The field of decision science focuses on making data-informed decisions. Decision science helps to analyze the impact of a decision on the business. The...
In a globally competitive world, businesses that haven’t invested in Data Science tools can have difficulty making timely decisions or applying actionable insights. Today,...
Artificial intelligence (AI), machine learning (ML), and data science are together transforming modern organizations in new ways. These highly advanced technologies—along with a long...
Integrating edge artificial intelligence (AI) is not a simple process. Early forms of artificial intelligence relied on the computer power of data centers to...
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and...
Digital twins can present a virtual replica of physical components, processes, or systems to enable improved understanding of the performance characteristics of such entities....
Semantic technology trends are expanding well beyond an interesting, more advanced search engine. Besides providing scientists with a more functional search engine, semantic technology is now being used to improve artificial intelligence and machine learning. Semantic technology uses a variety of tools and methods designed to add “meaning” to a computer’s understanding of data. When […]
Data Science vs. Decision Science: Basic Descriptions In Data Science, a variety of advanced technologies like data mining, statistics, predictive analytics, AI, and machine learning are used in conjunction to deliver solutions for business problems. In Decision Science, analyzed data is “interpreted” to arrive at business decisions that meet specific objectives. So while Data Science […]
The terms “self-service analytics” (SSA) and “machine learning” (ML) are frequently used interchangeably, but the concepts behind these terms are a world apart. In self-service analytics, specific tools are designed to aid the user in inputting data or interpreting results (output). On the other hand, a machine learning algorithm is a special software that has […]
Internet of Things, also known as IoT, is a network of interconnected computing and digital devices, objects, and machines equipped with unique identifiers. This allows for data transfer over a …
The Background of Data Science Roles It was thought a few years ago that 2018 would amount a huge demand-supply gap in the Data Science market as supply would fail to keep pace with the rising demand for expert data scientists. However, the buzz from Gartner, which said more than 40 percent of Data Science […]
Investing in leadership skills as well as data skills allows organizations can ensure that they can have decisive marketplace and intra-organizational impacts. The Chief Data Officer (CDO) role is only a few years old, and many organizations still don’t have a CDO. Data Literacy is an essential component to all of this. In a recent […]
