Find and compare the best Artificial Intelligence software for Qlik Staige in 2024
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Use the comparison tool below to compare the top Artificial Intelligence software for Qlik Staige on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.
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With just a few lines, you can integrate natural language understanding and generation into the product. The Cohere API allows you to access models that can read billions upon billions of pages and learn the meaning, sentiment, intent, and intent of every word we use. You can use the Cohere API for human-like text. Simply fill in a prompt or complete blanks. You can create code, write copy, summarize text, and much more. Calculate the likelihood of text, and retrieve representations from your model. You can filter text using the likelihood API based on selected criteria or categories. You can create your own downstream models for a variety of domain-specific natural languages tasks by using representations. The Cohere API is able to compute the similarity of pieces of text and make categorical predictions based on the likelihood of different text options. The model can see ideas through multiple lenses so it can identify abstract similarities between concepts as distinct from DNA and computers.
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Amazon SageMaker
Amazon
Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility. -
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Databricks Lakehouse
Databricks
$99.00/month All your data, analytics, and AI in one unified platform. Databricks is powered by Delta Lake. It combines the best data warehouses with data lakes to create a lakehouse architecture that allows you to collaborate on all your data, analytics, and AI workloads. We are the original developers of Apache Spark™, Delta Lake, and MLflow. We believe open source software is the key to the future of data and AI. Your business can be built on an open, cloud-agnostic platform. Databricks supports customers all over the world on AWS, Microsoft Azure, or Alibaba cloud. Our platform integrates tightly with the cloud providers' security, compute storage, analytics and AI services to help you unify your data and AI workloads. -
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DataRobot
DataRobot
AI Cloud is a new approach that addresses the challenges and opportunities presented by AI today. A single system of records that accelerates the delivery of AI to production in every organization. All users can collaborate in a single environment that optimizes the entire AI lifecycle. The AI Catalog facilitates seamlessly finding, sharing and tagging data. This helps to increase collaboration and speed up time to production. The catalog makes it easy to find the data you need to solve a business problem. It also ensures security, compliance, consistency, and consistency. Contact Support if your database is protected by a network rule that allows connections only from certain IP addresses. An administrator will need to add addresses to your whitelist. -
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Amazon Comprehend
Amazon
Amazon Comprehend uses machine learning to discover insights and relationships in text. No prior machine learning experience is required. Your unstructured data can hold a treasure trove. Your unstructured data can provide valuable insights into customer sentiment. These include customer emails, product reviews, support tickets, social media and even advertising copy. How can you get there? Machine learning is able to identify specific items of interest within large swathes text (such finding company names in analyst report), and can also learn the sentiment hidden within language (identifying negative customer reviews or positive customer interactions with service agents). This is possible at a nearly limitless scale. Amazon Comprehend uses machine-learning to help you discover the relationships and insights in your unstructured data. -
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Amazon Bedrock
Amazon
Foundation models (FMs), the easiest way to create and scale generative AI apps, are available. Amazon Bedrock gives you the freedom to choose from a variety of FMs created by leading AI startups as well as Amazon. This allows you to find the best model for your needs. Bedrock's serverless environment allows you to get started quickly and customize FMs using your own data. You can then integrate and deploy these FMs into your applications with the AWS tools you are already familiar with. Choose FMs from AI21 Labs (Anthropic), Stability AI (Amazon), and Amazon to find FMs that are right for your application. -
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Amazon Titan
Amazon
Amazon Bedrock is an innovative service that allows FMs to be accessed by leading AI startups as well as Amazon via API. Bedrock makes it easy for customers to create and scale AI-based generative applications, using FMs. It democratizes access for all builders. Bedrock allows users to access a variety of powerful FMs that can be used for text or images, including Amazon Titan FMs. This is done through a scalable and reliable AWS managed service. Amazon Titan FMs have been trained on large datasets and are powerful general-purpose models. You can use them as-is or customize them privately with your own data to accomplish a specific task without having to annotate large volumes of data. Titan Text is a large language model that can be used for tasks like summarization, text creation (for example creating a blog), classification, open ended Q&A and information extraction. Automate natural language tasks, such as text generation and summarization.
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