Find and compare the best Artificial Intelligence software for Google Cloud AutoML in 2024
Sort:
Use the comparison tool below to compare the top Artificial Intelligence software for Google Cloud AutoML on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
Need help deciding?
Talk to one of our software experts for free. They will help you select the best software for your business.
-
1
Google Cloud Platform
Google
Free ($300 in free credits) 55,132 RatingsGoogle Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging. -
2
Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
-
3
Dataiku DSS
Dataiku
1 RatingData analysts, engineers, scientists, and other scientists can be brought together. Automate self-service analytics and machine learning operations. Get results today, build for tomorrow. Dataiku DSS is a collaborative data science platform that allows data scientists, engineers, and data analysts to create, prototype, build, then deliver their data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) You can also use a drag-and-drop visual interface or Python, R, Spark, Scala, Hive notebooks at every step of the predictive dataflow prototyping procedure - from wrangling to analysis and modeling. Visually profile the data at each stage of the analysis. Interactively explore your data and chart it using 25+ built in charts. Use 80+ built-in functions to prepare, enrich, blend, clean, and clean your data. Make use of Machine Learning technologies such as Scikit-Learn (MLlib), TensorFlow and Keras. In a visual UI. You can build and optimize models in Python or R, and integrate any external library of ML through code APIs. -
4
Elastic Observability
Elastic
$16 per monthThe most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution. -
5
Google Cloud Media Translation API
Google
$0.068 per minuteMedia Translation API provides real-time speech translation directly from your audio data. The API leverages Google's machine-learning technologies and provides enhanced accuracy and simplified integration. It also gives you a wide range of features to improve your translation results. Improve user experience with low-latency streaming translation and scale quickly with straightforward internationalization. Google Cloud's speech recognition and translation technologies have been widely recognized due to their quality. This is thanks to Google's machine-learning expertise. Media Translation API brings together cutting-edge technologies. It provides state-of-the art audio translation, along with features from our Translation API and speech to text API. Translate audio data directly. Media Translation API improves accuracy by optimizing model integrations between audio and text. -
6
Google Cloud Video AI
Google
$0.10 per minuteVideo analysis that accurately recognizes more than 20,000 objects, places, or actions. Rich metadata can be extracted at the video, shot, and frame levels. AutoML Video Intelligence allows you to create custom entity labels. Streaming video annotation and object-based triggers allow you to gain near-real-time insights. Highlight reels, recommendations, as well as other tools, can be used to create engaging customer experiences. Over 20,000 objects, places, actions, and actions can be identified in both stored and streaming video. Rich metadata can be extracted at the video, shot, and frame levels. AutoML Video Intelligence allows you to create custom entity labels. You can search your video catalog in the same way as you search documents. You can extract metadata that can be used for indexing, organizing, and searching your video content. You can also control and filter the content to find the most relevant. You can get insights from your video in real-time with streaming video annotation. -
7
B2Metric
B2Metric
$99 per monthPlatform for customer intelligence data that helps brands analyze user behavior across multiple channels. Analyze data quickly and accurately. AI and ML solutions can help you identify customer behavior patterns to make informed decisions. B2Metric integrates with a wide range of sources, including databases that you use most often. Optimize your retention strategy by predicting churn in customers and taking preventive action accordingly. To enable targeted marketing, categorize customers based on their characteristics, behaviors, and preferences. Optimize marketing strategies by leveraging data-driven insights. This will improve performance, target, personalization and budget. Optimizing touchpoints and tailoring your marketing efforts will help you provide unique customer experiences. AI-based marketing analytics to reduce user churn and increase growth. Advanced ML algorithms can identify customers at risk of churning and develop proactive retention strategy. -
8
Amazon SageMaker offers all the tools and libraries needed to build ML models. It allows you to iteratively test different algorithms and evaluate their accuracy to determine the best one for you. Amazon SageMaker allows you to choose from over 15 algorithms that have been optimized for SageMaker. You can also access over 150 pre-built models available from popular model zoos with just a few clicks. SageMaker offers a variety model-building tools, including RStudio and Amazon SageMaker Studio Notebooks. These allow you to run ML models on a small scale and view reports on their performance. This allows you to create high-quality working prototypes. Amazon SageMaker Studio Notebooks make it easier to build ML models and collaborate with your team. Amazon SageMaker Studio notebooks allow you to start working in seconds with Jupyter notebooks. Amazon SageMaker allows for one-click sharing of notebooks.
- Previous
- You're on page 1
- Next