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 […]
The Impact of Generative AI on Data Science
As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting insights from big data, look like? How will this kind of analytical work change? Will there be an increased or decreased need for data scientists? How should businesses adapt their information […]
The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights
Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI) […]
The Role of Quantum Computing in Data Science
Quantum computing is on the cusp of turning the data science world upside down, offering a level of processing power we’ve only dreamed of until now. This new frontier has an incredible potential to reshape the way we approach data analysis, predictive modeling, and solving the kind of complex problems that have always been a tough […]
How to Become a Data Engineer
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality, […]
Effective Code Documentation for Data Science Projects
Code documentation is a detailed explanation of how the code works. It is a comprehensive guide that helps developers understand and use the code effectively. It is like a manual for your source code, providing information on the purpose of the code, how it is structured, and how it can be modified. Many developers might […]
Data Science for All: How Open Source Levels the Playing Field in a Talent-Starved Market
Despite today’s data scientist talent shortage, organizations are not holding back from investing in Data Science initiatives. A recent survey produced by my company in collaboration with TechTarget’s Enterprise Strategy Group shows that most organizations understand how to overcome today’s talent shortage. 87% of respondents said that building Data Science skills across domains and lines of business departments is a […]
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 […]