Ibm Cloud Pak For Data

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IBM Cloud Pak for Data

Hemanth Manda,Sriram Srinivasan,Deepak Rangarao
IBM Cloud Pak for Data Book PDF

Author : Hemanth Manda,Sriram Srinivasan,Deepak Rangarao
Publisher : Packt Publishing Ltd
Page : 337 pages
File Size : 54,5 Mb
Release : 2021-11-24
Category : Computers
ISBN : 9781800567405

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IBM Cloud Pak for Data by Hemanth Manda,Sriram Srinivasan,Deepak Rangarao Pdf

Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key FeaturesExplore data virtualization by accessing data in real time without moving itUnify the data and AI experience with the integrated end-to-end platformExplore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scaleBook Description Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise. What you will learnUnderstand the importance of digital transformations and the role of data and AI platformsGet to grips with data architecture and its relevance in driving AI adoption using IBM's AI LadderUnderstand Cloud Pak for Data, its value proposition, capabilities, and unique differentiatorsDelve into the pricing, packaging, key use cases, and competitors of Cloud Pak for DataUse the Cloud Pak for Data ecosystem with premium IBM and third-party servicesDiscover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVsWho this book is for This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM's Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.

IBM Cloud Pak for Data with IBM Spectrum Scale Container Native

Gero Schmidt,Tara Astigarraga,Paulina Acevedo,JJ Miller,Dessa Simpson,Austen Stewart,Todd Tosseth,Jayson Tsingine,Israel Andres Vizcarra Godinez,IBM Redbooks
IBM Cloud Pak for Data with IBM Spectrum Scale Container Native Book PDF

Author : Gero Schmidt,Tara Astigarraga,Paulina Acevedo,JJ Miller,Dessa Simpson,Austen Stewart,Todd Tosseth,Jayson Tsingine,Israel Andres Vizcarra Godinez,IBM Redbooks
Publisher : IBM Redbooks
Page : 120 pages
File Size : 45,8 Mb
Release : 2021-12-17
Category : Computers
ISBN : 9780738460093

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IBM Cloud Pak for Data with IBM Spectrum Scale Container Native by Gero Schmidt,Tara Astigarraga,Paulina Acevedo,JJ Miller,Dessa Simpson,Austen Stewart,Todd Tosseth,Jayson Tsingine,Israel Andres Vizcarra Godinez,IBM Redbooks Pdf

This IBM® Redpaper® publication describes configuration guidelines and best practices when IBM Spectrum® Scale Container Native Storage Access is used as a storage provider for IBM Cloud® Pak for Data on Red Hat OpenShift Container Platform. It also provides the steps to install IBM Db2® and several assemblies within IBM Cloud Pak® for Data, including Watson Knowledge Catalog, Watson Studio, IBM DataStage®, Db2 Warehouse, Watson Machine Learning, Watson OpenScale, Data Virtualization, Data Management Console, and Apache Spark. This IBM Redpaper publication was written for IT architects, IT specialists, developers, and others who are interested in installing IBM Cloud Pak for Data with IBM Spectrum Scale Container Native.

IBM Cloud Pak for Data on IBM Z

Jasmeet Bhatia,Ravi Gummadi,Chandra Shekhar Reddy Potula,Srirama Sharma,IBM Redbooks
IBM Cloud Pak for Data on IBM Z Book PDF

Author : Jasmeet Bhatia,Ravi Gummadi,Chandra Shekhar Reddy Potula,Srirama Sharma,IBM Redbooks
Publisher : IBM Redbooks
Page : 40 pages
File Size : 52,5 Mb
Release : 2023-07-11
Category : Computers
ISBN : 9780738461069

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IBM Cloud Pak for Data on IBM Z by Jasmeet Bhatia,Ravi Gummadi,Chandra Shekhar Reddy Potula,Srirama Sharma,IBM Redbooks Pdf

