Author Archives: astorinoblogwriters

At IBM THINK in May, IBM watsonx was previewed to much fanfare. I was present and witnessed firsthand the buzz and excitement from our customers as they learned about our new AI and data platform. IBM watsonx is a new AI and data platform that empowers enterprises to scale and accelerate the impact of AI across the business by leveragingContinue reading “IBM watsonx – Scaling and Accelerating the Impact of AI with Trusted Data”

On June 7, 1983 a product was born that would revolutionize how organizations would store, manage, process and query their data.  Over the past 40 years Db2 has been on an exciting and transformational journey. In 1969, retired IBM Fellow Edgar F. Codd published his famous paper “A Relational Model of Data for Large SharedContinue reading “Db2 – 30 and 40 Years Strong”

Leaders of enterprises creating AI services are being challenged by an emerging problem of how to effectively govern the creation, deployment and management of these services, throughout the AI lifecycle. These enterprise officials want to understand and gain control over their processes to meet internal policies, external regulations or both. This is where AI governanceContinue reading “AI Governance in a Hybrid Multicloud World”

“Open the pod bay doors, HAL.” “I’m sorry, Dave. I’m afraid I can’t do that.” Those are two classic lines from the 1968 Stanley Kubrik movie “2001: A space Odyssey”.  Over the years, there have been many movies about Artificial Intelligence (AI) that have attempted to introduce us to AI, yet sew fear, uncertainty, and doubtContinue reading “Trusting the Artificial Intelligence within your Business”

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 aContinue reading “Accelerate your Data Fabric Journey with Express and Quickstart Offerings”

“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 asContinue reading “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” .”

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 dataContinue reading “A New Book: “Data Fabric – An Intelligent Data Architecture for AI””

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)Continue reading “Announcing IBM Cloud Pak for Data 4.5”

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 complimentaryContinue reading “Artificial Intelligence – Evolution and Revolution”

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 whoContinue reading “Deciding Who’s Who in Cloud, Data and AI”