Data products are proliferating in the enterprise, and the good news is that users are consuming data products at an accelerated rate, whether it’s an AI model, a BI interface, or an embedded dashboard on a website. The bad news is that too many data engineering teams still rely on manual methods to keep these […]
DAS Webinar: Data Architect vs. Data Engineer vs. Data Scientist – Making Sense of Roles in Today’s Data-Centric Organization
Download the slides here >> About the Webinar The increasing focus on data in organizations has increased demand for critical roles such as data architect, data engineer, data scientist, and more. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will discuss these data-centric […]
Dark Data: Surprising Places for Business Insights
A recent AI and Information Management report has shown that 64% of organizations manage at least 1 petabyte (PT) of data, and 41% manage at least 500 PTs. In itself, this is perfectly fine – data is the new oil, after all. The problem is, however, that anywhere between 40% and 90% of this data ocean remains dark, which […]
Thinking Like a Data Person: Strategies for Better Decision-Making
Today, data is no longer used for just operations and compliance; it is the driving force behind a company’s strategy and performance. To leverage data for improved business performance, employees must think like a “data person” – a data scientist or a decision scientist. But what exactly is a data person, and how can a […]
2024 DATAVERSITY Top 20
As we approach the end of another year, we here at DATAVERSITY have been busy analyzing our data and answering the big questions: What was the most popular content on our website and training center over the past 12 months? Which data management topics did you – our readers and students – seek out again […]
Prescriptive Analytics Use Cases
Optimizing business outcomes through advanced analytics and real-time scenario analysis represents a significant leap forward in decision-making processes. In practice, advanced analytics provides a framework for evaluating an extensive array of potential outcomes derived from different decision paths. It integrates ML models that simulate various scenarios in real time, thereby offering a dynamic decision-support system. […]
Oct 9 AArch Webinar: From Pre-Trained to Fine-Tuned – How to Get the Most Out of Vector, RAG, and Small Language Models
DATE: October 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 The landscape of AI models is rapidly evolving, with vector databases, retrieval-augmented generation (RAG), and small language models offering unprecedented flexibility and efficiency. This hands-on session will demystify the process of […]
AAA Webinar: AI for Good
Download the slides here>> About the Webinar In this webinar, we will have a candid conversation about how employees and customers are feeling about AI and automation. Additionally, we will discuss how focusing on creating better employee and customer experiences with AI will lead to better long-term business outcomes. About the Speaker Nick White CEO […]
How Collaboration Between Data Engineers and Data Scientists Unlocks Actionable Insights
In today’s rapidly evolving data landscape, organizations must make sense of the overwhelming amounts of data generated daily. The roles of data engineers and data scientists are central to this mission. They each require distinct skill sets that, when combined, can create a powerful synergy. As a seasoned data professional, I have witnessed how effective collaboration between data engineers […]
Webinar: The Future of Data-Driven Decision Making – Integrating Machine Learning and Data Governance
Download the slides here>> This webinar is sponsored by About the Webinar In today’s evolving business landscape, the synergy between data governance and machine learning is a crucial enabler of transformation and innovation. This webinar explores how data governance frameworks ensure the accuracy, security, and accessibility of data, which is critical for effective decision-making. Organizations […]