Upcoming Webinars
DATE: December 3, 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 Data models are key to gaining a clear view of the data that drives the business – from customers to products to…
DATE: December 5, 2024 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Experts make a lot of promises about what a data-literate enterprise can achieve. In January, we heard from experts about what they believed would happen in…
DATE: December 10, 2024 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar It is clear that Data Management best practices exist – and so does a useful process for improving existing Data…
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Latest Blogs by Industry Experts
Read more about author Donnchadh Casey. It is now well understood that integrating AI into an organization’s digital infrastructure will unlock real-time insights for decision-makers, streamline internal workflows by automating repetitive tasks, and enhance customer service interactions with AI-powered assistants. This technology will accelerate everything from purchases to personalized service requests. These benefits have made AI an essential component of modern digital ecosystems, accelerating growth, operational efficiency, and competitive advantage. …
Read more about author Yuval Perlov. The emergence of artificial intelligence (AI) brings data governance into sharp focus because grounding large language models (LLMs) with secure, trusted data is the only way to ensure accurate responses. So, what exactly is AI data governance? Let’s define “AI data governance” as the process of managing the data product lifecycle within AI systems. To keep it simple, we can break down AI data governance into…
Read more about author Soline Guerineau. Rigorous decarbonization goals have run up against the realities of running businesses. Companies are falling short of targets, as a 2022 study by the CDP (Climate Disclosure Project) revealed a mere 0.4% of disclosing organizations had credible climate transition plans, with 13% making progress. We’ve made progress in regulations, investments, and technologies; and learned a lot about the complexity of this Herculean effort. However, the current state…
Read more about author Rahul Rastogi. In May, OpenAI announced a partnership with Reddit to train its language models using the forum’s extensive collection of user-generated content. OpenAI’s goal of enhancing its models’ ability to respond to real-world conversations and diverse linguistic patterns seemed straightforward. But the decision quickly sparked concerns – namely, the potential inclusion of misinformation and biased content in the training data, based on the unregulated nature of Reddit’s…
Recent Articles
Gajus / Shutterstock In today’s data-driven business landscape, data quality – the availability of usable and business-ready information – remains a significant and worsening challenge for many organizations. To mitigate these effects, businesses need…
The process of predictive analytics has three main steps: defining the objectives, collecting relevant data, and developing a predictive model using sophisticated algorithms. These models are further tuned for greater accuracy before…
tadamichi / Shutterstock To say data has “integrity” means that it can be trusted and relied upon and is ultimately useful. Data integrity also conveys a sense of unity and…
Shutterstock Large organizations want to create a flexible environment to innovate and respond quickly based on new data insights. But at the same time, these businesses want some structure for…
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…