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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 Slater Victoroff the founder and CTO at Indico, an enterprise AI solution for unstructured content with a focus on document understanding and process automation.  Slater builds machine learning solutions for start-ups, governments, and Fortune 100 companies for the past 7 years.  Indico’s framework requires 1000x less data than traditional machine learning techniques. Show Notes 1:34 – Why did you go from CEO to CTO? 3:51 – What are you pitching to me? 10:55 – What use cases is Indico involved with? 13:23 – What industries do you cross? 18:06 – Is there any cleansing of data? 23:12 – How long does it take? 27:20 – How is the data maintained? 28:14 – What’s the business model? 35:13 – What’s the #1 problem that prevents companies from adapting this technology? 38:59 – What can clients expect? 43:16 – What have you learned about leadership?   Slater Victoroff email: slater.website Indico  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 Nick Amabile. Nick is the CEO is DAS42, a US data analytics consulting firm that helps companies make better decisions, faster. Founded in 2015, DAS42 is comprised of data analysts, scientists, business professionals, and engineers who provide end-to-end data services —including data strategy, tech stack integrations, application implementation, and enterprise analytics training. Nick’s philosophy is centered around the two components critical to achieving data-driven success: building an effective data analytics environment and building a data-centric company culture. Show Notes 2:15 – Nick’s history 4:22 – DAS42 8:52 – Is your brand consulting? 11:07 – What do you do different? 14:39 – What’s important about consulting? 18:25 – Is managed services cost effective? 21:18 – What still surprises you? 25:32 – What metrics do you look at? 28:11 – How has the pandemic affected you? 32:28 – Why venture capital fund? 34:49 – What are your practices today? Website:  das42 Email – [email protected] 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.

Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: Techniques for computing and plotting probabilities Statistical analysis using Scipy How to organize datasets with clustering algorithms How to visualize complex multi-variable datasets How to train a decision tree machine learning algorithm In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. About the Technology A data science project has a lot of moving parts, and it takes practice and skill to get all the code, algorithms, datasets, formats, and visualizations working together harmoniously. This unique book guides you through five realistic projects, including tracking disease outbreaks from news headlines, analyzing social networks, and finding relevant patterns in ad click data. About the Book Data Science Bookcamp doesn’t stop with surface-level theory and toy examples. As you work through each project, you’ll learn how to troubleshoot common problems like missing data, messy data, and algorithms that don’t quite fit the model you’re building. You’ll appreciate the detailed setup instructions and the fully explained solutions that highlight common failure points. In the end, you’ll be confident in your skills because you can see the results. What's Inside Web scraping Organize datasets with clustering algorithms Visualize complex multi-variable datasets Train a decision tree machine learning algorithm About the Reader For readers who know the basics of Python. No prior data science or machine learning skills required. About the Author Leonard Apeltsin is the Head of Data Science at Anomaly, where his team applies advanced analytics to uncover healthcare fraud, waste, and abuse. Quotes Valuable and accessible… a solid foundation for anyone aspiring to be a data scientist. - Amaresh Rajasekharan, IBM Corporation Really good introduction of statistical data science concepts. A must-have for every beginner! - Simone Sguazza, University of Applied Sciences and Arts of Southern Switzerland A full-fledged tutorial in data science including common Python libraries and language tricks! - Jean-François Morin, Laval University This book is a complete package for understanding how the data science process works end to end. - Ayon Roy, Internshala

IBM® Storage as a Service (STaaS) extends your hybrid cloud experience with a new flexible consumption model enabled for both your on-premises and hybrid cloud infrastructure needs, giving you the agility, cash flow efficiency, and services of cloud storage with the flexibility to dynamically scale up or down and only pay for what you use beyond the minimal capacity. This IBM Redpaper provides a detailed introduction to the IBM STaaS service. The paper is targeted for data center managers and storage administrators.

IBM® HyperSwap® is the high availability (HA) solution that provides continuous data availability in case of hardware failure, power failure, connectivity failure, or disasters. The HyperSwap capability is available for IBM FlashSystem® A9000 and IBM FlashSystem A9000R, starting with software version 12.2.1. Version 12.3 introduces a function that combines HyperSwap and Asynchronous replication, which creates a solution that entails HA and Disaster Recovery (DR). One side of the HyperSwap pair has an active async link to the third system, and the other side has a standby link. Known as Multi-site HA/DR, this configuration provides HyperSwap active-active HA while keeping data mirrored to a third copy to ensure two levels of business continuity. This IBM Redpaper™ publication gives a broad understanding of the architecture, design, and implementation of HyperSwap and Multi-site HA/DR solution. It also discusses and illustrates various use cases pertaining to their use and functionality. This paper is intended for those users who want to deploy solutions that take advantage of HyperSwap and Multi-site HA/DR for FlashSystem A9000 and A9000R.

