As businesses plan for data democratization, it is essential to include a strategy to ensure that business users will accept augmented analytics solutions and adapt to the new citizen data scientist role. With business users on board, the enterprise can capitalize on its strategy and optimize return on investment (ROI) and total cost of ownership (TCO) […]
2022 DATAVERSITY Top 20
Every December, we here at DATAVERSITY set aside time to dig through our data and reflect on the hits and misses of the year. We want to know: Which content did you, our data-loving readers, consume and enjoy the most? Which Data Management topics and experts helped you learn valuable new skills, succeed at your […]
What to Look for When Hiring a Data Analyst
Data analysts are specialists in statistics, mathematics, and computer science, enabling them to serve in a variety of departments, including operations analysis, financial analysis, and marketing analysis. A data analyst interprets data to influence business strategy, permitting firms to make data-driven pricing, scheduling, and other operational choices. Why Hire a Data Analyst? As declining margins, increased commoditization, […]
Why Leveraging Unstructured Data and AI Will Be Key to Customer Success in 2023
Analysts like IDC and Deloitte estimate that up to 80% of the world’s data is unstructured text data, which makes getting valuable insights out of this type of data a huge challenge. Worse, customers can’t easily find the right answers to address their product and service-related questions that are hidden in large amounts of support documents. As a result, employees […]
Webinar: Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health of your data is more important than ever. Data observability is an emerging discipline within data quality […]
Slides: Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve Data Quality from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health […]
Create a Thorough Plan and Training Strategy for Citizen Data Scientists
As a business owner, executive, or manager, you are likely aware of the term “citizen data scientists.” Perhaps you have even implemented this type of initiative in your organization. While business journals and industry and technology publications discuss the advantages of the citizen data scientist approach, many businesses fail to get the most out of […]
What Makes a Great Data Scientist in 2023?
A great data scientist combines expert knowledge of various interrelated academic disciplines to help global enterprises make agile decisions for improved business performance. Data scientists use statistics, mathematics, data mining, and computer science to analyze data sets for observable trends and patterns. They are also experts in data collection and storage methods. The Bureau of Labor Statistics had predicted […]
Data Science and Privacy: Defending Sensitive Data in the Age of Analytics
When big data began getting corporate attention in the late 2000s, the idea of data privacy was considered lavish and exotic. The public was less concerned about securing their data assets and was only fascinated by the fact that the interconnected digital world would change their lives forever. As we soon step into 2023, the […]
Interactive Bioactivity Prediction with Multitask Neural Networks
A CHEMBL-OG post, Multi-task neural network on ChEMBL with PyTorch 1.0 and RDKit, by Eloy, from way back in 2019 showed how to use data from ChEMBL to train a multitask neural network for bioactivity prediction – specifically to predict targets where a given molecule might be bioactive. Eloy has links to more info in his […]