IBM Cloud Podcast

A conversation about IT economics and public cloud with Christian Miemiec Manager from the IBM IT Economics Team.

Show Notes:

A conversation with Hillery Hunter about industry clouds for financial services, telecommunications, and other regulated industries.

Show Notes:

A conversation with Doug Davis about how IBM Cloud Code Engine allows developers to spend more time coding.

Alex McMullen discusses confidential computing and associated use cases.

Links:

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. 

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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

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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.

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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

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In this fourth episode of our 7-part mini-series on the The Challenges of AI, we chat with Jay Limburn about second rung of the AI Ladder - Organize, where clients moving to AI need to cleanse, integrate & catalog all types of data, ensure governance & lineage of all your data, and deploy virtual data pipelines so data doesn't have to be moved as it is used.

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81% of businesses don't understand the data required for AI.  80% is locked in silos or not business-ready.

In this third episode of our mini-series on the The Challenges of AI, we chat with Matthias Funke. about the first rung of the AI Ladder - Collect.  Before you can start doing AI, you need to know where your data resides across multiple clouds in a hybrid environment, the quality and value of the data, and its readiness to be ingested into analytics and AI tools.  The Collect rung of the ladder addresses these challenges by employing AI models for all types of data – structured, semi or unstructured, and providing access to this data through a common SQL engine.

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Data fuels digital transformation.  AI unlocks the value of that Data.  Companies seeking to transform their business with artificial intelligence run into 3 major challenges:

• Data is the lifeblood of AI, but complexity slows progress.  80% is locked in silos or not business-ready.
• AI skills are rare and in high demand.  62% are challenged to acquire talent [and build skills].
• Skepticism of AI systems & processes.  62% indicate need an approach to AI production readiness.

Until these challenges are addressed, businesses will find that operationalizing, sustaining and scaling AI is challenging - in other words, an experiment.

In the second of our 7-part series on the challenges of AI, Russ Milano discusses the IBM AI Ladder - IBM's prescriptive approach on how to solve the 3 challenges so AI transforms your business.

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#Artificial #Intelligence is a $16T opportunity, the largest ever.   83% of all businesses say AI is a key initiative for the immediate #future.  Yet 81% don't understand the data required for AI, 60% see #compliance as a barrier due to a lack of #trust in AI outcomes, and 65% of businesses do not fully trust their own organizations analytics.  As a result, only 1 in 20 companies have extensively incorporated AI into offerings or processes

Deborah Leff kicks off this 7-part series, exploring this #disconnect - the drive to #AI, the gaps hindering #adoption, and how can they be addressed?

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Cloud-native #development takes an #agile approach to creating new #applications. Using a #DevOps based #continuous #delivery model, #software development teams can quickly, iteratively and #automatically add new features to an application. This has created a shift in how we build and create applications and run workloads

In this final part to our mini-series on Everything #CloudNative, we chat again with Briana Frank, taking a look back at the previous episodes then diving into IT's hottest topic: #IBM and #RedHat. We find out how it is all going before chatting around views on #open sources and #technologies, how and why IBM could move with speed, what changes today's users will see , managed Red Hat OpenShift on IBM Cloud and finally, we take a glance into Briana's crystal ball.

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Cloud-native #development takes an #agile approach to creating new #applications. Using a #DevOps based #continuous #delivery model, #software development teams can quickly, iteratively and automatically add new features to an application. This has created a shift in how we build and create applications and run workloads 

In this fifth part to our mini-series on all things Cloud Native, we chat again with Dan Berg, this time about how he, as a coder, uses the technologies to gain advantage. In other words, Dan tells his inner most secrets to being widely successful in today's technology infused world and why it can not happen without the use of Cloud Native. 

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Cloud-native #development takes an #agile approach to creating new #applications. Using a #DevOps based #continuous #delivery model, #software development teams can quickly, iteratively and automatically add new features to an application. This has created a shift in how we build and create applications and run workloads 

In this fifth part to our mini-series on all things Cloud Native, we chat Chris Rosen- about #microservices #architecture. We talk around how this style or architecture improves time to market and gives an all round better app #quality. Chris tells us why it is so much needed in today world, the best ways to get yourself building and helps use to understand it's power using real life #examples. 

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Cloud native #development takes an #agile approach to creating new #applications. Using a #DevOps based #continuous #delivery model, #software development teams can quickly, iteratively and automatically add new features to an application. This has created a shift in how we build and create applications and run workloads 

In this fourth part to our mini-series on all things Cloud Native, we chat yet again to two IBM execs we've heard from earlier - Briana Frank and Dan Berg - about the right way to begin or even jumping starting your idea with the IBM Cloud #Garage. Briana and Dan talk around the importance of organising your teams, leadership and having clearly defined roles and responsibilities. We talk around #methodologies and #practises, but mostly, keeping it #simple works. 

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Cloud-native #development takes an #agile approach to creating new #applications. Using a #DevOps based #continuous #delivery model, #software development teams can quickly, iteratively and automatically add new features to an application. This has created a shift in how we build and create applications and run workloads 

In this third part to our mini-series on Everything Cloud Native, we chat with two IBM execs we've heard from earlier - Briana Frank and Dan Berg - about the cultural shift required to transform an organization to producing cloud native applications.

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Cloud-native #development takes an #agile approach to creating new #applications. Using a #DevOps based #continuous #delivery model, #software development teams can quickly, iteratively and automatically add new features to an application.

In this, the second part to our mini-series on all things Cloud Native, we chat with an intelligent and highly technical Distinguished Engineer from the IBM Cloud Kubernetes team, Dan Berg, about what it is really like to run #Kubernetes in production. Dan tells us aboutthe secret sauce to success and what you need to do to be a part of it.

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Cloud-native applications are designed to capitalize on the #scalability and #flexibility of the cloud. In contrast to traditional,monolithic applications, cloud-native applications are built using multiple, independent #microservices that are deployed in cloud environments.

In this first episode of our mini-series on all things #Cloud #Native, we chat with IBM executive Briana Frank who helps set the scene around cloud native #builds and #processes today. Briana helps us gain a better understand of what cloud native actually means and how we can remove #complexities from #business. We talk about examples, use cases,and how cloud native is more than just an #agile approach to #application development. 

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