Pyramid Analytics
QlikSense
Owler
Foxmetrics
Whatagraph
Looker
Jaspersoft
Tableau
OpenCV
Scikit-learn
NumPy
Pandas
Dataiku
Exploratory
htm.java
WEKA
Pyramid is an enterprise-grade Decision Intelligence Platform designed to seamlessly scale from individual self-service analytics to large-scale deployments. It supports a wide range of capabilities from basic data visualizations to advanced machine learning, catering to diverse user needs. The platform features a universal client for any device and operating system, facilitating installation on various platforms including on-premises and cloud environments, and interoperability with popular data stacks.
Pyramid emphasizes a balance between self-service productivity and governance, serving as an adaptive analytic platform that adjusts capabilities based on user skills. It manages content as a shared resource, supporting organizations throughout their decision workflows and bridging the gap between analytics strategy and implementation.
The Analytics OS includes six core modules (Model, Formulate, Discover, Illustrate, Present, and Publish) alongside administrative and content management tools, providing a comprehensive analytics experience across the workflow.
Pyramid Analytics, headquartered in Amsterdam with global offices, offers the Pyramid Decision Intelligence Platform. This AI-enhanced solution integrates data preparation, business analytics, and data science to simplify data-driven decision-making. It enables direct data operation without extraction, promoting self-service and governance while supporting complex BI needs.
The platform ensures rapid data-to-decision cycles with a no-code, AI-driven approach, supporting direct access to multiple data sources and environments. It facilitates interactive analysis, data visualization, and machine learning for predictive insights. Pyramid's platform is deployable across cloud, on-premises, or hybrid environments, empowering users with AI-guided workflows and natural language interfaces for intuitive analytics.
Pyramid Analytics OpenCVPyramid Analytics's answer
Hallmark Empyrean Premier Foods
Pyramid Analytics's answer
Pyramid Analytics is unique due to its unified platform combining data preparation, business analytics, and data science with AI-driven self-service. It offers scalability, performance, strong governance, and a user-friendly experience.
Pyramid Analytics's answer
Pyramid Analytics stands out with its unified platform, AI-driven insights, and ability to handle complex data, empowering users of all skill levels to make informed decisions faster than with other tools.
Pyramid Analytics's answer
Pyramid Analytics targets data-driven organizations seeking a comprehensive, user-friendly platform to unlock insights from complex data, empowering both business users and data analysts to collaborate effectively.
Pyramid Analytics's answer
Pyramid Analytics emerged from a need for a more intuitive and powerful business intelligence solution. It was founded on the principle of democratizing data, enabling organizations to harness the full potential of their data through a unified, AI-driven platform.
Pyramid Analytics's answer
Pyramid Analytics is built on a robust technology stack including:
Based on our record, OpenCV seems to be more popular. It has been mentiond 60 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 15 days ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 29 days ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
QlikSense - A business discovery platform that delivers self-service business intelligence capabilities
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Owler - Owler is a crowdsourced data model allowing users to follow, track, and research companies.
NumPy - NumPy is the fundamental package for scientific computing with Python
Foxmetrics - We track the interactions of your customers with your web or mobile applications in real-time, and provide actionable metrics that will help increase your conversion.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
