The job responsibilities of a citizen data scientist include dealing with new data, using automated tools to process big data, and creating additional models to gain additional insights. Their primary job is not to make predictions directly from big data, or develop prescriptive analytics, but to build models and use tools that accomplish those goals. […]
From Neural Networks to Transformers: The Evolution of Machine Learning
Foundation models like large language models (LLMs) are a vast and evolving subject, but how did we get here? To get to LLMs, there are several layers we need to peel back starting with the overarching topic of AI and machine learning. Machine learning is within AI and it’s simply the process of teaching computers to learn from and make decisions based on data…
2024 Predictions in AI and Natural Language Processing (NLP)
While we were right at the dawn of generative AI this time last year, we didn’t predict quite the profound impact and seismic shift it would create around the world with the introduction of ChatGPT. In our set of 2023 predictions, we did note the potential effect of LLMs, with research showing their ability to self-improve, […]
Three Myths About Generative AI in the Workplace – and How You Can Bust Them
In the past year or so, generative AI has received more media attention than any other type of technology. Up until this point, data science has been at the center of these innovation stories, and rightfully so: None of the next-generation technology tools can work without a strong data science program. As soon as generative […]
Four Perspectives on the Art of Data Analytics
As data science professionals, we are often viewed as people who draw conclusions based only on data and minimize other factors. This perception usually becomes contentious when the insights and evidence from the data are inconsistent with somebody else’s “hypothesis.” Or we are confused and maybe frustrated when “qualitative” analysis trumps quantitative analysis. The next time […]
Why Data Intelligence Is Imperative to Achieve a Clean Energy Future
We should be further along with the consumer adoption of renewable energy. Solar energy has long since emerged as the lowest cost per kWh power source, making it a key puzzle piece in our transition to clean energy. Added to that, the Inflation Reduction Act of 2022 was passed to significantly incentivize private investment into clean energy […]
2023 DATAVERSITY Top 20
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 […]