Blockchain provides a functional and efficient tool for recording business transactions, contractual agreements, and private records. A blockchain can be described as an encrypted digital recording of transactions that is duplicated and distributed to computers that are part of the blockchain network. This form of communicating and sharing recorded data is extremely difficult to hack […]
Machine Learning Solutions
Machine learning solutions can be considered a subdivision of artificial intelligence, with multiple machine learning algorithms combined to create artificial intelligence. Some of these algorithms can, however, be used to accomplish specific, limited tasks, ranging from answering phones to recognizing images. Machine learning (ML) solutions are normally used in situations requiring adaptability, a limited variety of […]
The Importance of a Data Governance Roadmap
A Data Governance (DG) roadmap provides a detailed plan or strategy, normally with a list of tasks that must be accomplished for improving or “maturing” a DG program. It should also list the people who are responsible for completing specific tasks. A Data Governance roadmap often includes incorporating Data Governance best practices and is typically based on […]
Data Modeling 101
Data Modeling creates a visual representation of a data system as a whole or as parts of it. The goal is to communicate the kinds of data being used and saved within the system. A data model should also show the data’s relationships, how the data can be organized, and the formats used. A data model can […]
Writing a Data Management Plan
A Data Management plan (DMP) is normally a one- or two-page summary, outlining how data will be handled during a research project, and after it has been completed. The goal of a Data Management plan is to consider the many aspects of Data Management (such as data preservation, metadata generation, and analysis) before the project begins. It […]
Machine Learning Algorithms
Machine learning algorithms establish rules and processes that are used while processing a specific problem. These algorithms analyze data to predict the probable results of certain behaviors. As new data is received, these algorithms learn, optimizing and improving their responses using feedback from previous performances. Combinations of machine learning algorithms can produce artificial intelligence (AI). Machine […]
Primary Data Modeling Techniques
Data Modeling techniques are used to create a map or blueprint showing how an organization gathers and processes data. Data models help to define the logical structure for an organization’s data. Data Modeling techniques are necessary for businesses wanting to maximize and streamline their ability to analyze and understand data. While developing the model, the […]
The Business Glossary and Automated Metadata Tools
Automated metadata tools can be used to develop and build business glossaries, graphs, and data catalogs. By eliminating the human factor, metadata errors can be minimized and tasks accomplished much more quickly. Business glossaries act as the foundation for a shared and common language. Automated metadata tools can cut down on the amount of time […]
Data Quality Management 101
Data Quality Management is necessary for dealing with the real challenge of low-quality data. Data Quality Management can stop the waste of time and energy required to deal with inaccurate data by manually reprocessing it. Low-quality data can hide problems in operations and make regulatory compliance a challenge. Good Data Quality Management is essential for […]
Integrating Edge AI
Integrating edge artificial intelligence (AI) is not a simple process. Early forms of artificial intelligence relied on the computer power of data centers to perform their processor-demanding tasks. After some time, AI shifted into software, using predictive algorithms that changed how these systems support businesses. AI has now moved to the outer edges of networks. […]