This article will cover the artificial intelligence (AI) and machine learning (ML) trends forecasted for the business landscape in 2022, but readers need to keep in mind that businesses are still contending with the pandemic, as well as labor shortages, economic crisis, and many other problematic factors. While some businesses worldwide have certainly come out […]
Fundamentals of Self-Service Machine Learning
The recent organizational push for self-service Business Intelligence has helped the next challenge for business users become an increasing need. How to tackle the issue of having Machine Learning (ML) models embedded in all major analytics platforms? On the one hand, embedded models offer greater freedom and control over data analysis; on the other hand, […]
2021 DATAVERSITY Top 20
As 2021 draws to a close, we here at DATAVERSITY HQ want to take some time to reflect on the highlights (and lowlights) of this year. What kinds of content made you jump for joy? Which Data Management topics most helped data people succeed in and advance their careers? With in-person events on hold for […]
Advances in Data Architecture
The continuous growth of data has led to large corporations investing heavily in technologies around large data volumes, allowing them to gain useful business intelligence that was unavailable to their smaller competitors. The evolution of public clouds has made big data technologies accessible to small businesses and startups. By using new advances in Data Architecture, […]
Impact of Data Quality on Big Data Management
As the available industry literature suggests, Data Quality (DQ) is seriously hindering the success of many big data projects. However, it is apparent that without an organized movement in favor of Data Quality for big data, nothing will actually happen to change the current scenario. In an interview with the CEO of Informatica, Anil Chakravarthy, […]
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 […]
The Future of Data Engineering
A Data Engineering Guide reveals that while people often rely on the work of data engineers — depending on Siri for quick solutions or being enchanted by custom recommendations or promos — they often do not realize that these advanced tools can provide accurate results only because of the hard work put in by data […]
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 […]