Author Archives: astorinoblogwriters

I am excited to announce a three-part series of publications designed to simplify customers’ AI journeys with the IBM watsonx platform. Authored by a team of experts from around the world, this series of publications focuses on the core components of watsonx, providing in-depth insights, case studies, and best practices. These publications are perfectly timed,Continue reading “Simplifying Your AI Journey – An IBM Redbooks Trilogy”

For a lot of people, the term ‘artificial intelligence’ or AI still conjures up images of systems – or robots – intent on taking over the world. I have always maintained that AI is there to augment human knowledge, understanding, and decision making.  That said, there have been times when I have longed for anContinue reading “Agentic Intelligence – One Step Closer to Artificial General Intelligence “

Simplicity can be a loaded term.  Numerous sources define simplicity as follows: When thinking about simplicity I translate this into: Creating products that are easy to use, understand, and remember (intuitive), without sacrificing functionality or value. Simplicity, if done right, can help attract and retain customers, reduce costs and errors, and improve a product’s performance and quality.Continue reading “Simplicity helps drive your bottom line”

To harness data for insights and business growth—and ultimately create a data-driven culture—organizations need a holistic approach to data architecture and a strategy that’s efficient and doesn’t involve manually patching together many solutions. As a result, many organizations are adopting a data fabric approach while implementing a modern day data architecture and storage solutions such as a lakehouse. AContinue reading “The value of a Data Fabric for modern Lakehouses”

Defining Business Intelligence In essence, Business Intelligence (BI) tools are software that ingests business data and presents it in user-friendly views, such as reports, dashboards, charts, and graphs. BI tools enable business users to access different types of data: historical and current, third-party and in-house, as well as semi-structured data and unstructured data such asContinue reading “Powering your Business Intelligence with a Lakehouse”

Governance has far-reaching implications for every organization and their business processes. When it comes to software, every asset created, used, tested, deployed, and managed is subject to governance across many personas (enterprise user roles). A lakehouse, which combines data and technologies from both enterprise data warehouses and data lakes, drives the need for a moreContinue reading “Lakehouse Governance”

The fastest way to accelerate growth in your business is to ensure that clients LOVE your products, service and solutions. If a company is on a mission to being a world class software company, non-stop innovation remains vital to its success and must be embedded and pervasive across all it does. After many years of leadingContinue reading “Continuous Innovation: the Key to Success”

A combination of on-premises and cloud-native warehouses and custom data lakes is common for enterprise architecture today. Juggling costs, siloed data, and data governance are constant challenges.  A Lakehouse is an emerging architecture that offers the low cost and flexibility of a data lake with the performance and structure of a data warehouse. Most lakehouseContinue reading “The Lakehouse Effect – A New Book.”

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”