Awareness provides the power to adapt for the better. As digital becomes ever more immersive, there is a hidden cost of technology directly impacting the environment around us. The energy demands of modern-day data storage are incredibly vast. The question is: How can we address the consequences of this? Behind everything we do is data, […]
The Ideal Data Fabric Architecture for Business Transformation
Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. Many enterprises are already extracting business-relevant intelligence by putting their data to work through an efficient data fabric architecture. This article gives an expert outlook on the key ingredients that go into building […]
AI Ethics in Action: Making the Black Box Transparent
In my third article about the ethics of artificial intelligence (AI), I look at operationalizing AI ethics. Human intelligence remains a key factor – to keep a watchful eye on potential biases. Amazon caused a stir in late 2018 with media reports that it had abandoned an AI-powered recruitment tool because it was biased against women. Conceived as […]
How Today’s Digital-Native Businesses Are Securing the Open Data Lakehouse
Today, we’re seeing more companies embrace cloud-based technologies to deliver superior customer experiences. An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […]
What Kinds of Data Languages Will We Need in the Future?
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,” […]
Synthetic Data: 4 Use Cases in Modern Enterprises
Synthetic data has emerged as a technological solution for organizations struggling with data access and privacy compliance. As a privacy-enhancing technology, it has grown in popularity over the past years, with new predictions forecasting that by 2024, 60% of data used for AI and data analytics will be synthetic. But what is the reality of synthetic […]
Inter-Blockchain Communication: The Key to Blockchain Mass Adoption
Blockchain is expected to enable the world’s largest enterprises, organizations, and nations, as well as the average person to seamlessly trade and transact anytime, anywhere. But a barrier to the mass adoption of this revolutionary technology has always been that blockchains are decentralized and standalone. Each chain is independent and has a different set of codes and […]
How Digital Twins Can Optimize Supply Chain Planning and Efficiency
From the ongoing backlog at Southern California’s ports to the national shortages totaling more than 80,000 truck drivers, the COVID-19 pandemic has created myriad supply-chain challenges. With all of the changes and increased variables influencing the supply chain today, companies need a stronger understanding of various scenarios, and how those scenarios can impact a shipment at any […]
Cloud Data Security: The Cost of Doing Nothing
The world has changed dramatically over the past couple of years – especially in the areas of business and technology. The COVID pandemic accelerated digital transformation and forced a shift to a remote or hybrid business model, leading to a significant spike in the adoption of public cloud services. Gartner estimates that public cloud services spending will increase […]
Building Analytics for External Users Is a Whole Different Animal
Analytics aren’t just for internal stakeholders anymore. If you’re building an analytics application for customers, then you’re probably wondering: What’s the right database backend? Your natural instinct might be to use what you know, like PostgreSQL or MySQL or even extend a data warehouse beyond its core BI dashboards and reports. But analytics for external […]