Most industries are susceptible to fraud, which poses a risk to both businesses and consumers. According to The National Health Care Anti-Fraud Association, health care fraud alone causes the nation around $68 billion annually. This statistic does not include the numerous other industries where fraudulent activities occur daily. In addition, the growing amount of data that enterprises own makes it difficult for them to detect fraud. Businesses can benefit by using an analytical platform to fully integrate their data with artificial intelligence (AI) technology. With IBM Cloud Pak® for Data on IBM Z, enterprises can modernize their data infrastructure, develop, and deploy machine learning (ML) and AI models, and instantiate highly efficient analytics deployment on IBM LinuxONE. Enterprises can create cutting-edge, intelligent, and interactive applications with embedded AI, colocate data with commercial applications, and use AI to make inferences. This IBM Redguide publication presents a high-level overview of IBM Z. It describes IBM Cloud Pak for Data (CP4D) on IBM Z and IBM LinuxONE, the different features that are supported on the platform, and how the associated features can help enterprise customers in building AI and ML models by using core transactional data, which results in decreased latency and increased throughput. This publication highlights real-time CP4D on IBM Z use cases. Real-time Clearing and Settlement Transactions, Trustworthy AI and its Role in Day-To-Day Monitoring, and the Prevention of Retail Crimes are use cases that are described in this publication. Using CP4D on IBM Z and LinuxONE, this publication shows how businesses can implement a highly efficient analytics deployment that minimizes latency, cost inefficiencies, and potential security exposures that are connected with data transportation.

IBM Storage Fusion Backup and Restore for IBM Cloud Pak for Data

Paulina Acevedo,Austen Stewart,Todd Tosseth,IBM Redbooks
IBM Storage Fusion Backup and Restore for IBM Cloud Pak for Data Book PDF

Author : Paulina Acevedo,Austen Stewart,Todd Tosseth,IBM Redbooks
Publisher : IBM Redbooks
Page : 76 pages
File Size : 53,6 Mb
Release : 2023-06-07
Category : Computers
ISBN : 9780738461151

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IBM Storage Fusion Backup and Restore for IBM Cloud Pak for Data by Paulina Acevedo,Austen Stewart,Todd Tosseth,IBM Redbooks Pdf

IBM Cloud Pak® for Data can be protected with IBM Spectrum FusionTM. This IBM Redpaper publication covers backing up IBM Cloud Pak for Data with a non-disruptive (online) backup and then restoring to an alternate cluster. During an online backup, normal runtime operations in the Cloud Pak for Data cluster continue while the backup completes. The backup process includes creating policies and automating backups in IBM Spectrum Fusion, then protecting Cloud Pak for Data, protecting IBM Spectrum Fusion namespace and the IBM Spectrum® Protect Plus (SPP) catalog. Backup and restore is supported from IBM Storage Fusion HCI to IBM Spectrum Fusion software as well as from IBM Storage Fusion Software to IBM Storage Fusion HCI. IBM Spectrum Fusion HCI and IBM Spectrum Fusion have become IBM Storage Fusion HCI System and IBM Storage Fusion. This edition uses the IBM Spectrum brand names and will be updated with the next edition. IBM Spectrum Fusion must be at 2.3 or higher with "Backup" service installed. If using IBM Storage Fusion 2.5.2, the "Backup (Legacy)" service should be used.

SingleStore Database on High Performance IBM Spectrum Scale Filesystem with Red Hat OpenShift and IBM Cloud Pak for Data

Nilesh Suryawanshi,Hemant Kantak,Tan-Long Siau,IBM Redbooks
SingleStore Database on High Performance IBM Spectrum Scale Filesystem with Red Hat OpenShift and IBM Cloud Pak for Data Book PDF

Author : Nilesh Suryawanshi,Hemant Kantak,Tan-Long Siau,IBM Redbooks
Publisher : IBM Redbooks
Page : 34 pages
File Size : 53,8 Mb
Release : 2022-09-15
Category : Computers
ISBN : 9780738460819

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SingleStore Database on High Performance IBM Spectrum Scale Filesystem with Red Hat OpenShift and IBM Cloud Pak for Data by Nilesh Suryawanshi,Hemant Kantak,Tan-Long Siau,IBM Redbooks Pdf

This IBM® blueprint describes the SingleStoreDB that is running on Red Hat OpenShift in a containerized environment. The SingleStoreDB deployment uses the IBM Spectrum® Scale container native access storage class to create persistent volumes (PVs) for the SingleStoreDB pods deployment. This document also describes the process that is used to expand a SingleStoreDB volume on IBM Spectrum Scale and an IBM Spectrum Scale PV on a Red Hat OpenShift cluster for IBM Spectrum Scale to verify that the SingleStoreDB remained intact after the volume is expanded. The procedure to create a sample database that is named stockDB, and the data analytical stats for reading and writing the data also are included. The sample data was captured for comparison statistics for SingleStoreDB that is deployed on the IBM Spectrum Scale Cluster File System and local storage. These comparison statistics emphasize the notable difference between the sample data sets. Finally, this document also explains the procedure that is used to create the same sample database with the unlimited storage feature in SingleStore by using IBM Cloud® Object Storage.

Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover

Joseph Dain,Abeer Selim,Anil Patil,Christopher Vollmar,Flavio de Rezende,Frank Greco,Frank N. Lee,Isom Crawford Jr.,Ivaylo B. Bozhinov,Joanna Wong,Joshua Blumert,Larry Coyne,IBM Redbooks
Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover Book PDF

Author : Joseph Dain,Abeer Selim,Anil Patil,Christopher Vollmar,Flavio de Rezende,Frank Greco,Frank N. Lee,Isom Crawford Jr.,Ivaylo B. Bozhinov,Joanna Wong,Joshua Blumert,Larry Coyne,IBM Redbooks
Publisher : IBM Redbooks
Page : 108 pages
File Size : 42,6 Mb
Release : 2020-08-11
Category : Computers
ISBN : 9780738459028

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Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover by Joseph Dain,Abeer Selim,Anil Patil,Christopher Vollmar,Flavio de Rezende,Frank Greco,Frank N. Lee,Isom Crawford Jr.,Ivaylo B. Bozhinov,Joanna Wong,Joshua Blumert,Larry Coyne,IBM Redbooks Pdf

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.

Enabling IBM Cloud Pak for Multicloud Management to Connect Kubernetes Clusters Using IBM Secure Gateway

Michael Bubel,IBM Redbooks
Enabling IBM Cloud Pak for Multicloud Management to Connect Kubernetes Clusters Using IBM Secure Gateway Book PDF

Author : Michael Bubel,IBM Redbooks
Publisher : IBM Redbooks
Page : 26 pages
File Size : 48,8 Mb
Release : 2020-11-20
Category : Computers
ISBN : 9780738459165

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Enabling IBM Cloud Pak for Multicloud Management to Connect Kubernetes Clusters Using IBM Secure Gateway by Michael Bubel,IBM Redbooks Pdf

In today's dynamically changing IT landscape, it is highly likely that a company's cloud strategy spans multiple cloud providers. Such a span is known as the hydrid multi-cloud landscape. The challenges that quickly surface in an IT department's list of responsibilities now encompass managing environments that are running on multiple cloud providers. The traditional IT administrators find themselves using individual dashboards for each of the cloud providers to monitor and manage those environments. In turn, each of the cloud provider's dashboards have their own unique features that require a learning curve to become productive. The traditional IT administrator must now become a specialized hybrid cloud engineer with different hats for each of the cloud providers. This dynamic led to the quick realization of the need for a tool that provides a common dashboard for managing a company's hybrid cloud landscape. IBM® is one such company that quickly recognized this need and used their experience in years of systems management tools created the IBM Cloud® Pak for Multicloud Management. This paper describes the steps that are required to connect a Kubernetes management dashboard that is provided with the IBM Cloud Pak® for Multicloud Management running on an on-premises private cloud to Kubernetes clusters that are running on public clouds. An IBM Cloud service that is called IBM Secure Gateway is at the core of this connection. The procedure to set up the Kubernetes clusters to use the IBM Secure Gateway service also is described this paper.

IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage

Joseph Dain,Norman Bogard,Isom Crawford Jr.,Mathias Defiebre,Larry Coyne,IBM Redbooks
IBM Spectrum Discover Metadata Management for Deep Insight of Unstructured Storage Book PDF

Author : Joseph Dain,Norman Bogard,Isom Crawford Jr.,Mathias Defiebre,Larry Coyne,IBM Redbooks
Publisher : IBM Redbooks
Page : 152 pages
File Size : 50,6 Mb
Release : 2019-10-01
Category : Computers
ISBN : 9780738457864

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IBM Spectrum Discover: Metadata Management for Deep Insight of Unstructured Storage by Joseph Dain,Norman Bogard,Isom Crawford Jr.,Mathias Defiebre,Larry Coyne,IBM Redbooks Pdf

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.

