Compare AI/ML API vs. Vertex AI Vision

Multilingualize your content and apps with machine translation that is available in thousands of languages. The Translation API Basic Edition instantly translates your website or application texts into more than 100 different languages. The Advanced Edition offers dynamic results as quickly as Basic edition but also includes customization features. This is important when you are using phrases or terms that are unique to certain areas and contexts. The Translation API's pre-trained model supports over 100 languages, from Afrikaans through to Zulu. AutoML Translation allows you to create custom models for more than fifty languages. The Translation API glossary ensures that the content you translate is true to your brand. You only need to specify which vocabulary you would like to give priority to, and save the glossary in your translation project.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.

Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.

Dialogflow by Google Cloud is a natural-language understanding platform that allows you to create and integrate a conversational interface into your mobile, web, or device. It also makes it easy for you to integrate a bot, interactive voice response system, or other type of user interface into your app, web, or mobile application. Dialogflow allows you to create new ways for customers to interact with your product. Dialogflow can analyze input from customers in multiple formats, including text and audio (such as voice or phone calls). Dialogflow can also respond to customers via text or synthetic speech. Dialogflow CX, ES offer virtual agent services for chatbots or contact centers. Agent Assist can be used to assist human agents in contact centers that have them. Agent Assist offers real-time suggestions to human agents, even while they are talking with customers.

An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

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NEMS Environmental Management Suite transforms ESG reporting through a genuine collaborative experience. KPI tracking, robust visualization, and advanced Analytics are readily available. Our integration service efficiently captures data from your current systems, enhancing productivity and minimizing reliance on expensive third parties. Anchored by NEMS Panorama, this suite seamlessly adapts to diverse industries, designed for collaboration and intricate processes, poised to evolve with your requirements, making it a revolutionary force in environmental management. Surpassing traditional reporting tools, NEMS Environmental Management Suite introduces cutting-edge collaboration features, efficient workflows, and global control. Tailor your reporting formats with customizable options, ensuring flexibility aligned with your specific needs. While NEMS benefits any industry, we also offer specialized compliance features and tracking tailored for the Oil & Gas sector, drawing from over three decades of expertise. Explore the transformative capabilities of NEMS – schedule a demo today to witness how it can elevate your sustainability efforts.

Orbital Stack, an AI and CFD web-based program, provides earlier qualitative guidance. It compares a wide range of land-use options and shapes, and highlights any red flags. It allows for climate-conscious, high performance developments that are not possible with traditional studies. Orbital Stack was developed by world-renowned experts in microclimate engineering and wind. It is a game-changer in the architecture and building design industry, providing our clients direct access for wind comfort and safety analysis as well as thermal comfort and shadowing analysis and cladding pressure simulations. This allows architects to quickly understand the climate effects of their proposed building designs and make better decisions, resulting in more resilient and high-performing projects.

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