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Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Lynne Snead. Lynne is the founder and owner of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003. Show Notes 1:42 – Lynne talks about her career  4:44 – What is your definition of Coach? 7:38 – Beginning of the year intentions 16:24 – Line of sight 36:40 – How do you prioritize in business? 44:40 – Style is important 50:54 – What is the “cheat” to align different styles?

Speed of Trust Atomic Habits

Vern Harnish  Lynne Snead Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

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 Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Elliot Shmukler. Elliot is currently Founder and CEO of Anomalo. Elliot was formerly a Product Engineer Executive at Wealthfront, LinkedIn, eBay, and Instacart. Elliot left Instacart about three years ago to form Anomalo.

Show Notes 3:03 – Is the common problem data quality or data? 6:38 – What is the biggest area of friction at Instacart? 9:43 – What made you go branch out on your own? 15:02 – How does Anomalo solve the data quality problems? 21:56 – Tell us about the tech 27:50 – When should I contact you? 31:03 – Tell us about your Forbes article  39:47 – Tells us about your pitch   Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

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 Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Ayal Steinberg VP, WW Data, AI, and Automation Sales Leader Global Markets. Ayal started off in music and then in the late 1990’s shifted to retail where he learned about data and analytics. In the past 20 years Ayal has held various sales rolls during his career.  Show Notes 2:18 – What the new year means in sales 7:09 – How are you going to go to market in 2022? 10:36 – If we jumped to this time next year 2023, how did 2022 go? 12:36 – Does the Challenger Sale still apply today? 14:58 – How do you execute influence? 18:39 – What motivates a core sales team? 21:34 – What are your tricks and tips around shared communication? And then how do you build on that shared influence? Connect with the Team Producer Kate Mayne - LinkedIn. Producer Steve Templeton - 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 captures several of the preferred practices and describes the performance gains that can be achieved by implementing the IBM FlashSystem® products that are powered by IBM Spectrum® Virtualize Version 8.4.2. These practices are based on field experience. This book highlights configuration guidelines and preferred practices for the storage area network (SAN) topology, clustered system, back-end storage, storage pools and managed disks, volumes, Remote Copy services, and hosts. It explains how you can optimize disk performance with the IBM System Storage Easy Tier® function. It also provides preferred practices for monitoring, maintaining, and troubleshooting. This book is intended for experienced storage, SAN, IBM FlashSystem, SAN Volume Controller, and IBM Storwize® administrators and technicians. Understanding this book requires advanced knowledge of these environments.

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Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Ayal Steinburg VP, WW Data, AI, and Automation Sales Leader Global Markets. Ayal started off in music and then in the late 1990’s shifted to retail where he learned about data and analytics. In the past 20 years Ayal has held various sales rolls during his career.  Show Notes 9:18 – Ayal’s history 11:50 – Ayal talks about his portfolio  16:16 – Market expansion and reducing costs 19:02 – Platform and one product 21:50 – Why IBM technologies? 24:20 – Why are customers moving data? 27:56 – Is “Switzerland” a hard or easy sell? 30:52 – What is your biggest challenge right now? IBM Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

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 Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Michael Haase. Michael is CEO and Founder of Plant Jammer. Plant Jammer is a 5 year old startup that uses AI to help people cook. Michael was formally a Mackenzie Consultant. The technology used won the IBM Watson AI in 2018, Michael also won the Creative Business Cup in 2018 and Green Entrepreneur award by Veggie World. Show Notes 2:40 – What data are you using? 8:16 – What the widget does 10:53 – Do I get the nutritional facts?  11:17 – Tell us more about your experience 14:50 – Where does AI fit? 19:10 – How did you win the Watson AI award? 23:02 – What is your monetization strategy?   Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

