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Fundamentals of Data Virtualization

Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems […]

KNIME Unveils Latest Release of Its Open-Source Analytics Platform

According to a new press release, KNIME, a software company dedicated to user-friendly data handling, has unveiled KNIME Analytics Platform 5.2, the latest iteration of its open-source platform. The release boasts substantial improvements to the user interface, driven by community feedback, making it more accessible for both novices and experienced users. The KNIME AI Assistant […]

Kinetica Launches Native Large Language Model

According to a new press release, Kinetica, a leader in real-time analytics, has unveiled a native large language model (LLM) integrated with its innovative architecture, enabling users to perform real-time, natural language-based data analysis without the need for external API calls. Unlike public LLMs, Kinetica’s solution prioritizes data privacy and security by keeping data within […]

Fundamentals of Prescriptive Analytics

Prescriptive analytics uses historical data to find the best course of action for the future. In a way, prescriptive analytics combines elements from both descriptive and predictive analytics to arrive at actual solutions. The increased preoccupation with everything “data” is now a mainstream trend. The analytics market is expected to reach $190 billion in 2023, growing […]

Data Fabric Use Cases

Data is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” Data fabric use cases offer a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and […]

5 Traps to Avoid in AI Transformation

Running out of budget. Economic calamity. Global pandemic. The risks to our AI initiatives are, literally, all around us. Some of them we cannot control, but some we can. In this piece, we’ll review and assess some of the most common mistakes practitioners make that lead to suboptimal or significantly delayed transformation processes. It’s worth […]

Please Consider Your Business Users When Selecting an Analytics and Data Search Tool

Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front-line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers, […]

How to Build a High-Performance Analytics Team

When most people think of analytics, they tend to picture a rigidly left-brained data scientist more at home with computer programming than creativity. But analytics leader and author John K. Thompson challenges such a notion. During his keynote presentation at DATAVERSITY’s Enterprise Analytics Online event, he proposed instead that the members of an analytics team can be […]