage unstructured data. Some challenges that companies face include: Pinpointing and activating relevant data for large-scale analytics, machine learning (ML) and deep learning (DL) workloads. Lacking the fine-grained visibility that is needed to map data to business priorities. Removing redundant, obsolete, and trivial (ROT) data and identifying data that can be moved to a lower-cost storage tier. Identifying and classifying sensitive data as it relates to various compliance mandates, such as the General Data Privacy Regulation (GDPR), Payment Card Industry Data Security Standards (PCI-DSS), and the Health Information Portability and Accountability Act (HIPAA). This paper describes how IBM Spectrum Discover provides seamless integration of data in IBM Storage with IBM Watson Knowledge Catalog (WKC). Features include: Event-based cataloging and tagging of unstructured data across the enterprise. Automatically inspecting and classifying over 1000 unstructured data types, including genomics and imaging specific file formats. Automatically registering assets with WKC based on IBM Spectrum Discover search and filter criteria, and by using assets in IBM CP4D. Enforcing data governance policies in WKC in IBM CP4D based on insights from IBM Spectrum Discover, and using assets in IBM CP4D. Several in-depth use cases are used that show examples of healthcare, life sciences, and financial services. IBM Spectrum Discover integration with WKC enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. The integration improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.
Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover
Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover - 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 Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover write by Joseph Dain. This book was released on 2020. Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover 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.
Digital Management Practice
Digital Management Practice - 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 Digital Management Practice write by Adrian Vogler. This book was released on 2024-01-28. Digital Management Practice available in PDF, EPUB and Kindle. The book illustrates how managers and knowledge workers can effectively harness collective and artificial intelligence to counteract the effects of exponential change and successfully implement digitization within their organizations. The author applies the proven management principles of Peter F. Drucker to the new challenges of the digital age, enhancing them with the concepts of collective and artificial intelligence. This approach also takes into account the insights of Daniel Kahneman regarding "Thinking, Fast and Slow" and the associated cognitive biases and deficits in human thinking. By leveraging innovative tools – collective and artificial intelligence – these deficits can be mitigated, aiding in decision-making. The use of these tools in innovation management and work organization is also discussed. Readers are provided with practical tips and strategies for implementation. Embark on an exciting journey through digital management practices and successfully navigate the challenges of the digital world.
IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage
IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage - 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 Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage write by Joseph Dain. This book was released on 2019-10-01. IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage available in PDF, EPUB and Kindle. This IBM® Redpaper publication provides a comprehensive overview of the IBM Spectrum® Discover metadata management software platform. We give a detailed explanation of how the product creates, collects, and analyzes metadata. Several in-depth use cases are used that show examples of analytics, governance, and optimization. We also provide step-by-step information to install and set up the IBM Spectrum Discover trial environment. More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data such as: Pinpointing and activating relevant data for large-scale analytics Lacking the fine-grained visibility that is needed to map data to business priorities Removing redundant, obsolete, and trivial (ROT) data Identifying and classifying sensitive data IBM Spectrum Discover is a modern metadata management software that provides data insight for petabyte-scale file and Object Storage, storage on premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage. IBM Spectrum Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.