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 Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Michael Haase. Michael is CEO and Founder of Plant Jammer. Plant Jammer is a 5 year old startup that uses AI to help people cook. Michael was formally a Mackenzie Consultant. The technology used won the IBM Watson AI in 2018, Michael also won the Creative Business Cup in 2018 and Green Entrepreneur award by Vegie World. Show Notes 3:24 – Michael’s history 7:09 – What’s your theme? 11:04 – 80% of people cook less than 10 different recipes in a year. Is that true? 16:20 – Can you talk about your ambition for 2024? 18:22 – How does the company focus on reducing food waste and using data? 21:04 – Is the app and widget the same? 23:58 – Can anyone grab that widget? Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

The next-generation IBM® c-type Directors and switches for IBM Storage Networking provides high-speed Fibre Channel (FC) and IBM Fibre Connection (IBM FICON®) connectivity from the IBM Z® platform to the storage area network (SAN) core. It enables enterprises to rapidly deploy high-density virtualized servers with the dual benefit of higher bandwidth and consolidation. This IBM Redpaper Redbooks publication helps administrators understand how to implement or migrate to an IBM c-type SAN environment. It provides an overview of the key hardware and software products, and it explains how to install, configure, monitor, tune, and troubleshoot your SAN environment.

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 Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Kim Smith. Kim is Global Vice President, Hybrid Cloud Services Consulting at IBM. Kim is author, UNCTAD speaker, executive board member, top 10 women in cloud, 10 ten game changing female leaders.  Show Notes 1:25 – Kim’s experience 5:44 – What did you code in? 8:56 – How do you continue to reinvent yourself? 11:29 – What have you done to drive value? 14:02 – Describe your roll at IBM 18:18 – What does IBM offer in Containerization? 24:54 – What use cases are you working on? 28:10 – How does the engagement work? 35:48 – What are the top technology trends going to be? 42:53 – Say more on the top 10 women in Cloud and the top 10 game changing female leaders Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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 describes best practices for deploying and using advanced Broadcom Fabric Operating System (FOS) features to identify, monitor, and protect Fibre Channel (FC) SANs from problematic devices and media behavior. Note that this paper primarily focuses on the FOS command options and features that are available since version 8.2 with some coverage of new features that were introduced in 9.0. This paper covers the following recent changes: SANnav Fabric Performance Impact Notification

IBM® Hyper Protect Data Controller is designed to provide privacy protection of your sensitive data and give ease of control and auditability. It can manage how data is shared securely through a central control. Hyper Protect Data Controller can protect data wherever it goes—security policies are kept and honored whenever the data is accessed and future data access can be revoked even after data leaves the system of record. This IBM Redbooks® publication can assist you with determining how to get started with IBM Hyper Protect Data Controller through a use case approach. It will help you plan for, install, tailor and configure the Hyper Protect Data Controller. It includes information about the following topics: Concepts and reference architecture Common use cases with implementation guidance and advice Implementation and policy examples Typical operational tasks for creating policies and preparing for audits Monitoring user activity and events This IBM Redbooks publication is written for IT Managers, IT Architects, Security Administrators, data owners, and data consumers.

Artificial intelligence (AI) enables computers and machines to mimic the perception, learning, problem-solving, and decision-making capabilities of the human mind. AI development is made possible by the availability of large amounts of data and the corresponding development and wide availability of computer systems that can process all that data faster and more accurately than humans can. What happens if you infuse AI with a world-class database management system, such as IBM Db2®? IBM® has done just that with Db2 AI for z/OS (Db2ZAI). Db2ZAI is built to infuse AI and data science to assist businesses in the use of AI to develop applications more easily. With Db2ZAI, the following benefits are realized: Data science functionality Better built applications Improved database performance (and DBA's time and efforts are saved) through simplification and automation of error reporting and routine tasks Machine learning (ML) optimizer to improve query access paths and reduce the need for manual tuning and query optimization Integrated data access that makes data available from various vendors including private cloud providers. This IBM Redpaper® publication helps to simplify your installation by tailoring and configuration of Db2 AI for z/OS®. It was written for system programmers, system administrators, and database administrators.

