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    Technology

    IBM Cloud Podcast

    The IBM Cloud podcast – covering capabilities, methods, and discoveries

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    Copyright: © IBM Cloud Podcast

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    Latest Episodes:
    The podcast is back and moving forward May 13, 2021
    Show notes

    Thanks for the patience. The podcast is back and moving forward. Direct feedback and topic ideas to dan.bettinger@ibm.com
    Music: Mercury by Shane Ivers - https://www.silvermansound.com


    Managed OpenShift has a Posse (the Developer Voice) Nov 16, 2020
    Show notes

    In this episode of the IBM Cloud Podcast we go a little bit behind the scenes at IBM and talk about the user. The user journey is super important at IBM Cloud, yet most of what we do is very developer centric. Today, Sai Vennam, joins us on the show to discuss his journey to fame and how he has influenced IBM Cloud being "the voice of the developer". Sai discusses what he likes, doesn't like....but mostly what makes him tick as a developer and why he loves being a developer for IBM
    A super social, technical offering manager, Sai has a wonderful relationship with the developer community and shares his thoughts, views and interacts through his social channels. A quick Google search of Sai will show you this and also all the wonderful video content he created and developed over the years.


    VMware and RedHat and IBM Cloud Jun 29, 2020
    Show notes

    In the fourth and final episode of this 4-part series around Software define Data centres and VMware on IBM Cloud, Matt Johnson joins us on the show to discuss the interesting world of RedHat and VMware on IBM Cloud. Customers can take advantage of VMware's support of Red Hat OpenShift in a scalable and automated cloud model. With this foundation, anyone can lift and shift VMware workloads to the IBM Cloud initially and then, over time, modernize their applications by deploying Red Hat OpenShift. We see how simple this really is


    Disaster Recovery and Backup in a Software Defined DC Jun 26, 2020
    Show notes

    In the third episode of this 4-part series around Software define Data centres and VMware on IBM Cloud, Jordan Shamir joins us on the show to discuss the interesting world of disaster recovery and back up within a software defined data centres. . We discuss the importance of disaster recovery and having a back up solution in place before diving in the SDDC space. We get a chance to talk about the solutions IBM Cloud offer in this space and how it all works across multiple clouds. #

    #BusinessContinuity

    #Cloud

    #RecoveryTimeObjective

    #HighAvailability

    #MultiZoneRegions


    The Makeup of a Software-Defined Data Centre May 20, 2020
    Show notes

    In the second episode of this 4-part series around Software define Data centres and VMware on IBM Cloud, Rajeev Saxena joins us on the show to discuss the magic behind the intelligent software system which drives virtual data centres today. We discuss the partnership of IBM & VMware, the success and concerns of implement and how IBM just made it super easy to get started with an industry leading entry point.


    The Software-Defined Data Centre May 18, 2020
    Show notes

    JD Wells kicks off this 4-part series around Software define Data centres and VMware on IBM Cloud. We get a complete overview of this key and revenant IT space and how IBM's relationship with VMware is providing a more Secure Journey To Cloud Trusted By Thousands Of Enterprises. VMware on IBM Cloud Solutions are designed to help move VMware workloads from on premises to the IBM Cloud.


    Outsmarting Mobile Mar 05, 2020
    Show notes

    Roger Snook joins us on the show to talk about how IBM offers the platform and tools needed to build native mobile apps and robust mobile back ends. Roger explains how the dynamic world of mobile is always changing and how we need to be prepared to build smarter mobile services and applications using, of course, IBM Cloud. If you plan or are planning to build, launch and maintain native, hybrid or web-based mobile apps Roger gives us some food for thought in this thought provoking episode.

    Don't forget to subscribe to get updates when a new episode launches

    To learn more, check out: https://www.ibm.com/cloud


    The Challenge of AI: Unlock the value of data and AI in a multi-cloud world Oct 28, 2019
    Show notes

    In the final episode of our 7 mini-series on the The Challenges of AI, we chat with Clarinda Mascarenhas about an item that isn't part of the AI Ladder, but is still needed by enterprises - Modernize. The average enterprise has 5-6, in addition to a wealth of data scattered across on-premises and legacy systems. That data must be integrated, governed, and leveraged across the full AI lifecycle. With Modernize, customers can make their data ready for an AI and hybrid cloud world by

    • automating the end-to-end data and AI lifecycle management
    • integrating and govern data across hybrid cloud and data settings
    • virtualizing all data, regardless of where it lives

    Don't forget to subscribe to get updates when a new episode launches


    • To learn more, check out: https://www.ibm.com/watson

    The Challenge of AI: Operationalize AI throughout the business Oct 25, 2019
    Show notes

    In the sixth episode of our 7 mini-series on the The Challenges of AI, we chat with Susann Ulrich about the top rung of our ladder - Infuse. Simply stated, this rung is about operationalizing AI throughout your business - leveraging AI to automate processes, improve business outcomes, reduce costs, make employees more productive, and rapidly innovate with new business models.

    Don't forget to subscribe to get updates when a new episode launches

    To learn more, check out: https://www.ibm.com/watson


    The Challenge of AI: Build and scale AI with trust and transparency Oct 23, 2019
    Show notes

    In this fifth episode of our mini-series on the The Challenges of AI, we chat with Chris Zobler about the third rung of the AI Ladder - Analyze. 65% of businesses do not fully trust their organizations analytics well enough to base their business on the output of machine learning models and AI software. To address these concerns, clients want to instill trust with built-in explainability, bias remediation and policy compliance, as well as build, run and manage AI models in unified experience

    Don't forget to subscribe to get updates when a new episode launches

    To learn more, check out: https://www.ibm.com/watson


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