Upcoming Webinars
DATE: September 12, 2024 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar An AI language model is a type of artificial intelligence (AI) that is trained on a massive amount of text data. This data can include books,…
DATE: September 17, 2024 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by About the Webinar Register now to join this insightful session on operationalizing data governance, featuring perspectives from both data governance and data engineering teams. Latravia…
DATE: September 18, 2024 TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 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 Dave Russell. In recent years, the frequency and sophistication of cyberattacks have surged, presenting a formidable challenge to organizations worldwide. The proliferation of interconnected devices, growing dependency on cloud services, and the shift to remote work have introduced new vulnerabilities, creating more opportunities for cybercriminals to exploit. My company’s 2024 Data Protection Trends report revealed that 75% of organizations experience cyberattacks, with most being targeted multiple times. In light…
Read more about author Harsh Daiya. In the rapidly changing world of financial technology (fintech), fraud is a developing area seething with vigor. Digital banking and online financial services are booming every day, bringing with them new techniques for thieves to ply their trade – not ones that can be easily dismissed. Fintech firms must now relentlessly deploy data and artificial intelligence (AI) to combat these threats. This blog post discusses…
Read more about author Mario Vargas Valles. Data is the fuel that keeps the engine of any organization running efficiently. Its growing importance is becoming a frequent topic of conversation in boardrooms and strategy meetings. Companies increasingly know the need to protect their sensitive information and continue investing heavily in cybersecurity measures. However, this approach has a critical oversight: The assumption that investing in cybersecurity alone is sufficient to safeguard…
Read more about author Katrina Ingram. There’s a movement underway to capture an increasing amount of data about employees – from facial recognition or fingerprint systems used for tracking time and attendance, to systems that monitor your every keystroke. All of these invasive data collection technologies raise this question: What should be the limits of biometric data collection in the workplace? Biometric data is a particularly sensitive type of data…
Recent Articles
Many people see the dictionary as a thing of unquestionable authority, with words and meanings that rarely change. Likewise, in corporate culture, business leaders often mistake the business glossary – a collection…
13_Phunkod / Shutterstock Metadata is like the secret sauce of the internet. You type a word or phrase in a search engine, press enter, and the information you’re looking for…
SuPatMaN / Shutterstock Traditional AI, also known as “classical AI,” is known for being rule-based and dependent on stringent programming for its intended output. These techniques revolve around the manipulation…
Timepopo / Shuttestock Data-driven organizations are in a race to collect the information that modern analytics techniques rely on to generate insights and guide business decisions. The ever-growing flow of…
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…