Data is everywhere, but how should you organize it, visualize it, and utilize it to solve problems and make data-driven decisions? This hands-on workshop will show you how to use Microsoft® Excel for ...

The major pain points are cited as data access and analysis (38 percent)), followed by data transformation (17 percent), data creation/collection (13 percent)), and migration issues (13 percent)). [1] ...

One approach is to simply improve the state of available data sets. 2009’s HITECH Act modelled this approach by standardising EMR systems to create richer, more comprehensive, and more up-to ...

The powerful new multi-modal model boosts reasoning, code generation, and real-time inference, and will be available to both free and paid users. OpenAI on Thursday unveiled its highly anticipated GPT ...

Explore Claude Opus 4.1, Anthropic’s groundbreaking new AI model with advanced coding, multilingual, and problem-solving ...

Data science, which enables better decision making, predictive analysis, and pattern discovery is crucial for entrepreneurs trying to solve their business problems, an expert has said during a ...

The Exploratory Data Analysis Problem The prudent scientist must interrogate the data with a laundry list of statistical questions to determine the data’s fit-for-use in AI and ML projects. Are there ...

Microsoft Solving 'Unicorn' Big Data Problem By Michael Hickins Editor Updated April 24, 2013 12:17 pm ET Share ...

Additions to Cisco's Data Center Network Assurance and Insights suite of software can detect problems in network switch fabric before they affect network services.