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 […]
Automation and AI: Achieving Success Within IaaS
Within the Infrastructure as a Service (IaaS) industry, the adoption of advanced automation technology into data center operations marks a key shift in the technological transformation of IaaS. For data centers aiming to maximize efficiency and minimize human error, implementing advanced automation is a step toward achieving incomparable responsiveness and scalability. In this constantly evolving […]
Unlock the Power of Structured Data Through Conversational AI
Data is often heralded as “the new oil” because of its ability to be a competitive advantage. But how can organizations grapple with the deluge of data being generated at breakneck speeds, much less turn it all into a competitive advantage? One solution lies in enabling conversational interactions with structured data. Imagine leveraging AI tools, similar […]
Data Logistics Mandates: Devising a Plan to Ensure Long-Term Data Access
Microsoft 365 has become the nucleus for many organizations for centralized communication and collaboration, especially large organizations with more than 1,000 full-time employees. One million companies globally use 365 and create 1.6 billion documents each day on the platform and in the next two years, that is expected to grow by 4.4 times, according to a […]
Securing Data in Transit for Analytics Operations
Most enterprises today store and process vast amounts of data from various sources within a centralized repository known as a data warehouse or data lake, where they can analyze it with advanced analytics tools to generate critical business insights. Modern data warehouse platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, and IBM Db2 are built with […]