Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.  Abstract Bill Higgins, IBM Distinguished Engineer joins us for this episode of Making Data Simple. Host Al Martin gets all the details from Bill regarding transformation. What is needed to deliver transformation that scales? How difficult is it to do at a company as large as IBM? Tune in to find out and more.  Connect with Bill  LinkedIn Twitter Medium Show Notes 04:22 - Here are some more tips on driving successful transformation. 11:14 - Check out this story from another IBM Distinguished Engineer. 15:38 - Learn more about Peter Norvig from his site here. Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This IBM® Redbooks® publication introduces the latest member of the IBM Z® platform, the IBM z15™ (machine type 8561). It includes information about the Z environment and how it helps integrate data and transactions more securely. It also provides insight for faster and more accurate business decisions. The z15 is a state-of-the-art data and transaction system that delivers advanced capabilities, which are vital to any digital transformation. The z15 is designed for enhanced modularity, which is in an industry-standard footprint. The z15 system excels at the following tasks: Using multicloud integration services Securing data with pervasive encryption Providing resilience with key to zero downtime Transforming a transactional platform into a data powerhouse Getting more out of the platform with IT Operational Analytics Accelerating digital transformation with agile service delivery Revolutionizing business processes Blending open source and Z technologies This book explains how this system uses new innovations and traditional Z strengths to satisfy growing demand for cloud, analytics, and open source technologies. With the z15 as the base, applications can run in a trusted, reliable, and secure environment that improves operations and lessens business risk.

IBM Storage for Red Hat OpenShift is a comprehensive container-ready solution that includes all the hardware & software components necessary to setup and/or expand your Red Hat OpenShift environment. This blueprint includes Red Hat OpenShift Container Platform and uses Container Storage Interface (CSI) standards. IBM Storage brings enterprise data services to containers. In this blueprint, learn how to: · Combine the benefits of IBM Systems with the performance of IBM Storage solutions so that you can deliver the right services to your clients today! · Build a 24 by 7 by 365 enterprise class private cloud with Red Hat OpenShift Container Platform utilizing new open source Container Storage interface (CSI) drivers · Leverage enterprise class services such as NVMe based flash performance, high data availability, and advanced container security IBM Storage for Red Hat OpenShift Container Platform is designed for your DevOps environment for on-premises deployment with easy-to-consume components built to perform and scale for your enterprise. Simplify your journey to cloud with pre-tested and validated blueprints engineered to enable rapid deployment and peace of mind as you move to a hybrid multicloud environment. You now have the capabilities.

This paper is intended as an architecture and configuration guide to set up the IBM® System Storage® for the SAP HANA tailored data center integration (SAP HANA TDI) within a storage area network (SAN) environment. SAP HANA TDI allows the SAP customer to attach external storage to the SAP HANA server. The paper also describes the setup and configuration of SAP Landscape Management for SAP HANA systems on IBM infrastructure components: IBM Power Systems™ and IBM Storage based on IBM Spectrum™ Virtualize. This document is written for IT technical specialists and architects with advanced skill levels on SUSE Linux Enterprise Server (SLES) or Red Hat Enterprise Linux (RHEL) and IBM System Storage. This document provides the necessary information to select, verify, and connect IBM System Storage to the SAP HANA server through a Fibre Channel-based SAN. The recommendations in this Blueprint apply to single-node and scale-out configurations, and Intel and IBM Power based SAP HANA systems.

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Abstract This week, our guest is Debra Jenson, director of digital technical engagement  for IBM Hybrid Cloud. Host Al Martin and Debra discuss churn rates, client  retention, buying methods and more. How do you acquire and keep clients in  such a competitive market? Get all the details in this episode of Making Data Simple.

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Show Notes 06:54 - Checkout this article on the role of the user experience in product development.  11:51 - Try before you buy is reshaping how we purchase products. 20:38 - Checkout IBM's demos here.   Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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 Storage for Red Hat OpenShift Container Platform is a comprehensive container-ready solution that includes all the hardware & software components necessary to setup and/or expand your Red Hat OpenShift Container Platform V3.11 environment. IBM Storage, bringing enterprise data services to containers. In this blueprint, learn how to: • Combine the benefits of IBM Systems with the performance of IBM Storage solutions so that you can deliver the right services to your clients today! • Build a 24 by 7 by 365 enterprise class private cloud with Red Hat OpenShift Container Platform • Leverage enterprise class services such as NVMe based flash performance, high data availability, and advanced container security IBM Storage for Red Hat OpenShift Container Platform: designed for your DevOps environment for on-premises deployment with easy-to-consume components built to perform and scale for your enterprise. Simplify your journey to cloud with pre-tested and validated blueprints engineered to enable rapid deployment and peace of mind as you move to a hybrid multicloud environment. You now have the capabilities.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. On this episode of Making Data Simple, we are joined by esteemed IBM Fellow, Namik Hrle. Host Al Martin taps into Namik’s passion for engineering and technology. Their conversation covers the IBM Z mainframe platform, as well as what Namik predicts to be the next big trend in the industry. You’ll also hear about the more artistic side to Namik: his love for music and film. Get ready for another wide-ranging yet engaging discussion.  Connect with Namik LinkedIn Show Notes 01:07 - Unsure what it means to be an IBM Fellow? Find out here. 08:12 - Learn more about IBM Z here. 20:32 - Check out this article on the new z15 IBM mainframe. 37:12 - Here are 31 Fun Facts about Oktoberfest.  Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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.

