Application Development with IBM WATSON

Explore Watson Discovery to perform cognitive search, create data collections, and ingest documents to extract keywords, sentiment, and related concepts for building insightful apps.

Discover how the Watson language translator renders text across languages like English, German, French, Russian, Chinese, Hindi, and Arabic. Embed it in Android or web applications via the cloud.

IBM Watson natural language understanding analyzes text or URLs to extract concepts, keywords, people, and emotions, and detects sentiment, enabling integration into Android or web apps.

Explore Watson Personality Insights to analyze psychological traits from social media data and text, producing a personality profile and audience insights for market research.

Explore Watson speech-to-text to convert audio and video into text for analysis. Learn how it handles multiple languages, uploads, speaker identification, and JSON outputs.

Discover Watson text-to-speech that converts text into natural audio with cadences and intonation across English, French, Italian, and Spanish, with voice customization, dialect, and expressive transformation options.

Learn to analyze text for emotions with the Watson Tone Analyzer, identifying anger, fear, joy, sadness, and confidence, and highlighting relevant sections in tweets, emails, and documents.

Explore Watson visual recognizer workflows to upload and analyze images, detect scenes and facial attributes, and train custom classifiers with your own dataset using the visual cognition dashboard.

Explore Watson Studio to manage services via a dashboard, create projects and data, build models for machine learning, and collaborate across teams to create integrated solutions.

Explore Watson Machine Learning to build predictive solutions, integrate cognitive learning, manage services, monitor learning graphs, and deploy models within the studio environment.

Learn how Watson Knowledge Catalog helps you discover, catalog, and securely share datasets while enforcing access controls for the right users, all from the dashboard.

Learn the fundamentals of intents and entities in conversations, identify the underlying intention behind different wordings, and craft intents with at least five examples using symbols and optional context.

Understand how entities anchor context within intents by linking values and synonyms to location, time, and currency. See how predefined and custom system entities shape interpretation in IBM Watson dashboard.

Design conversational dialogs by ordering entities and intents, building branching dialogues with nodes and conditions. Create welcome responses and effective fallbacks that adapt with multiple outputs.

Create a Watson assistant chatbot by setting up a conversation service, naming your application, and building a workspace. Define intents and dialogue flows with responses, testing greetings and farewells.

Explore IBM knowledge studio and natural language understanding to annotate, train, and deploy models that extract entities, dates, and relations from unstructured data.