Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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Assembled
Assembled combines AI agents with advanced workforce management to give support teams the speed, flexibility, and control they need to excel. Our platform streamlines staffing for both in-house and outsourced teams, delivers forecasts with over 90% accuracy, and automates more than half of customer conversations. Whether it’s chat, email, or voice, Assembled orchestrates every interaction, allocating work between AI and human agents in real time. Leading brands like Stripe, Canva, and Robinhood rely on Assembled to boost performance and turn support into a growth driver. Key capabilities include scheduling, forecasting, live performance monitoring, vendor management, AI-powered chat, voice, and email agents, plus an AI Copilot that provides instant guidance, suggested responses, and rapid action tools for agents.
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SuperSplat
SuperSplat is the premier solution for editing and enhancing 3D Gaussian splats. Its user-friendly interface is equipped with robust selection tools that simplify the cleanup process of your splats. Developed on the advanced PlayCanvas engine runtime and utilizing the PCUI front-end framework, SuperSplat offers a lightweight and efficient visual editing environment that is entirely browser-based. There is no need for downloads or installations, making it incredibly accessible. Operating seamlessly with the widely-used PLY file format, SuperSplat is compatible with any engine of your choice. Thanks to the PlayCanvas engine's capabilities, it can effortlessly manage even the most complex 3D Gaussian splat scenes. Users can easily select splats for removal, as well as translate and rotate their scenes according to their needs. Additionally, you can save your work in PLY, compressed PLY, or SPLAT formats. 3D Gaussian splatting presents an innovative technique for generating photorealistic 3D scenes derived from photogrammetry, yet sometimes the captured splats require adjustments for optimal results. Therefore, SuperSplat emerges as an essential tool for artists and developers looking to refine their visual creations.
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GoCanvas
Streamline your operations and cut costs by replacing cumbersome paper forms with personalized mobile forms from GoCanvas. This cloud-based mobile solution empowers companies to transform outdated workflows and enhance productivity by automating tasks. With GoCanvas mobile applications, businesses and their field personnel can swiftly gather data through their mobile devices, seamlessly share this information, and efficiently transmit data back to the office, ensuring that operations continue to run smoothly. Additionally, GoCanvas provides organizations with valuable features like barcode scanning, image capture, mobile payment processing, GPS functionality, and electronic signatures, further enhancing efficiency and convenience. By adopting GoCanvas, companies can not only save time but also improve the accuracy and accessibility of their data collection processes.
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