This IBM® Redbooks® publication provides information for attaching the IBM FlashSystem® A9000, IBM FlashSystem A9000R, and IBM XIV® Storage System to various host operating system platforms, such as IBM AIX® and Microsoft Windows. This publication was last updated in May 2019 to cover the VLAN tagging and port trunking support available with software version 12.3.2 (see in particular section 2.4, "VLAN tagging" on page 67. The goal is to give an overview of the versatility and compatibility of the IBM Spectrum™ Accelerate family of storage systems with various platforms and environments. The information that is presented here is not meant as a replacement or substitute for the IBM Storage Host Attachment Kit publications or other product publications. It is meant as a complement and to provide usage guidance and practical illustrations. This publication does not address attachments to a secondary system used for Remote Mirroring or data migration. These topics are covered in IBM FlashSystem A9000 and IBM FlashSystem A9000 and A9000R Business Continuity Solutions, REDP-5401.

Having appropriate storage for hosting business-critical data and advanced Security Information and Event Management software for deep inspection, detection, and prioritization of threats has become a necessity of any business. This IBM® Redpaper publication explains how the storage features of IBM Spectrum® Scale, combined with the log analysis, deep inspection, and detection of threats provided by IBM QRadar®, helps reduce the impact of incidents on business data. Such integration provides an excellent platform for hosting unstructured business data that is subject to regulatory compliance requirements. This paper describes how IBM Spectrum Scale file audit logging can be integrated with IBM QRadar. Using QRadar, an administrator can monitor, inspect, detect, and derive insights for identifying potential threats to the data stored on IBM Spectrum Scale. When the threats are identified, you can quickly act on them to mitigate or reduce the impact of incidents. This paper is intended for chief technology officers, solution engineers, security architects, and systems administrators. NOTE: This paper assumes a basic understanding of IBM Spectrum Scale, IBM QRadar, and their administration.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. This week, IBM new hires Analeeze Mendonsa and Brittny Lapierre join host Al Martin on the podcast to discuss the careers they’re starting at IBM. The conversation ranges from outlining some of the exciting projects they’re working on, to which Canadian University is best, to what you should be considering for your bucket list. Listen in for a wide-ranging and fun discussion. Connect with our Guests Brittny Lapierre - LinkedIn | Website Analeeze Mendonsa - LinkedIn  Paul Zikopolous - LinkedIn Show Notes 04:15 - Check out the Watson Jeopardy match here.  12:15 - Learn more about Ericsson here. 17:44 - Find out the latest statistics behind women in computer science here.   Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This document is intended to facilitate the deployment of the Cyber Resiliency solution for IBM® Spectrum Scale. This solution is designed to protect the data on IBM Spectrum™ Scale from external cyberattacks or insider attacks using its integration with IBM Spectrum Protect™ and IBM Tape Storage. To complete the tasks that it describes, you must understand IBM Spectrum Scale™, IBM Spectrum Protect, and IBM Tape Storage architecture, concepts, and configuration. The information in this document is distributed on an as-is basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM Spectrum Scale or IBM Spectrum Protect are supported and entitled, and where the issues are specific to a blueprint implementation.