IBM Integrated Synchronization: Incremental Updates Unleashed

Christian Michel,Cüneyt Göksu,Günter Schöllmann,IBM Redbooks
IBM Integrated Synchronization Incremental Updates Unleashed Book PDF

Author : Christian Michel,Cüneyt Göksu,Günter Schöllmann,IBM Redbooks
Publisher : IBM Redbooks
Page : 50 pages
File Size : 49,6 Mb
Release : 2021-01-27
Category : Computers
ISBN : 9780738459288

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IBM Integrated Synchronization: Incremental Updates Unleashed by Christian Michel,Cüneyt Göksu,Günter Schöllmann,IBM Redbooks Pdf

The IBM® Db2® Analytics Accelerator (Accelerator) is a logical extension of Db2 for IBM z/OS® that provides a high-speed query engine that efficiently and cost-effectively runs analytics workloads. The Accelerator is an integrated back-end component of Db2 for z/OS. Together, they provide a hybrid workload-optimized database management system that seamlessly manages queries that are found in transactional workloads to Db2 for z/OS and queries that are found in analytics applications to Accelerator. Each query runs in its optimal environment for maximum speed and cost efficiency. The incremental update function of Db2 Analytics Accelerator for z/OS updates Accelerator-shadow tables continually. Changes to the data in original Db2 for z/OS tables are propagated to the corresponding target tables with a high frequency and a brief delay. Query results from Accelerator are always extracted from recent, close-to-real-time data. An incremental update capability that is called IBM InfoSphere® Change Data Capture (InfoSphere CDC) is provided by IBM InfoSphere Data Replication for z/OS up to Db2 Analytics Accelerator V7.5. Since then, an extra new replication protocol between Db2 for z/OS and Accelerator that is called IBM Integrated Synchronization was introduced. With Db2 Analytics Accelerator V7.5, customers can choose which one to use. IBM Integrated Synchronization is a built-in product feature that you use to set up incremental updates. It does not require InfoSphere CDC, which is bundled with IBM Db2 Analytics Accelerator. In addition, IBM Integrated Synchronization has more advantages: Simplified administration, packaging, upgrades, and support. These items are managed as part of the Db2 for z/OS maintenance stream. Updates are processed quickly. Reduced CPU consumption on the mainframe due to a streamlined, optimized design where most of the processing is done on the Accelerator. This situation provides reduced latency. Uses IBM Z® Integrated Information Processor (zIIP) on Db2 for z/OS, which leads to reduced CPU costs on IBM Z and better overall performance data, such as throughput and synchronized rows per second. On z/OS, the workload to capture the table changes was reduced, and the remainder can be handled by zIIPs. With the introduction of an enterprise-grade Hybrid Transactional Analytics Processing (HTAP) enabler that is also known as the Wait for Data protocol, the integrated low latency protocol is now enabled to support more analytical queries running against the latest committed data. IBM Db2 for z/OS Data Gate simplifies delivering data from IBM Db2 for z/OS to IBM Cloud® Pak® for Data for direct access by new applications. It uses the special-purpose integrated synchronization protocol to maintain data currency with low latency between Db2 for z/OS and dedicated target databases on IBM Cloud Pak for Data.

Intelligent Automation with IBM Cloud Pak for Business Automation

Allen Chan,Kevin Trinh,Guilhem Molines,Suzette Samoojh,Stephen Kinder
Intelligent Automation with IBM Cloud Pak for Business Automation Book PDF

Author : Allen Chan,Kevin Trinh,Guilhem Molines,Suzette Samoojh,Stephen Kinder
Publisher : Packt Publishing Ltd
Page : 450 pages
File Size : 51,8 Mb
Release : 2022-12-09
Category : Computers
ISBN : 9781801811125

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Intelligent Automation with IBM Cloud Pak for Business Automation by Allen Chan,Kevin Trinh,Guilhem Molines,Suzette Samoojh,Stephen Kinder Pdf