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Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Tim Freestone. Tim is the founder of Alooba. Alloba is a skills assessment platform for analytics, data science and data engineering. They help businesses identify the best candidates that apply for a role within its company. Show Notes 4:46 – How do you go from economics teacher to head of business intelligence? 7:53 – Do CV’s matter anymore? 13:22 – What business problem is Alooba solving? 16:05 – Do you have any data that supports your theory? 19:01 – Why analytics, data science, data engineering? 20:26 - What do you do that others don’t? 23:50 – How does Alooba define success? 25:42 – Who’s your target client base? 32:40 –Is there a customer you can talk about? 36:24 – What does Alooba mean? Alooba  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 Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Ariel Utnik. Ariel is COO and GM at Verbit, an AI-driven transcription and captioning solution, Ariel has over 20 years of experience in enterprise tech, focusing on driving business efficiencies and enabling scale through AI. He can speak to how AI is transforming industries – from our court systems to entertainment and education – and how it can be used to democratize information across the globe.  Ariel has a strong customer focused background (Like Al), Chief customer officer at Feedvisor, VP customer success at Panaya, and VP Customer success at Clarizen. Show Notes 2:51 – Tell us about customer success 4:35 – How do you make the transition from Chief Customer Officer to COO? 6:47 – What is Verbit’s main mission objective? 14:15 – How many languages do you support? 14:42 – What makes Verbit’s technology better? 19:10 – How do you train your AI? 22:47 – What solutions does Verbit offer? 27:20 – How far are we from a chat translator? 32:30 – What is the size of the market? Verbit Ariel Utnik - LinkedIn 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.

IBM® Z has a close and unique relationship to its storage. Over the years, improvements to the Z processors and storage software, the disk storage systems, and their communication architecture consistently reinforced this synergy. This IBM Redpaper publication summarizes and highlights the various aspects, advanced functions, and technologies that are often pioneered by IBM, and that make the IBM Z® and the IBM DS8000 products an ideal combination. This paper is intended for users who have some familiarity with IBM Z and the IBM DS8000® series and want a condensed but comprehensive overview of the synergy items up to the IBM z15™ server with z/OS v2.5 and the IBM DS8900 Release 9.2 firmware.

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 Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Paul Zikopoulos. Paul is the VP of IBM Technology Sales – Skills Vitality & Enablement Global Markets. Paul is an award winning speaker and author and has been at IBM for 28 years.

Show Notes 3:40 – Is Skills Vitality not the prefect job? 5:08 – What’s been your journey at IBM? 8:29 – Hybrid Cloud Operation and Artificial Intelligence is this the right strategy? 21:13 – What is the new maturity curve? 23:53 – Define Data Fabric 26:53 – Why is the Challenger Seller book so important? 29:14 – What makes a great leader? Books Energy Bus Grit Challenger Sale Challenger Customer Effortless Experience  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 Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Jean-Claude Mamou. Jean-Claude is the Chief Architect of Information Integration and Governance portfolio, this includes such products as Watson Knowledge Catalog and Datastage.   Show Notes 1:45 – Jean-Claude’s experience 5:15 – What are the industry challenges? 6:52 – Is there integration without governance? 9:49 – What is the new solution? 13:12 – Understanding your critical data 16:06 – Explain what IBM Satellite means 19:53 – Where does Cloud Pak for Data come into play? 24:57 – What technology can we use to avoid repetitive mistakes? 30:36 – Understanding critical data 33:52 – What is the number 1 data quality issue? 37:08 - How are you inspired and how do you figure your next innovation?  38:52 – Do you have a process you follow? Jean-Claude Mamou – LinkedIn 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 focus of this document is to demonstrate an early threat detection by using IBM® QRadar® and the Safeguarded Copy feature that is available as part of IBM FlashSystem® and IBM SAN Volume Controller. Such early detection protects and quickly recovers the data if a cyberattack occurs. This document describes integrating IBM FlashSystem audit logs with IBM QRadar, and the configuration steps for IBM FlashSystem and IBM QRadar. It also explains how to use the IBM QRadar's device support module (DSM) editor to normalize events and assign IBM QRadar identifier (QID) map to the events. Post IBM QRadar configuration, we review configuring Safeguarded Copy on the application volumes by using volume groups and applying Safeguarded backup polices on the volume group. Finally, we demonstrate the use of orchestration software IBM Copy Services Manager to start a recovery, restore operations for data restoration on online volumes, and start a backup of data volumes.

IBM® Spectrum Protect Plus is a data protection solution that provides near-instant recovery, replication, retention management, and reuse for virtual machines, databases, and application backups in hybrid multicloud environments. This IBM Redpaper publication focuses on protecting database applications. IBM Spectrum® Protect Plus supports backup, restore, and data reuse for multiple databases, such as Oracle, IBM Db2®, MongoDB, Microsoft Exchange, and Microsoft SQL Server. Although other IBM Spectrum Protect Plus features focus on virtual environments, the database and application support of IBM Spectrum Protect Plus includes databases on virtual physical servers.

