Key Points

1. IBM cloud is a fairly closed platform similar to Azure ( don't bring open-source here )
2. The option does exist to implement open-source solutions on IBM cloud but then the focus is on infrastructure cost, availability, reliability

References

Key Concepts

Potential Value Opportunities

Potential Challenges

Candidate Solutions

IBM Palantir - automate data mining on Cloud Data Pack

IBM Cloud Data Pak overview pdf

Last week’s IBM/Palantir announcement provides a new solution called “Palantir for IBM Cloud Pak for Data,” which leverages Palantir’s Foundry Analytics platform to supplement IBM Watson and Red Hat OpenShift services.

IBM is positioning the new offering as a “low-code/no-code” platform for deploying enterprise AI applications that provides automated data discovery, processing, and pipelining across the vast amounts of siloed data that exists in on-premises, hybrid and cloud environments. This reduces the need for deep AI skills and compresses the time it takes to deploy AI applications.

IBM is effectively merging its hybrid cloud, artificial intelligence, data processing, and operational technology into this new product aimed at business clients and targeting this strategy at helping organizations accelerate their broader digital transformation journey.

Concepts 

The AI Ladder™. Consisting of four steps, or “rungs”, the ladder provides a framework to help clients turn AI aspirations into real business outcomes. –

• Collect: Make data simple and accessible –
• Organize: Create a business-ready analytics foundation –
• Analyze: Build and scale AI with trust and transparency –
• Infuse: Operationalize AI throughout your business

To deliver on the AI Ladder, IBM created a fully-integrated data and AI platform—IBM Cloud Pak® for Data—that can run on any cloud or on premises environment.

Eliminate Data Silos with an integrated, managed data lake

By eliminating the complexities of integrating data of different types and structures, data virtualization provides cost savings in storage and resources. IBM Cloud Pak for Data provides a 25–65% reduction in ETL requests, and with modern compression techniques such as Virtual Data Pipeline, you can also reduce the required storage of data copies.

Saves on storage and ETLs but may increase network costs significantly based on use cases

Customizable data governance support to manage, control sensitive data, sources

Efficiently respond to changing regulations with embedded, sophisticated governance capabilities; these include automated discovery and classification of data, masking of sensitive data, data zones and data lifecycle management

Automated AI and data services life cycle management

Manage the end-to-end AI lifecycle from a single platform. When you use the IBM Cloud Pak for Data services that support the automated AI lifecycle, you can govern your data, prepare your data, build AI models, deploy and manage your models at scale, govern your models, detect and mitigate bias and drift in your models, and understand how your AI models make predictions.

q> what about the feedback governance impact management, alerts?

Accelerated insights from pre-built solutions and tools for workflow integrations

With a suite of prebuilt applications and tools to build, run and manage your AI available through IBM Watson® technology, you can accelerate insights to predict and shape outcomes and infuse intelligence into your workflows

Collaborative team environment with 3rd party plugins

With a vibrant ecosystem of proprietary, open source and third party services, IBM Cloud Pak for Data can consolidate modernized legacy services from disparate vendors, while significantly reducing your IT spend on software maintenance.

Red Hat OpenShift supports run anywhere

Cloud native architecture has prompted a paradigm shift in how software is developed and delivered—and it is not just reserved for public clouds. Red Hat OpenShift Container Platform helps realize these benefits anywhere through containerized services, container management and orchestration 

Cloud Data Pak options

• IBM Cloud Pak for Data: A client-managed software platform that runs on any cloud –
• IBM Cloud Pak for Data System: A preconfigured, hyper-converged system that combines storage, compute, networking and software and reduces private cloud deployment times to a matter of hours –
• IBM Cloud Pak for Data as a Service: A “pay-as-you go” subscription model for a starter set of IBM Cloud Pak for Data services, fully managed on the IBM Cloud

Potential use cases for Cloud Data Pak

• Ensure trust and compliance across all data, AI and open source assets
• Improve efficiency in managing data availability, quality
• Provide faster business flexibility
• Deliver optimized data, recommendations for better quality decisions

Step-by-step guide for Example

sample code block

Recommended Next Steps

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