Core ML vs. Dialogflow Comparison


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About Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. Your app uses Core ML APIs and user data to make predictions and to train or fine-tune the model. You can build and train a model with the Create ML app bundled with Xcode. Models trained using Create ML are in the Core ML model format and are ready to use in your app. Alternatively, you can use a wide variety of other machine learning libraries and then use Core ML Tools to convert the model into the Core ML format. Once a model is on a user’s device, you can use Core ML to retrain or fine-tune it on-device.	About Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Developers in search of a solution to integrate machine learning models into their apps	Audience Businesses and developers interested in a comprehensive platform for developing chatbots, voice bots, and virtual agents using natural language understanding
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 4.5 / 5 ease 4.5 / 5 features 4.2 / 5 design 4.2 / 5 support 4.5 / 5 Read all reviews
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Apple United States developer.apple.com/documentation/coreml	Company Information Google Founded: 1998 United States cloud.google.com/dialogflow
Alternatives Create ML Apple	Alternatives Google Cloud Speech-to-Text Google
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Categories Development Frameworks Machine Learning	Categories AI Agent Builders AI Agents AI Development AI Tools AI Voice Agents Artificial Intelligence Artificial Intelligence (AI) APIs Chatbot Conversation Intelligence Conversational AI Conversational Support Machine Learning Natural Language Processing Voice Bot
	Machine Learning Features Deep Learning ML Algorithm Library Model Training Natural Language Processing (NLP) Predictive Modeling Statistical / Mathematical Tools Templates Visualization Show More Features Artificial Intelligence Features Chatbot For eCommerce For Healthcare For Sales Image Recognition Machine Learning Multi-Language Natural Language Processing Predictive Analytics Process/Workflow Automation Rules-Based Automation Virtual Personal Assistant (VPA) Chatbot Features Call to Action Context and Coherence Human Takeover Inline Media / Videos Machine Learning Natural Language Processing Payment Integration Prediction Ready-made Templates Reporting / Analytics Sentiment Analysis Social Media Integration Conversational AI Features Code-free Development Contextual Guidance For Developers Intent Recognition Multi-Languages Omni-Channel On-Screen Chats Pre-configured Bot Reusable Components Sentiment Analysis Speech Recognition Speech Synthesis Virtual Assistant Natural Language Processing Features Co-Reference Resolution In-Database Text Analytics Named Entity Recognition Natural Language Generation (NLG) Open Source Integrations Parsing Part-of-Speech Tagging Sentence Segmentation Stemming/Lemmatization Tokenization
Integrations Apple tvOS AutoResponder BotCore CEDEX Technologies Carrot quest Chatwoot Cisco Webex Clienk EBM Five9 Genesys Cloud CX Ideta Inworld SilFer Bots Smart IVR Take Blip Tiledesk WPBot Yodel.io maaiiconnect Show More Integrations View All 3 Integrations	Integrations Apple tvOS AutoResponder BotCore CEDEX Technologies Carrot quest Chatwoot Cisco Webex Clienk EBM Five9 Genesys Cloud CX Ideta Inworld SilFer Bots Smart IVR Take Blip Tiledesk WPBot Yodel.io maaiiconnect Show More Integrations View All 61 Integrations
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