IBM had a pole position on the Database Management Systems (DBMS) market by developing “DL/I” in the 1960s as a means for defining and using hierarchical databases. Under the product names of DL/I and IMS (Information Management System) this dominated the database market for many years. Everybody, except for IBM followers, called the product “D-L-1,” […]
Knowledge Graph Standards in Ambient Computing
Ambient computing is a broad term that describes an environment of smart devices, data, AI decisions, and human activity that enables computer actions alongside everyday life, without the need for direct human commands or intervention. Ambient computing represents an unparalleled opportunity to enhance almost every sphere of society – from the professional to the personal. And in […]
What Every Business Leader Needs to Know About Data Modeling
The COVID-19 pandemic has meant that data-driven decisions have influenced all our lives over the last two years. But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […]
Tales of Data Modelers
Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). I agree with Larry on so many things. However, this post is not a review of Larry’s book. Read it for yourself – highly recommended. Reading it triggered […]
How Transformer-Based Machine Learning Can Power Fintech Data Processing
Machine learning (ML) has enabled a whole host of innovations and new business models in fintech, driving breakthroughs in areas such as personalized wealth management, automated fraud detection, and real-time small business accounting tools. For a long time, one of the most significant challenges of machine learning has been the amount and quality of data […]
What’s in a Name? (aka Data Modeling What?)
Click to learn more about author Thomas Frisendal. This is a summer special, on the lighter side, but addressing a simply overwhelming issue at times. What Are You Talking About? Sometimes the obvious is not that … obvious. Many people know that I am on the graph-y side of the house. But explaining a simple matter like […]
Is Machine Learning a Good Fit for Your Product?
Click to learn more about author Juras Juršėnas. Not all machine learning applications have been met with resounding success. In fact, there’s a lot of disappointment involved. From overly ambitious projects to the expectation of ever being a finished product, machine learning is marred with false hope. I think Andrey Kurenkov has done a stellar […]
A Guide to Predictive Data Analytics (Making Decisions for the Future)
Click to learn more about author Ram Tavva. Everyone wants to succeed in their business, but some might choose an unwise approach toward it, while others might mess with the wrong set of data. A lousy hit wastes a lot of time and energy predicting the future and understanding the newest trends. But those problems […]
Online Machine Learning: Into the Deep
Click to learn more about author Andrea Ferretti. Online learning is a branch of machine learning that has obtained a significant interest in recent years, thanks to its peculiarities that perfectly fit numerous kinds of tasks in today’s world. Let’s dive deeper into this topic. What Exactly Is Online Learning? In traditional machine learning, often […]
Why Enterprise Data Planning Is Crucial for Faster Outcomes
Click to learn more about author Tejasvi Addagada. Are you planning on strategically using data to improve the efficiencies of your value chains? You are not alone and every organization in this league is looking at ways to augment these customer journeys. This can happen with artificial intelligence models that can make a journey interesting for […]