IBM Watson Discovery Integrations

Learn how to implement AI in your business. Watson can help you predict and shape future outcomes, automate complicated processes, and optimize employees' time. To predict and shape future outcomes and automate complex processes, integrate Watson into your workflows and optimize your employees' work hours. To tap into organizational data, integrate Watson into your apps. This will allow you to put AI to use across multiple departments, including finance, customer care, and supply chain. You can make better, more personalized customer experiences, scale the expertise and make smarter business decisions using deep insights from data.

IBM watsonx Assistant is a next-gen conversational AI solution—it that empowers a broader audience that includes non-technical business users, anyone in your organization to effortlessly build generative AI Assistants that deliver frictionless self-service experiences to customers across any device or channel, help boost employee productivity, and scale across your business. -User-friendly interface with drag-and-drop conversation builder and pre-built templates. -Out-of-the-box Large Language Models, Large Speech Models, Natural Language Processing and Understanding (NLP, NLU), and Intelligent Context Gathering, to better understand the context of each conversation in natural language. -Retrieval-augmented generation (RAG) for accurate, contextual, and up-to-date conversational answers around the clock, grounded in your company's knowledge base.

The data refinery tool is available in IBM Watson®, Studio and Watson™, Knowledge Catalog. It transforms large amounts of data quickly into useful, high-quality information that's ready to be used for analytics. Over 100 built-in operations allow you to interactively search, cleanse, and transform data. No programming skills are required. You can easily analyze the distribution and quality of your data with dozens of built in graphs, charts, and statistics. Automatically identify data types and business classes. Access and explore data from a variety of data sources within your organization, or in the cloud. Data governance professionals can automatically enforce policies. For repeatable results, schedule data flow executions. Receive notifications and monitor results. Apache Spark allows you to easily scale out and apply transformation recipes to full data sets. No need to manage Apache Spark clusters.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.