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Machine Learning Examples and Applications

A subfield of artificial intelligence, machine learning (ML) uses algorithms to detect patterns in data and solve complex problems. Numerous fields and industries depend on machine learning daily to improve efficiency, accuracy, and decision-making. Recently, ML technologies have been reinforced by two subfields of their own: deep learning (DL) and computer vision. Read on for real-world examples […]

Structured vs. Unstructured Data: An Overview

Structured data and unstructured data are both forms of data, but the first uses a single standardized format for storage, and the second does not. Structured data must be appropriately formatted (or reformatted) to provide a standardized data format before being stored, which is not a necessary step when storing unstructured data. The relational database […]

A Brief History of Business Intelligence

In 1865, Richard Millar Devens presented the phrase “Business Intelligence” (BI) in the “Cyclopædia of Commercial and Business Anecdotes.” He used it to describe how Sir Henry Furnese, a banker, profited from information by gathering and acting on it before his competition. More recently, in 1958, an article was written by an IBM computer scientist […]

Data Science 101

Data Science is an interdisciplinary field that allows businesses to study and analyze large volumes of data and derive meaningful information from it. It combines elements of artificial intelligence, machine learning (ML), and knowledge engineering to uncover insights from data. Data Science uses ML techniques such as supervised learning, unsupervised learning, deep learning, and reinforcement learning […]

Developing a Strategy to Democratize Data

The goal of building a strategy to democratize data is to allow all appropriate staff to access the organization’s data, regardless of their technical skills or job description. Previously, a researcher would have to submit a request to the IT department for the information they needed. For example, if a production manager wanted a mid-month […]

How to Become an Enterprise Architect

The role of enterprise architect ranked as Glassdoor’s best job in America in 2022 in terms of salary, job satisfaction, and available positions. Yet enterprise architecture is among the most routinely misunderstood professions in the corporate world, straddling the divide between the business and IT. What does an enterprise architect do every day, and what skills and […]

Seven Essential Data Management Skills

As businesses continue to promote a culture of data democratization, effective strategies for managing data migrations and ensuring secure data access are gathering steam. IDC predicts that advanced Data Management skills will be necessary for up to 50% of everyday business operations in both large enterprises and small organizations this year. Data centers are becoming increasingly important for […]

Graph Database Use Cases

One of the primary advantages of using a graph database is the ability to present the relationships that exist between datasets and files. Much of the data is connected, and graph database use cases are increasingly helping to find and explore these relationships and develop new conclusions. Additionally, graph databases are designed for quick data […]

How Generative AI Will Transform Business

Generative AI – specifically ChatGPT – has taken the world by storm. From writing about AI in a Shakespearean style to basic programming, ChatGPT promises to disrupt existing workflows and reengineer daily life. In the meantime, companies face another revolution with generative AI. They can remove all the data fed to ChatGPT, then replace it with a company’s […]