The data science landscape has changed considerably in the last few months. The rise of AI tools and user-friendly data platforms has democratized access to data-driven insights, giving even non-experts access to an essential toolkit that enhances efficiency and decision-making. As data science becomes more integral to business operations, employers expect data literacy from more […]
How to Build a High-Performance Analytics Team
When most people think of analytics, they tend to picture a rigidly left-brained data scientist more at home with computer programming than creativity. But analytics leader and author John K. Thompson challenges such a notion. During his keynote presentation at DATAVERSITY’s Enterprise Analytics Online event, he proposed instead that the members of an analytics team can be […]
DAS Webinar: Data Architect vs. Data Engineer vs. Data Scientist — Making Sense of Roles in Today’s Data-Centric Organization
Download the slides here>> This webinar is sponsored by: About the Webinar The increasing focus on data in organizations has increased demand for critical roles such as data architect, data engineer, and data scientist. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will […]
How to Ask Great Questions with a Data Science Lens
When it comes to solving business problems, data scientists understand how crucial it is to formulate the right business question. While it’s easy to get sidetracked by intriguing data trails, the most effective questions are those that align closely with organizational priorities, provide actionable insights, and guide strategic decisions. Here are the key principles for crafting high-impact […]
AAA Webinar: Augmented Analytics Explained
Download the slides here>> About the Webinar In this webinar, we will define what augmented analytics means and discover how AI is transforming data analysis and visualization. We will explore how AI can accelerate data democratization within organizations and the roles data professionals and business users will need to fill. About the Speaker Nick White […]
Data Concierge: Driving Business Intelligence Collaboration
Discerning businesses are ensuring each area of their organizations has access to performance metrics. Armed with data, their teams can accelerate decision-making, respond to client and marketplace demands, and mitigate risks. The issue is many organizations have segregated data environments. Each department often has its own data management platform that may not integrate with other […]
Women in Data: Meet Data Science Leader Sarah Denman
The latest installment in our Q&A series with women leaders in data features Sarah Denman, vice president of data science at 84.51°. (Read our previous Q&A here.) Sarah Denman knows all about managing large groups of people. She leads a team of more than 50 data scientists at 84.51°, a retail data science company that supports […]
What Is PMML and Why Is It Important?
You may not be an analytics expert and you may find terms like PMML integration somewhat daunting. But, in reality, the concept is not complex, and the value is outstanding. So, what is PMML integration? PMML stands for “predictive model markup language.” It is an interchange format that provides a method by which analytical applications and […]
Enhancing the Reliability of Predictive Analytics Models
Predictive analytics is a branch of analytics that identifies the likelihood of future outcomes based on historical data. The goal is to provide the best assessment of what will happen in the future. Basically, predictive analytics answers the question “What will happen?” The value of predictive analytics lies in enabling business enterprises to proactively anticipate […]
AAA Webinar: Training Pre-Trained AI Models
Download the slides here>> About the Webinar In this webinar, we will provide best practices using pre-trained AI models, such as natural language processing, computer vision, or speech recognition. We will cover how to select and fine-tune the appropriate models for different scenarios and applications, how to evaluate and improve their performance and accuracy, and […]