Advertisement

Fundamentals of Robotic Process Automation and Data Management

Data Management software is essential to providing organizations with critical insights about their customer’s behavior. Robotic process automation (RPA) is a process in which software programs perform repetitive Data Management tasks, such as data validation, email responses, normalization, and metadata organization. Put another way, RPA automates the mundane. It does this by observing and imitating […]

Case Study: Feeding America Takes on Project to Standardize Data and Improve Data Quality

Feeding America is a domestic-hunger relief charity with a nationwide network of close to 200 member food banks that work together to provide food to more than 46 million people through 60,000 food pantries and meal programs. It secures donations from national food and grocery manufacturers, retailers, shippers, packers, growers, government agencies and other organizations. […]

A Brief History of Data Literacy

Data Literacy is essentially the ability to read and understand data, much as one might read and understand a magazine article. The primary advantage of having the bulk of the staff made up of people who are data literate is that it reduces the need for data scientists. People on staff can handle many of […]

Blockchain Use Cases

Blockchain, which is akin to a distributed and decentralized accounts ledger, can record and verify high volumes of digital transactions, irrespective of location. So, blockchain has the capacity to contribute to many industry sectors, besides finance. As a secure technology platform, blockchain’s main benefits are accuracy, protection against fraud, and easy sharing of information. The […]

Artificial Neural Networks: An Overview

Neural networks and deep learning currently provide some of the most reliable image recognition, speech recognition, and natural language processing solutions available. However, it wasn’t always that way. One of the earliest and simplest teaching philosophies for artificial intelligence was marginally successful. It suggested that loading the maximum amount of information into a powerful computer […]

Challenges for Data Governance and Data Quality in a Machine Learning Ecosystem

The high availability of data, enhanced computing power and advanced Data Science technologies together make a lethal combination for data-driven outcomes. With the open data economy just around the corner, well-tuned Data Governance capabilities will be the goal of most businesses. Current Data Management practices are focused on risk free data sharing and regulatory compliance. […]