In 1963, DARPA (the Defense Advanced Research Projects Agency) presented MIT with $2 million for Project MAC. The funding included a requirement for MIT to develop technology allowing for a “computer to be used by two or more people, simultaneously.” In this case, one of those gigantic, archaic computers using reels of magnetic tape for […]
Business Intelligence and Analytics Trends in 2022
The industry giants – Microsoft, Google, IBM, Amazon, and Oracle – are still leading in the global analytics market shares. Microsoft, Amazon, and Oracle are additionally outperforming the market for all other vendors. However, it’s interesting to note that the battle among the top analytics vendors is not over “sophisticated algorithms,” but over Data Quality. […]
Data Management Platform vs. Customer Data Platform
A Data Management Platform (DMP) is a storage location for all types of data – all the way from contact lists to transactional data. The data stored in a DMP is analyzed for business insights and customer intelligence. DMPs generally collate data from various business systems, such as ecommerce sites, social sites, or a CRM. […]
A Brief History of Machine Learning
Machine learning (ML) is an important tool for the goal of leveraging technologies around artificial intelligence. Because of its learning and decision-making abilities, machine learning is often referred to as AI, though, in reality, it is a subdivision of AI. Until the late 1970s, it was a part of AI’s evolution. Then, it branched off […]
Analytics Best Practices for Transforming Data into a Business Asset
Data has three main functions that provide value to the business: To help in business operations, to help the company stay in compliance and mitigate risk, and to make informed decisions using analytics best practices. “Data can have an impact on your top line as well as your bottom line,” said Dr. Prashanth Southekal, CEO […]
Machine Learning for Organizations: Where Is It Now?
Machine learning (ML), a branch of artificial intelligence (AI), was sometimes referred to as “cognitive computing” in the past, and certain academic circles still today. Machine learning applications have been used for decades to automate complex human tasks that require analytic thinking, but recently the technology has expanded to encompass more business functions. Advanced ML […]
Overcoming Data Governance Challenges with Best Practices
Jason Dye, Director of Enterprise Data Governance at Ally, says that sometimes Data Governance feels like a thankless job. “I’m struggling up this sandy godforsaken hill and then some guy’s standing on the sidelines going, ‘I don’t know what’s so hard about Data Governance. It’s easy.’” But that may be because Dye makes it look […]
Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data
Solving business problems using big data depends upon the approach taken. For example, if an organization only knows data warehouses, then challenges will be framed to fit using a data warehouse. As Abraham Maslow, a prominent psychologist eloquently said “I suppose it is tempting, if the only tool you have is a hammer, to treat […]
A Brief History of Neural Networks
In the last few decades, neural networks have evolved from an academic curiosity into a vast “deep learning” industry. Deep learning uses neural networks, a data structure design loosely inspired by the layout of biological neurons. These neural networks are constructed in layers, and the inputs from one layer are connected to the outputs of […]
Data Fabric vs. Data Mesh
In the hyper-connected world of the cloud and the Internet of Things (IoT), every computing network device is connected to another through a complex, interconnected network. This poses a serious challenge to future Data Management, as the ultimate goal of Data Management is the sharing of business data across disparate platforms and technologies. This article […]