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 Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Greg Edwards, CEO at Cryptostopper.  Greg has been a technology entrepreneur since 1998. Before Greg founded CryptoStopper, Greg started Axis Backup, a backup and disaster recovery company for the insurance industry. Greg  saw firsthand the rapid increase in the damage cyber criminals were doing with debilitating malware resulting in high financial loss to vulnerable companies. Between 2012 and 2015, one in five of Axis Backup’s clients was hit by cybercrime. Greg realized effective cyber security could save businesses from costly downtime and compromised systems. In 2015, Axis Backup was acquired by J2 Global, freeing Greg to create CryptoStopper and focus exclusively on cybersecurity. Show Notes 1:29 – Greg’s background 6:20 – Why the name CryptoStopper? 8:06 – How do you define ransomware?  12:18 – 1 in 5 backups were hit by cybercrime? 16:05 – How bad is it? 24:38 – What does your technology do? 29:36 – What makes your product different? 33:31 – Ransomware is the # 2 threat to businesses getcryptostopper.com Greg’s email: gedwards@ getcryptostopper.com Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

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 Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Benn Stancil, Chief Analytics Officer + Founder @ Mode. Benn is an accomplished data analyst with deep expertise in collaborative Business Intelligence and Interactive Data Science. Benn is Co-founder, President, and Chief  Analytics Officer of Mode, an award-winning SaaS company that combines the best elements of Business Intelligence (ABI), Data Science (DS) and Machine Learning (ML) to empower data teams to answer impactful questions and collaborate on analysis across a range of business functions. Under Benn’s leadership, the Mode platform has evolved to enable data teams to explore, visualize, analyze and share data in a powerful end-to-end workflow. Prior to founding Mode, Benn served in senior Analytics positions at Microsoft and Yammer, and worked as a  researcher for the International Economics Program at the Carnegie Endowment for International Peace. Benn also served as an Undergraduate Research Fellow at Wake Forest University,  where he received his B.S. in Mathematics and Economics. Benn believes in fostering a shared sense of humility and gratitude.

Show Notes 1:22 – Benn’s history 7:09 – Tell us how you got to where you are today 9:14 – Tell us about Mode 12:08 – What is your definition of the Chief Analytics Officer? 21:53 – Why do we need another BI tool? 24:09 – What’s your secret sauce? 27:48 – Where did the name Mode come from? 28:41 – How do we use Mode? 31:08 – What is you goto market strategy?  32:38 – Any client references? 34:58 – “The missing piece in the modern data stack” tell us about this Mode  Email: [email protected] [email protected] Twitter: benn stancil Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

Cyberattacks are likely to remain a significant risk for the foreseeable future. Attacks on organizations can be external and internal. Investing in technology and processes to prevent these cyberattacks is the highest priority for these organizations. Organizations need well-designed procedures and processes to recover from attacks. The focus of this document is to demonstrate how the IBM® Unified Data Foundation (UDF) infrastructure plays an important role in delivering the persistence storage (PV) to containerized applications, such as IBM Cloud® Pak for Security (CP4S), with IBM Spectrum® Scale Container Native Storage Access (CNSA) that is deployed with IBM Spectrum scale CSI driver and IBM FlashSystem® storage with IBM Block storage driver with CSI driver. Also demonstrated is how this UDF infrastructure can be used as a preferred storage class to create back-end persistent storage for CP4S deployments. We also highlight how the file I/O events are captured in IBM QRadar® and offenses are generated based on predefined rules. After the offenses are generated, we show how the cases are automatically generated in IBM Cloud Pak® for Security by using the IBM QRadar SOAR Plugin, with a manually automated method to log a case in IBM Cloud Pak for Security. This document also describes the processes that are required for the configuration and integration of the components in this solution, such as: Integration of IBM Spectrum Scale with QRadar QRadar integration with IBM Cloud Pak for Security Integration of the IBM QRadar SOAR Plugin to generate automated cases in CP4S. Finally, this document shows the use of IBM Spectrum Scale CNSA and IBM FlashSystem storage that uses IBM block CSI driver to provision persistent volumes for CP4S deployment. All models of IBM FlashSystem family are supported by this document, including: FlashSystem 9100 and 9200 FlashSystem 7200 and FlashSystem 5000 models FlashSystem 5200 IBM SAN Volume Controller All storage that is running IBM Spectrum Virtualize software

This IBM® Redbooks® publication is intended for individuals who want to maximize the performance of their DS8900 storage systems and investigate the planning and monitoring tools that are available.

