Upcoming Webinars
DATE: January 9, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar As we enter 2025, the landscape of data and analytics architecture is undergoing a profound transformation, driven by technological innovation, artificial intelligence, and the increasing complexity…
DATE: January 14, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Too often, the question “Can you help me with our data strategy?” focuses on the least valuable component: the data strategy itself. A more useful…
DATE: January 15, 2025 TIME: 8:00 AM – 9:45 AM Pacific / 11:00 AM – 12:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity…
Featured Online Training
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Latest Blogs by Industry Experts
Read more about author Eric Herzog. When a cyberattack occurs, it is crucial for a business to recover quickly. A cyberattack (such as a ransomware or malware attack) requires alerting the CEO and the entire senior leadership team to protect the company and recover from any damage. This is a critical issue for all global enterprises. In the U.S. and Europe, an organization that has been hit by a cyberattack…
Read more about author Sachin More. In today’s data-driven world, organizations manage vast amounts of data. As enterprises expand and grow business functions, there’s corresponding linear growth in operational data. This encompasses both master data and transactional data. While master data might change less frequently than transactional data, implementing data governance practices and defining data retention policy is crucial to maintaining data integrity and ensuring systems operate with accurate, necessary,…
Read more about author Mike Detwiler. As artificial intelligence (AI) adoption surges, modern organizations face increasing pressure from all angles. Stakeholders demand the implementation of AI, media headlines hype its boundless potential, and employees are expected to leverage AI-driven efficiencies. Yet, despite the excitement, many companies struggle to realize the promised value of AI investments. The reason? There is a critical lack of guidance on how to overcome tech challenges…
Read more about author Dev Nag. Artificial intelligence (AI) is revolutionizing how organizations use data, and these big changes are providing capabilities for improved decision-making and predictive insights. However, as AI becomes more integrated into business and daily life, it also introduces legal complexities that require careful oversight. Issues like intellectual property rights, bias, privacy, and liability are central concerns that need to be addressed for AI to operate responsibly.…
Recent Articles
alphaspirit.it / Shutterstock Dark data often resides in the hidden recesses of a metaphorical jungle: It comprises unstructured and unused data accumulated over years of digital transactions, interactions, and operations. Dark…
NicoElNino / Shutterstock Data modeling, the practice of diagramming business requirements, has grown significantly. According to a 2024 DATAVERSITY® survey on data management trends, 64% of organizations actively use data modeling, a 13% increase since…
The latest installment in our Q&A series with women leaders in data features Ghada Richani, the Managing Director of Data & Technology Strategy and the Project Management Office at Bank…
Sansoen Saengsakaorat / Shutterstock Technology has always advanced faster than the laws we rely on to protect ourselves from technology’s misuse. Fears of a super-intelligent artificial intelligence arising that manipulates machines and…
What is...?
A database management system (DBMS) describes a collection of multiple software services that work…
A data catalog inventories and makes critical datasets available through metadata management. This platform informs…
A Data Strategy is a reliable touchstone created by an organization for businesspeople to…
Data Management (DM) comprises a comprehensive collection of consistent and responsible practices, concepts, and…
Data Modeling describes the plans and activities around diagramming data requirements for business operations across…
Data Governance (DG) is a business program and bedrock that supports harmonized data activities across the…