Thoughts and Reflections……
Accelerate your Data Fabric Journey with Express and Quickstart Offerings
In November 2022, I coauthored and published a book: ‘Data Fabric – An Intelligent Data Architecture for AI’. It discusses the value of the data fabric approach and architecture, along with some of the most common use cases organizations might encounter on their Data and AI journeys. Getting started on that journey might seem a…
A New Redbooks Publication “IBM Cloud Pak for Data Version 4.5: A practical, hands-on guide with best practices, examples, use cases, and walk-throughs” .
“IBM Cloud Pak for Data Version 4.5: A practical, hands-on guide with best practices, examples, use cases, and walk-throughs”, was created at the request of customers whom I have interacted with over the years. Organizations have long recognized the value that IBM Redbooks provide in guiding them with best practices, frameworks and hands-on examples as…
A New Book: “Data Fabric – An Intelligent Data Architecture for AI”
I recently had the pleasure of co-authoring another book titled “Data Fabric – An Intelligent Data Architecture for AI”. Much has been written and hyped about data fabrics so we pulled this book together into what we believe is a compelling story conveying the importance and value of the data fabric approach – a data…
Announcing IBM Cloud Pak for Data 4.5
On June 28 2022, IBM announced Cloud Pak for Data 4.5, with planned availability for June 29, 2022. IBM Cloud Pak for Data 4.5 offers new functionality and features designed to help organizations connect with their data and drive intelligent business outcomes. Some of the highlights of the 4.5 release are: Backup/Restore Disruption-free backups and disaster recovery (DR)…
Artificial Intelligence – Evolution and Revolution
I’ve just released the second print of a book I co-authored titled “Artificial Intelligence – Evolution and Revolution”. Here’s chapter 8 – just as an extract that you might find interesting on the value of taking a hybrid multicloud platform approach for implementing Data and AI related projects. If you enjoy the read, a complimentary…
Deciding Who’s Who in Cloud, Data and AI
Aspirations Every vendor aspires to be #1 in their marketplace – or be recognized as a leader in a particular segment. Vendors often overstate their offerings’ capabilities and characteristics to create the perception of unique differentiation over competitors. While these may be easy claims to make, they can leave customers and prospects confused as to who’s who…
Products That Sell Themselves – Why We Buy.
What makes us prefer one cola drink over another, or choose one vehicle manufacturer, particular clothing brand, or phone brand over another? While there might be one major factor, there are usually multiple factors or dimensions that help us make our choices — all of which add up to an overall satisfaction or quality score.…
Helping to Combat Fraud with AI-based Safer Payments
Buying online has become the norm for many people these days. Like many people, I’m focused on the buying experience and sometimes take for granted that my transactions will be secure and safe. But behind the calmness of the online-store interface, organizations, particularly banks, face a constant threat of fraud – both internal and external –…
Db2 – the Database with AI, for AI.
As organizations embark or progress on their journey to AI, one of the most important aspects is making sure their data is ready for AI. IBM describes this journey as a series of steps as part of the AI Ladder: Collect, Organize, Analyze, Infuse AI. IBM Db2 is primarily aligned with the Collect stage as shown…
A Beta to Help You Create a Data and AI Platform on Your Terms
Although more organizations are learning about the value of centralizing data management across hybrid multiclouds and infusing data science and AI into the infrastructure, not everyone has been able to do it. Maybe they lack the resources or capital expenditure. Or maybe they just don’t feel ready. These are the kinds of organizations we had…
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