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Abstract Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Douwe Maan. Douwe is the Founder and CEO of Meltano, an open source data integration and transformation platform. He joined GitLab as employee number 10 while still in college and later became its Engineering Manager. Meltano originally began as an internal project within GitLab, but spun out as an independent startup in early 2021 while raising $4.2 million in seed funding led by GV. Today, Meltano has over 5,000 active projects every month and supports data integration connectors for almost 300 sources and destinations. Show Notes 1:30 – Douwe’s history 4:00 – What is an iPhone jail break? 8:04 – How would you describe Meltano? 10:38 – What kind of tools do you use? 12:12 – Did you start with ELT? 16:08 – Is this dev ops or data ops and what is the difference? 18:38 – What platform does Meltano use? 29:52 – What can you do that no one else can do? 32:10 – Do you have point and click analytics? 36:23 – How do you measure success? Meltano  Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

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 Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Wennie Allen Business Director, Data Science and AI Elite Team and Carlo Appugliese Program Director – Data &AI, Data Science Elite Team. This week we talk about agile AI and remote data science. Carlo discusses his book, while Wennie talks about the secret sauce. Show Notes 2:56 – How do we get people to adopt AI? 4:49 – Carlo’s book 6:15 – Why do we call it agile AI? 11:12 – Six weeks to get it done! 15:07 – Where are we at with AI? 16:54 - Problems with AI today 22:05 – Secret sauce 26:31 - Process and methodology  30:22 – Talk data 34:19 – Integration, trust, and quick deployment 36:10 – Working remote 39:40 – How do you engage? Remote Data Science Website: http://ibm.biz/RemoteDataScience Agile AI Blog: http://ibm.biz/DSE-AgileAI-Blog Agile AI Book:   http://ibm.biz/DSE-AgileAI Community: http://ibm.biz/DSE-Community Chat with the Lab: http://ibm.biz/DSE-ChatWithTheLab Consultation: http://ibm.biz/DSE-Consultation Blogs:  Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen Data Science and AI from anywhere... by Carlo Appugliese Wennie on LinkedIn linkedin.com/in/wennie-allen Carlo on LinkedIn linkedin.com/in/carloappugliese Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

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 Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Yonatan Geifman, CEO & Co-founder of DECI.ai. We provide a proprietary optimization technology for deep learning practitioners that complements other techniques like pruning, quantization and NAS, enabling you to accelerate deep neural network inference on any hardware while preserving accuracy. Show Notes 1:28 – Yonatan’s experience 4:19 – What did you see in the market that didn’t exist today?  9:30 – How does the process begin? 11:57 – Does it sync in the cloud? 14:50 – What is it that you can’t find in the market? 20:13 – What is the most common hardware? 22:55 – What are your thoughts on bias? 26:08 – What is your definition for AI to be practical? 31:35 – What do you do when the data is not ready? DECI Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - 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.

In the midst of global disruptions, every element of IBM® Supply Chain has been affected. the IBM cognitive supply chain is positioned to win the future by using the exponential technologies that are inherent to our supply chains, and with flexibility, resiliency, and end-to-end visibility. The constant commitment of IBM to building smarter supply chains over the past decade has primed IBM to quickly and effectively navigate these disruptions and course-correct by using cognitive innovation. As a result, IBM Supply Chain teams were able to deliver exceptional outcomes without client disruption. In addition, this widespread impact inspired numerous new solutions that include exponential technologies that better prepare IBM for future disruptions in constantly changing markets.