Akridata, a software company that provides an end-to-end suite of products that support both the smart ingestion and smart exploration of visual data to reduce cost and complexity while accelerating business value, announced the official launch of Akridata Data Explorer, its platform that provides data science teams the tools to easily explore, search, analyze, and compare visual data to improve data sets and improve model training.
Akridata Data Explorer Reduces Visual Data Analysis Time by 15x, Significantly Accelerates Model Accuracy for Production Grade AI Models
Comet Introduces Kangas, An Open Source Smart Data Exploration, Analysis and Model Debugging Tool for Machine Learning
Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way.
Data Visualization: Making Big Data Approachable
Why are some companies able to use Big Data to their advantage, while others remain mired in reams of information, but gain little insight? In many cases, those companies that have found success with Big Data are using data visualization to help make sense of the information.
Field Report: Qlik Qonnections 2016
Hot on the conference circuit this year, we here at insideAI News were pleased to be Qlik’s guest for their Qlik Qonnections 2016 conference in Orlando, Florida on May 1-4. We had a blast at this annual tech extravaganza that’s hosted by one of the industry’s most innovative leaders.
CartoDB Unveils Deep Insights
CartoDB, a leading company for location intelligence, data analysis and visualization, today announced the launch of Deep Insights, a technology layer that enables the visualization, dynamic filtering, and exploration of large location datasets at unprecedented scale and scope.