Leverage the low-code/no-code approach in IBM Cloud Pak for business automation to accelerate your organization's digital transformation Purchase of the print or Kindle book includes a free eBook PDF Key FeaturesGet a comprehensive understanding of IBM Cloud Pak for Business AutomationTake a deep dive into insights on RPA, workflow automation, and automated decisionsDeploy and manage production-grade automated solutions for scalability, stability, and performanceBook Description COVID-19 has made many businesses change how they work, change how they engage their customers, and even change their products. Several of these businesses have also recognized the need to make these changes within days as opposed to months or weeks. This has resulted in an unprecedented pace of digital transformation; and success, in many cases, depends on how quickly an organization can react to real-time decisions. This book begins by introducing you to IBM Cloud Pak for Business Automation, providing a hands-on approach to project implementation. As you progress through the chapters, you'll learn to take on business problems and identify the relevant technology and starting point. Next, you'll find out how to engage both the business and IT community to better understand business problems, as well as explore practical ways to start implementing your first automation project. In addition, the book will show you how to create task automation, interactive chatbots, workflow automation, and document processing. Finally, you'll discover deployment best practices that'll help you support highly available and resilient solutions. By the end of this book, you'll have a firm grasp on the types of business problems that can be solved with IBM Cloud Pak for Business Automation. What you will learnUnderstand key IBM automation technologies and learn how to apply them Cover the end-to-end journey of creating an automation solution from concept to deploymentUnderstand the features and capabilities of workflow, decisions, RPA, business applications, and document processing with AIAnalyze your business processes and discover automation opportunities with process miningSet up content management solutions that meet business, regulatory, and compliance needsUnderstand deployment environments supported by IBM Cloud Pak for Business AutomationWho this book is for This book is for robotic process automation (RPA) professionals and automation consultants who want to accelerate the digital transformation of their businesses using IBM automation. This book is also useful for solutions architects or enterprise architects looking for best practices to build resilient and scalable AI-driven automation solutions. A basic understanding of business processes, low-code visual modeling techniques, RPA, and AI concepts is assumed.

Accelerating Modernization with Agile Integration

Adeline SE Chun,Aiden Gallagher,Amar A Shah,Callum Jackson,Claudio Tagliabue,Iliya Dimitrov,James Blackburn,Joel Gomez,Kim Clark,Lee Gavin,Maria Menendez,Martin Evans,Mohammed Alreedi,Murali Sitaraman,Nick Glowacki,Shishir Narain,Timothy Quigly,Tony Curcio,Ulas Cubuk,Vasfi Gucer,IBM Redbooks
Accelerating Modernization with Agile Integration Book PDF

Author : Adeline SE Chun,Aiden Gallagher,Amar A Shah,Callum Jackson,Claudio Tagliabue,Iliya Dimitrov,James Blackburn,Joel Gomez,Kim Clark,Lee Gavin,Maria Menendez,Martin Evans,Mohammed Alreedi,Murali Sitaraman,Nick Glowacki,Shishir Narain,Timothy Quigly,Tony Curcio,Ulas Cubuk,Vasfi Gucer,IBM Redbooks
Publisher : IBM Redbooks
Page : 650 pages
File Size : 41,8 Mb
Release : 2020-07-01
Category : Computers
ISBN : 9780738458366

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Accelerating Modernization with Agile Integration by Adeline SE Chun,Aiden Gallagher,Amar A Shah,Callum Jackson,Claudio Tagliabue,Iliya Dimitrov,James Blackburn,Joel Gomez,Kim Clark,Lee Gavin,Maria Menendez,Martin Evans,Mohammed Alreedi,Murali Sitaraman,Nick Glowacki,Shishir Narain,Timothy Quigly,Tony Curcio,Ulas Cubuk,Vasfi Gucer,IBM Redbooks Pdf

The organization pursuing digital transformation must embrace new ways to use and deploy integration technologies, so they can move quickly in a manner appropriate to the goals of multicloud, decentralization, and microservices. The integration layer must transform to allow organizations to move boldly in building new customer experiences, rather than forcing models for architecture and development that pull away from maximizing the organization's productivity. Many organizations have started embracing agile application techniques, such as microservice architecture, and are now seeing the benefits of that shift. This approach complements and accelerates an enterprise's API strategy. Businesses should also seek to use this approach to modernize their existing integration and messaging infrastructure to achieve more effective ways to manage and operate their integration services in their private or public cloud. This IBM® Redbooks® publication explores the merits of what we refer to as agile integration; a container-based, decentralized, and microservice-aligned approach for integration solutions that meets the demands of agility, scalability, and resilience required by digital transformation. It also discusses how the IBM Cloud Pak for Integration marks a significant leap forward in integration technology by embracing both a cloud-native approach and container technology to achieve the goals of agile integration. The target audiences for this book are cloud integration architects, IT specialists, and application developers.

Artificial Intelligence

Steven Astorino,Mark Simmonds
Artificial Intelligence Book PDF

Author : Steven Astorino,Mark Simmonds
Publisher : MC Press
Page : 0 pages
File Size : 40,6 Mb
Release : 2019-10
Category : Computers
ISBN : 1583478922

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Artificial Intelligence by Steven Astorino,Mark Simmonds Pdf

From humble evolutions in research papers and labs, artificial intelligence (AI)--which encompasses Machine Learning (ML) and Deep Learning (DL)--has matured in its many forms, infused in applications that can learn on their own and become progressively smarter with each interaction and transaction. Coupled with immense stores of data, maturity in CPU and GPU hardware, the invention of new, open source deep learning algorithms, and cloud technologies, operational AI has become available to the masses, setting the wheels in motion for a worldwide AI revolution that has never been seen before. This book attempts to help the reader on their AI journey by covering the concepts of AI, Machine Learning, and Deep Learning in its many forms; key ML and DL algorithms data scientists should learn; ethical challenges for the use of AI; how AI is being used across industries; possible future outlook for AI, and an AI Ladder to help accelerate the AI journey.

