In transport, deep learning models are being used for traffic prediction and autonomous mobility networks. In environmental ...
In an ideal world, data exists within a single, comprehensive framework that empowers data agility, speed, trust, and ease of access. Standing in the way of this technological haven are legacy ...
This panel discussion delves into the critical challenges and strategies for successful AI scaling within the ...
As power companies build hybrid projects combining solar, wind, battery storage and hydrogen assets, they face the challenge of integrating dozens of different control systems and data types from ...
In MarTech’s “MarTechBot explains it all” feature, we pose a question about marketing to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader ...
To integrate operations as smoothly as possible following mergers and acquisitions (M&A) is always a challenge. Businesses want to keep revenues flowing and to cause as little disruption to customers ...
Data integration is a statistical modeling approach that incorporates multiple data sources within a unified analytical framework. Macrosystems ecology – the study of ecological phenomena at broad ...
Security and governance are the biggest obstacles businesses face when trying to integrate data from various sources, according to recent research from Nexla and Ascend2. The report was based on data ...
AI and data integration are no longer siloed entities; they are dynamic forces converging to reshape industries. AI, with its ability to analyze vast datasets and derive actionable insights, can ...
In this special technology white paper, Why Machine Intelligence is the Key to Solving the Data Integration Problem for the IIoT, you’ll uncover the reasons why machine intelligence is the key to ...
With artificial intelligence reshaping risk management, the quality of data feeding these sophisticated models has never been more crucial. Why? Because AI risk models offer unprecedented capabilities ...
In 1999, Salesforce created the first true software-as-a-service (SaaS) package. Now there are more than 10,000 cloud-based applications aimed at enterprises and SMEs, covering everything from core ...