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Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Russ Krajec. Russ is a “recovering patent attorney” and believes IP can be used as a financial instrument.  He’s the author of Investing in Patents and one of IAM’s Top 300 Patent Strategists.  Russ is CEO of BlueIron, he finances the cost of patent portfolios, insures IP portfolios for enforcement and defense, and provides loans using IP as collateral. Show Notes 1:28 – Russ’s intro 4:51 – How is your business monetized? 6:17 - Shark Tank chat 11:30 – What does BlueIron provide? 14:31 – What data do you use to say ‘this is the next big thing’ 23:24 – How many clients do you work with? 25:50 – Common myths 33:09 – Number one mistake? 39:41 – How do you choose a patent attorney? BlueIron [email protected] Russ Krajec - LinkedIn 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® Redbooks® publication captures several of the preferred practices and describes the performance gains that can be achieved by implementing the IBM FlashSystem products. 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 (SVC), and IBM Storwize® administrators and technicians. Understanding this book requires advanced knowledge of these environments.

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 Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Davit Buniatyan. Davit is founding CEO of Activeloop, he started his PhD at Princeton University, his research involved reconstructing the connectome of the mouse brain. In this research he dealt with large-scale unstructured data which was extremely expensive (amounting to millions of dollars) to manage. Later on, he realized that this problem is a real pain point, not only in the lab setting but also for many companies across industries. This made him think of a radically more efficient, and a machine-learning native way to work with data. The idea of changing how an ML team can create and manage datasets got him into Y Combinator, where he started Activeloop, a startup that has attracted the investment of prominent Silicon Valley VC firms and angel investors, and the attention of the open-source community, with the framework trending number 1 in Python on GitHub worldwide earlier this year. Show Notes 2:05 – Davit’s experience 6:44 – What is your success criteria in the mouse connectome? 8:44 – What did you learn from this? 10:00 – Could this solve ALS? 13:19 – What is the problem you’re solving 17:17 – How do you prepare the data? 24:00 – Why are the naysayers wrong? 25:21 – What is the name of the technology? 31:19 – What problem have you not solved? 37:44 – What keeps you up at night? 38:42 – How are you finding talent?  41:06 – What do you do for fun? Activeloop Activeloop - Twitter Davit Buniatyan - LinkedIn 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 IBM® FlashSystem 5015, 5035, and 5200 help you meet the challenges of rapid data growth while staying within limited IT budgets. These systems allow you to quickly consolidate, simplify, and optimize your IT infrastructure with an efficient, highly flexible, yet easy-to-use storage system with powerful virtualization features. This IBM Redpaper™ publication is intended for mid-market clients.

This IBM Redpaper publication describes best practices for deploying and using advanced Cisco NX-OS features to identify, monitor, and protect Fibre Channel (FC) Storage Area Networks (SANs) from problematic devices and media behavior. The paper focuses on the IBM c-type SAN switches with firmware Cisco MDS NX-OS Release 8.4(2a).

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Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Mark Gabrielson leads RegTech in Expert Labs which is a division of Services that is associated with Development. Mark joined IBM via the Informix acquisition. In the last 10 years Mark has been leading IBMs Commercial Payments Practice. Mark is currently working on projects involving Safer Payments and OpenPages.

Show Notes 4:50 – What’s your most favorite job? 7:58 – Describe RegTech  13:19 – Breaking down silos 20:56 – How do you do it with AI? 23:05 – What is OpenPages sweet spot? 26:50 – If I am a client how do I get started? 30:28 – Who are the competitors? 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 Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Lynne Snead. Lynne is the founder 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 Covey. 1:30 – Lynne talks about her background 5:40 – Lynne’s coaching specialty and mission statement 10:30 – Why don’t all leaders have coaches? 12:08 – Why do you differentiate corporate coaching from life coaching? 16:27 - Do you believe in the element of natural state?  18:32 – How many individuals have you coached? 19:49 – What constitutes a great leader? 20:55 – What are the common mistakes in a leader? 24:44 – Steer them back on track Lynne Snead - LinkedIn Talent Evolution Systems Lynne’s email: [email protected] Leadership and self deception  How will you measure your life? 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 Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Jean-Georges Perrin, Director of Engineering at weexperience. Together, they discuss — and compare — Apache Spark and Hadoop, and explain what it means to hold the title of IBM Champion. Show Notes 02:07 - Connect with Jean-Georges Perrin on LinkedIn and Twitter, and check out his website. 13:14 - Check out Jean-Georges' book on Apache Spark. 24:38 - What does it mean to be an IBM Champion? 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.