The AI Ladder

Rob Thomas,Paul Zikopoulos
The AI Ladder Book PDF

Author : Rob Thomas,Paul Zikopoulos
Publisher : "O'Reilly Media, Inc."
Page : 238 pages
File Size : 55,5 Mb
Release : 2020-04-30
Category : Computers
ISBN : 9781492073383

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The AI Ladder by Rob Thomas,Paul Zikopoulos Pdf

AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder—a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows

Cloud Computing For Dummies

Judith S. Hurwitz,Robin Bloor,Marcia Kaufman,Fern Halper
Cloud Computing For Dummies Book PDF

Author : Judith S. Hurwitz,Robin Bloor,Marcia Kaufman,Fern Halper
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 48,6 Mb
Release : 2010-01-19
Category : Computers
ISBN : 9780470597422

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Cloud Computing For Dummies by Judith S. Hurwitz,Robin Bloor,Marcia Kaufman,Fern Halper Pdf

The easy way to understand and implement cloud computing technology written by a team of experts Cloud computing can be difficult to understand at first, but the cost-saving possibilities are great and many companies are getting on board. If you've been put in charge of implementing cloud computing, this straightforward, plain-English guide clears up the confusion and helps you get your plan in place. You'll learn how cloud computing enables you to run a more green IT infrastructure, and access technology-enabled services from the Internet ("in the cloud") without having to understand, manage, or invest in the technology infrastructure that supports them. You'll also find out what you need to consider when implementing a plan, how to handle security issues, and more. Cloud computing is a way for businesses to take advantage of storage and virtual services through the Internet, saving money on infrastructure and support This book provides a clear definition of cloud computing from the utility computing standpoint and also addresses security concerns Offers practical guidance on delivering and managing cloud computing services effectively and efficiently Presents a proactive and pragmatic approach to implementing cloud computing in any organization Helps IT managers and staff understand the benefits and challenges of cloud computing, how to select a service, and what's involved in getting it up and running Highly experienced author team consults and gives presentations on emerging technologies Cloud Computing For Dummies gets straight to the point, providing the practical information you need to know.

Information Governance Principles and Practices for a Big Data Landscape

Chuck Ballard,Cindy Compert,Tom Jesionowski,Ivan Milman,Bill Plants,Barry Rosen,Harald Smith,IBM Redbooks
Information Governance Principles and Practices for a Big Data Landscape Book PDF

Author : Chuck Ballard,Cindy Compert,Tom Jesionowski,Ivan Milman,Bill Plants,Barry Rosen,Harald Smith,IBM Redbooks
Publisher : IBM Redbooks
Page : 280 pages
File Size : 44,5 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9780738439594

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Information Governance Principles and Practices for a Big Data Landscape by Chuck Ballard,Cindy Compert,Tom Jesionowski,Ivan Milman,Bill Plants,Barry Rosen,Harald Smith,IBM Redbooks Pdf

This IBM® Redbooks® publication describes how the IBM Big Data Platform provides the integrated capabilities that are required for the adoption of Information Governance in the big data landscape. As organizations embark on new use cases, such as Big Data Exploration, an enhanced 360 view of customers, or Data Warehouse modernization, and absorb ever growing volumes and variety of data with accelerating velocity, the principles and practices of Information Governance become ever more critical to ensure trust in data and help organizations overcome the inherent risks and achieve the wanted value. The introduction of big data changes the information landscape. Data arrives faster than humans can react to it, and issues can quickly escalate into significant events. The variety of data now poses new privacy and security risks. The high volume of information in all places makes it harder to find where these issues, risks, and even useful information to drive new value and revenue are. Information Governance provides an organization with a framework that can align their wanted outcomes with their strategic management principles, the people who can implement those principles, and the architecture and platform that are needed to support the big data use cases. The IBM Big Data Platform, coupled with a framework for Information Governance, provides an approach to build, manage, and gain significant value from the big data landscape.