eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Map-D Technologies, a big data visualization startup, has raised $1.5 ...
CPAs are masters at collecting, analyzing and presenting data to their clients in valuable financial reports. Visualizations are essential tools for CPAs in this process as they look to convey ...
Battery data visualizations can instantly bring to life the insights that data tables struggle to express, with uses that span across the entire lifecycle of the asset. For R&D, product developers ...
Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...
Rafe Needleman reviews mobile apps and products for fun, and picks startups apart when he gets bored. He has evaluated thousands of new companies, most of which have since gone out of business. Intuit ...
Many companies grapple with data challenges. In a 2019 survey, Deloitte reports that 67% of executives aren’t comfortable accessing or using the data at their organizations. In a separate poll from ...
Last year we wrote about [Alex Spataru]’s Serial Studio project, which started life as serial port data visualizer, like a souped-up version of the Arduino serial plotter. [Alex] has been actively ...
Data visualization — and its close cousin, visual information design — is an often underrated skill; however, it plays a critical role in communicating information to an audience. More than just ...
Nobody needs an AI tool. They need a better way to get to XYZ,” said Leslie Welch, a SHI International data architect who dedicates time to mentorship.
Data Visualization is a widely used technique for visualizing, analyzing, and presenting datasets using different types of graphs. It is an effective way to evaluate a large data set using pictorial ...
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