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 […]
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 […]
How to Democratize Data Science
Efforts to democratize Data Science can be described as creating an environment that allows people with little expertise to perform Data Science research. This approach can be especially useful for businesses desperate to access the skills of a data scientist, but unable to hire one. A variety of user-friendly analytics tools have become available to support staff […]
5 Traps to Avoid in AI Transformation
Running out of budget. Economic calamity. Global pandemic. The risks to our AI initiatives are, literally, all around us. Some of them we cannot control, but some we can. In this piece, we’ll review and assess some of the most common mistakes practitioners make that lead to suboptimal or significantly delayed transformation processes. It’s worth […]
Data Science Metrics: Purpose and Uses
When one thinks of “metrics” in the context of Data Science, the term might denote raw numbers as in descriptive metrics, qualitative labels as in marketing analytics, or comparative labels as in website analytics. Metrics come in many different forms and structures, but the primary objective of Data Science metrics is to measure and report […]
Analytics Solutions: Applications and Use Cases
Data and analytics are particularly critical to today’s businesses because they improve strategic decision-making. Analytics solutions and use cases provide customers with added value in health care, retail, higher education, manufacturing, and other industries that capture a lot of valuable data. By harnessing different types of analytics available, organizations across varying industries can understand how products are […]
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 […]