I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Participating in such events has multiple advantages, including becoming familiar with trending topics in the data management […]
Enhancing Cloud Security in Response to Growing Digital Threats
Organizations increasingly rely on cloud services to improve operations and promote innovation. This spike in use has increased cyberattacks targeting cloud settings, emphasizing the necessity for strong cloud security. Recent incidents demonstrate the issue’s severity. In April, AT&T announced that a data breach impacted 51 million customers after a hacking forum exposed their personal information. Home Depot […]
Mind the Gap: Analytics Architecture Stuck in the 1990s
Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored the data chasm. This month, we’ll look at analytics architecture. From day one, data warehouses and their offspring – data marts, operational […]
The Role of Computational Storage in Sustainable Data Centers
Artificial intelligence and data analytics are at the forefront of the digital age, bringing with them a rise in data processing and a surge in energy consumption. Data centers worldwide are modifying their infrastructure to meet the demands of the surge. The pressure to balance efficiency and sustainability is dire, pushing data centers to rethink […]
The Unbreakable Bond: Why Identity and Data Security Are Inseparable
Imagine this scenario: You lock up your valuables in a safe, but the key is hanging right by the door for anyone to use. That is the state of data security without robust identity security. If you don’t control who has access to the keys to the kingdom, you can’t be surprised that anyone does. To truly […]
Revolutionizing Healthcare Through Responsible AI Integration
In late 2023, significant attention was given to building artificial intelligence (AI) algorithms to predict post-surgery complications, surgical risk models, and recovery pathways for patients with surgical needs. This naturally elevated the appropriate debate of whether using AI in this manner would result in hospitals and providers prioritizing revenue from automation over excellence in patient […]
The Cool Kids Corner: Lifelong Learning
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. (Last month, we discussed data leadership.) This month, we’re talking about lifelong learning. In the Data Management space, what drives us to learn […]
Key Considerations for C-Suite Leaders Involved in Digital Transformation Initiatives
With spending on digital transformation initiatives worldwide projected to hit $3.9 trillion by 2027, the pressure is on organizations – and specifically the C-suite – to ensure that not only are they best positioned to tackle the digital challenges of today but that they can quickly adapt to those of tomorrow as well. C-suite leaders find themselves […]
12 Key AI Patterns for Improving Data Quality (DQ)
AI is the simulation of human intelligence in machines that are programmed to think, learn, and make decisions. A typical AI system has five key building blocks [1]. 1. Data: Data is number, characters, images, audio, video, symbols, or any digital repository on which operations can be performed by a computer. 2. Algorithm: An algorithm […]
Why Your Business Needs Data Modeling and Business Architecture Integration
In the contemporary business environment, the integration of data modeling and business structure is not only advantageous but crucial. This dynamic pair of documents serves as the foundation for strategic decision-making, providing organizations with a distinct pathway toward success. Data modeling provides organization to your facts, whereas business architecture defines the operational mechanisms of your […]