Advertisement

Advances in Machine Learning

There is little doubt machine learning has become one of the most powerful technologies in the last decade. The emphasis on “learning” in machine learning allows computers to make better and better decisions, based on previous experiences. Advances in this technology have allowed for recent breakthroughs that promote faster and more efficient business intelligence, using […]

A Brief History of Data Security

Data security describes the protection of digital data from a cyberattack or a data breach. A data breach is the unauthorized opening of data, typically to read or copy the information. Stolen data may contain confidential information, such as customer data, credit card numbers, or trade secrets. A cyberattack is much more aggressive. It is […]

Blockchain and Data Security Intersections

Blockchain represents a list of records, referred to as “blocks,” which are linked by way of cryptography. Each individual block holds a cryptographic hash from the previous block, as well as a timestamp and transaction data. It seems an ideal solution for organizations wanting to store huge amount of data, securely. Blockchain was created in […]

A Brief History of Data Containers

Data containers have become crucial for the efficient transport of data to a public cloud and back to a private platform. Containers are software packages containing everything needed for the software to run. This includes libraries, system tools, and settings, as well as an executable program. Additionally, containers offer another layer of security because the […]

Understanding Chatbots

Click to learn more about author Keith D. Foote. A new tool for communicating with customers and potential customers has recently become available. It is called a chatbot, and it simplifies interactions between computers and humans. Chatbots provide a novel and exciting way for businesses to deal with the immediate needs of potential customers. Chatbots […]

A Brief History of Data Lakes

Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the […]