As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data […]
Machine Learning Engineer vs. Data Scientist
After years of hype and promise, artificial intelligence (AI) has finally arrived. Organizations of all types and sizes are racing to integrate AI into their business processes to make their operations more powerful, more efficient, and more profitable. A data scientist and machine learning engineer are two of the most exciting and cutting-edge professions in technology. While both […]
Semantic Technology Trends in 2024
The trends of semantic technology for 2024 will be based on a range of technological improvements. The introduction of ChatGPT has produced a variety of primary and secondary effects on semantic technology and the industries using it. ChatGPT significantly improves AI’s use and understanding of language. Semantic technology uses “formal semantics” to provide meaning to […]
Supercharging Data Management in the Climate-Risk Sector
The insurance industry and the broader risk management sector have long contended with Data Management issues. Updating and integrating legacy systems while ensuring quality across the board has proved difficult for most people in these fields. For those working in the climate solutions space, Data Management constitutes a challenge because of the diverse and dynamic […]
What Does a Data Scientist Do?
The multifaceted role of a data scientist goes far beyond crunching numbers and analyzing datasets. So, what does a data scientist do? In today’s data-driven world, these professionals are required to possess a diverse range of skills and knowledge to truly excel in their field. While technical expertise in statistics, programming languages, and machine learning […]
AI Personalization: Challenges and Practical Strategies for Startups
Personalization is an effective way to drive revenue growth, increase customer engagement, and enhance customer satisfaction. According to a survey by Accenture, 91% of consumers are more likely to shop with brands that recognize, remember, and provide relevant offers and recommendations. In recent years, businesses have recognized the value of personalization in improving customer experience by leveraging […]
Managing a Freelance Data Science Team
In this dynamic era, the freelance economy is experiencing an unprecedented boom, significantly reshaping the work landscape. This shift is leading to the increasing prominence of freelance management, which includes sourcing, coordinating, and retaining independent talent in a strategic manner. This article particularly focuses on how to manage a freelance data science team, a trend […]
Save Time and Streamline Processes with Embedded BI
Ask any enterprise employee what they need most, and they are likely to say “time.” With limited resources and budgets, your team members are being asked to do more with less and to get it all done on time and on budget. If you take the time to ask a follow-up question, you will likely […]
Lessons Learned from a Woman in Data Science
While studies show that women currently hold about 28% of technology jobs, the total number of women in tech positions has actually decreased over the last few years. Gender disparity clearly still exists, and it is even more prominent in the field of Data Science. To make way for more women in Data Science, it’s important for me to share […]
What Is Metaflow? Quick Tutorial and Overview
As data science continues to evolve, new tools and technologies are being developed to help individuals and organizations streamline their workflows, improve efficiency, and drive better results. One of the most powerful and innovative tools in this space is Metaflow, a Python library that makes it easy to build and manage data science workflows. In […]