This IBM® Redbooks® publication helps strengthen the position of the IBM PowerHA® SystemMirror® for Linux solution with well-defined and documented deployment models within an IBM Power Systems™ environment, which provides customers a planned foundation for business resilience and disaster recovery (DR) for their IBM Power Systems infrastructure solutions. This book addresses topics to help answer customers' complex high availability (HA) and DR requirements for IBM AIX® and Linux on IBM Power Systems servers to help maximize system availability and resources and provide technical documentation to transfer the how-to-skills to users and support teams. This publication is targeted at technical professionals (consultants, technical support staff, IT architects, and IT specialists) who are responsible for providing HA and DR solutions and support for IBM PowerHA SystemMirror for AIX and Linux Standard and Enterprise Editions on IBM Power Systems servers.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.  Seth Dobrin is back for his third episode on Making Data Simple. Seth talks us through the current innovations IBM is working on and shares his advice for leading teams and motivating efforts. Seth also tells it like it is on the state of AI. How close is business to actually running AI? Seth weighs in. Connect with Seth Dobrin LinkedIn Show Notes 04:05 - Learn more about the Chief Data Officer (CDO) position here. 06:49 - Find out more about the Data Science Elite team here. 13:41 - Here are 7 tips to growing your talent pipeline.  20:14 - Check out this article on the current state of AI.  Connect with the Team Producer Liam Seston - LinkedIn and Twitter. Producer Rachit Sharma - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This IBM® Redpaper publication provides an update to the original description of IBM Reference Architecture for Genomics. This paper expands the reference architecture to cover all of the major vertical areas of healthcare and life sciences industries, such as genomics, imaging, and clinical and translational research. The architecture was renamed IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences to reflect the fact that it incorporates key building blocks for high-performance computing (HPC) and software-defined storage, and that it supports an expanding infrastructure of leading industry partners, platforms, and frameworks. The reference architecture defines a highly flexible, scalable, and cost-effective platform for accessing, managing, storing, sharing, integrating, and analyzing big data, which can be deployed on-premises, in the cloud, or as a hybrid of the two. IT organizations can use the reference architecture as a high-level guide for overcoming data management challenges and processing bottlenecks that are frequently encountered in personalized healthcare initiatives, and in compute-intensive and data-intensive biomedical workloads. This reference architecture also provides a framework and context for modern healthcare and life sciences institutions to adopt cutting-edge technologies, such as cognitive life sciences solutions, machine learning and deep learning, Spark for analytics, and cloud computing. To illustrate these points, this paper includes case studies describing how clients and IBM Business Partners alike used the reference architecture in the deployments of demanding infrastructures for precision medicine. This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing life sciences solutions and support.

This IBM® Redbooks® publication provides a security and compliance solution that is optimized for virtualized environments on IBM Power Systems™ servers, running IBM PowerVM® and IBM AIX®. Security control and compliance are some of the key components that are needed to defend the virtualized data center and cloud infrastructure against ever evolving new threats. The IBM business-driven approach to enterprise security that is used with solutions, such as IBM PowerSC™, makes IBM the premier security vendor in the market today. The book explores, tests, and documents scenarios using IBM PowerSC that leverage IBM Power Systems servers architecture and software solutions from IBM to help defend the virtualized data center and cloud infrastructure against ever evolving new threats. This publication helps IT and Security managers, architects, and consultants to strengthen their security and compliance posture in a virtualized environment running IBM PowerVM.

Send us a text In this episode of Making Data Simple, our guest is Jayson Gehri, Marketing Director for the IBM Hybrid Data Management portfolio. Host Al Martin turns to Jayson to provide marketing insights, specifically regarding the technology sector. Together, they cut through the jargon and explain some of the most important marketing concepts that you should be considering. Connect with Jayson Gehri LinkedIn Show Notes 02:52 - Check out this article offering their thoughts on the state of Data and AI.  04:57 - Get a sneak peak on what the new Tesla truck may look like, thanks to these renderings.  14:26 - Here's a profile on Edward Bernays. 18:55 - Here are 8 Keys to a Strong Marketing Strategy. 21:16 - Learn more about the Maldives here. Connect with the Team Host Al Martin - LinkedIn and Twitter. Producer Liam Seston - LinkedIn. Producer Rachit Sharma - LinkedIn.  Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.

Content Manager Eric Hausken - LinkedIn. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.  This week is something a bit different. Host Al Martin brings on two of IBM's Db2 Content Design interns, who also happen to be Making Data Simple producers. Liam Seston and Rachit Sharma explain what happens behind the scenes of the podcast, along with what IBM is all about through the eyes of an intern. Show Notes 01:25 - Click here to learn more about the role of an Information Developer. 02:16 - Check out these 10 benfits of being an intern. 03:23 - These are the podcasts Liam listens to:  Command Line Heroes Our Fake History The Collective Podcast04:08 - These are the podcasts Rachit listens to:  How it Began Science VsLet's Talk About Myths, Baby!04:36 - These are the podcasts Al listens to: InvestEdUp FirstThe Indicatora16zRevisionist HistoryConan O'Brien Needs A FriendConspiracy TheoriesThe Tim Ferris Show14:35 - Check out this article on 4 Ways a Film Degree Will Help You In Any Career. Connect with the Team Host Al Martin - LinkedIn and Twitter. Producer and guest Liam Seston - LinkedIn. Producer and guest Rachit Sharma - LinkedIn.  Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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This week, host Al Martin chats with Kent Collins, the solutions architect at BNSF Railway Inc. Al just did a panel with Kent in June at IDUG North America 2019, one of the premiere Db2 conferences. They talk about evolving technology, professional roles, and business opportunities -- and Kent shares his expertise on how to use statistics.

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Show Notes 01:25 - Connect with Kent Collins on LinkedIn. 11:45 - What is Edge Computing?

44:05 - Blog: Enterprise Db2

Connect with the Team Producer Liam Seston - LinkedIn and Twitter. Producer Rachit Sharma - LinkedIn. Producer Lana Cosic - LinkedIn.

Producer Meighann Helene - LinkedIn.  Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.