Jay Limburn, Author at IBM Blog

Director of Offering Management, Data and AI

Jay Limburn MBCS CITP, is an IBM Distinguished Engineer and Director of Product Management at IBM. Working within the IBM Analytics organization, Jay is responsible for driving the business and technical strategy for IBM’s data governance, cataloging and metadata capabilities with a focus on enabling IBM’s clients to turbocharge their use of data science, AI and self service analytics. Jay is an expert in the fields of Data Governance, Data Management, Data Science, Data Quality and MDM and has worked with some of IBM’s largest clients to define and develop industry leading and innovative solutions. As an IBM Master Inventor Jay holds 17 patents in areas such as machine learning, mobile device interaction and application generation.

Analytics January 17, 2023

Four starting points to transform your organization into a data-driven enterprise

4 min read - Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and…

Cloud July 6, 2022

Don’t let your data pipeline slow to a trickle of low-quality data

3 min read - Businesses of all sizes, in all industries are facing a data quality problem. 73% of business executives are unhappy with data quality and 61% of organizations are unable to harness data to create a sustained competitive advantage1. With the average…

Cloud June 23, 2022

IBM named a leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2022

3 min read - The opportunity to work with many clients on their data fabric journey continues to drive and inspire us to achieve even greater heights with our solutions. We believe the findings of the recent Forrester Data Fabric Wave for 2022 is…

Analytics May 10, 2022

Four use cases defining the new wave of data management

5 min read - A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming…

Business transformation November 15, 2021

Data Fabric and the search for the single source of truth

3 min read - About once a year, usually around this time and for unknown reasons, I find myself watching the movie National Treasure. I guess there’s just something about watching Nicolas Cage connecting the dots to find hidden treasure that I can’t pass…

Artificial intelligence May 7, 2021

Five ways to protect sensitive data in your organization

3 min read - Organizations collect a tremendous amount of data from a variety of sources, and any of these data sources could potentially contain sensitive data. Data is often relocated for warehousing, reporting, analytics, storage, testing, and application use. Data or AI models…

Cloud September 23, 2020

Egeria open source standard enhances hybrid cloud metadata and data governance initiatives

3 min read - Standardization has changed the way we work with technology. Whether TCP/IP, USB or XML, open standards have given us seemingly endless ways to use technology more effectively. When you’ve got it, standardization is a wonderful thing; when you don’t, things…

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