IBM Digital Self-Serve Co-Create Experience

Select a use case to experience a live application built with watsonx. Developers, access prompt selection and construction guidance, along with sample application code, to accelerate your project

Summarization

Classification

Agentic AI for Retail Inventory Management

An AI-powered inventory system that plugs into existing tools, predicts demand, automates replenishment, and prevents stockouts—while keeping humans in control through approvals and overrides for smoother operations and happier customers.

New!

Agentic AI

Talent Acquisition with watsonx Orchestrate

AI-assisted hiring that finds the best resumes, flags duplicate/overlapping job reqs, and drafts interview questions using watsonx.ai and watsonx Orchestrate.

New!

Agentic AI

Loan Preprocessing Agents

The loan pre-processing agents automates data extraction and validation from handwritten or electronic applications. It ensures accuracy, compliance, and faster processing by validating and cross-checking documents before routing to approval.

New!

Content Generation

RFP Assistant

AI accelerates the RFP lifecycle by discovering the most relevant opportunities, generating tailored responses, and producing submission-ready proposals through natural language interactions.

New!

Agentic AI

Kubernetes Assistant

An AI agent built with watsonx.ai helps SREs and DevOps engineers manage Kubernetes and OpenShift environments by explaining, generating, and reviewing code, and identifying issues with tool-assisted reasoning.

New!

Agentic AI

E-commerce Assistant

Gen AI simplifies the online shopping experience by delivering personalized product recommendations, in-depth reviews, and purchase support—empowering smarter decisions for shoppers and retailers alike.

New!

Agentic AI

Personal Styling Assistant

Gen AI helps users design, organize, and refine their wardrobe by suggesting outfit pairings and styling ideas tailored to any occasion.

New!

Classification

AI Guardrails

Ensure trust by protecting the core LLM used in an AI solution by leveraging the Granite Guardian model.

New!

Agentic AI

Wealth management agent

Gen AI streamlines investment decision-making by consolidating key insights and actions, enhancing productivity for wealth management professionals.

New!

RAG

Banking assistant with MongoDB

A banking assistant retrieves the most relevant financial information by leveraging integration with a vector database, providing users with accurate and context-aware data.

New!

Agentic AI

Content Generation

Explore industry-specific agents

Agentic systems using LLMs with reasoning and tool calling capabilities provide better answers to user questions compared to manual prompt engineering.

New!

Classification

RAG

Summarization

Test Agent AI tasks using Synthetic Data Generation

Embed InstructLab SDG in a Testing Center to evaluate models used by an Agent across AI tasks.

New!

All AI tasks

Use watsonx AI models from Salesforce

watsonx models are now accessible on Salesforce via a BYO-LLM open API connector, enabling seamless integration with Salesforce Einstein AI Platform.

New!

Time-series

Energy forecasting using Granite TTM

Granite Tiny Time Mixer (TTM) model forecasts hourly energy demand and generation with zero-shot inference and no fine-tuning using the given energy dataset.

New!

RAG

Summarization

Classification

Content Generation

Side-by-Side Model Evaluation

Compare IBM and external LLMs across latency, cost, and output quality for tasks like question answering, summarization, classification, and generation.

New!

RAG

Ask EDA

Q&A on Electronic Design Automation documents using a RAG pattern with answer evaluation metrics, that is built using watsonx Flows Engine.

New!

Summarization

Extraction

Classification

Contact center insights

AI enables seamless Virtual Agent to Live Agent hand-off in contact centers, providing insights for effective routing and improved customer experience, while leveraging a local embedded watsonx.ai inference stack for enhanced security, compliance, and cost efficiency.

1450+ tries

Beta

Summarization

RAG

Health report assistant

A database stores complex medical reports, allowing a conversational AI to generate concise, actionable summaries and answer user queries tailored to medical practitioners, patients, or medical students.

New!

Code Generation

Retail business intelligence

A BI analyst can explore retail transaction history in natural language to find insights without knowing specific query languages.

New!

RAG

Smart catalog search

A retail user can use image search to find related products in the online store catalog.

New!

Content Generation

Beta

Product Attribute Generator

An app uses product images and page links to define categories, identify brands, and generate product attributes, which can be used for simplifying marketplace onboarding, enhancing inventory management, or ensuring brand identity consistency across retail channels.

New!

RAG

Multi-domain documents Q&A

Users can ask questions related to the information contained in the documents from various domains that are stored in the same knowledge base.

150+ tries

Summarization

Multilingual conversation summaries

Gen AI is used to summarize multilingual conversations with customer service representatives, providing concise insights and assistance.

350+ tries

Social media intelligence

A telecom social media manager can use GenAI to detect dissatisfied customers, identify network issues, and find regional opportunities by monitoring competitor social media channels.

700+ tries

Content Generation

Brief builder

AI system receives specified inputs or data points and uses these to intelligently construct effective marketing briefs.

2700+ tries

Summarization

Classification

Extraction

RAG

Customer care portal

Conversational AI and backend large language models are leveraged to streamline summarization, entity extraction, and sentiment analysis, enhancing customer interactions with contact centers.

2500+ tries

Summarization

Extraction

Classification

Conversation intelligence

Using AI, digital sales conversations are synthesized into concise summaries, identifying key elements for efficient, personalized follow-ups.

2150+ tries

RAG

Self-service customer assistant

AI is leveraged to create a question-answering self-serve capability to empower customer service agents with automated assistance for addressing customer inquiries.

2250+ tries

Code Generation

SQL code generation

Empower analysts with natural language to SQL conversion for retail banking insights and support SQL developers as co-pilots in database operations.

2000+ tries

Summarization

Classification

Email thread summarization

AI classifies email thread topics and summarizes content, enabling quick reading and categorization of support emails for enhanced productivity.

1750+ tries

Extraction

Privacy compliance

Complaint tickets are analyzed to identify PII information, enabling effective masking and controlled exposure on a need-to-know basis. View AI Factsheet from watsonx.gov

1500+ tries

Classification

Extraction

Customer review insights

Customer reviews for a car rental company are analyzed to identify top issues, assess their impact on the business, and determine key corrective actions, all while maintaining secure masking of personal information (PII).

1550+ tries

RAG

Financial report insights

Ask ad hoc questions on the PDF for quick information extraction, automate extraction of insights from the PDF through a list of configurable questions.

1200+ tries

Code Generation

Content Generation

Extraction

Summarization

OCR

Talent acquisition

An HR professional can use GenAI to automate drafting of job requisitions, extract important information from submitted resumes for ease of browsing and search.

1200+ tries

Classification

Content Generation

Extraction

Summarization

Compare with IBM models

Compare the results generated by IBM models with those of a similar or larger models available on the watsonx.ai platform.

1100+ tries

Code Generation

Personal health bot

A database stores patient blood test reports, allowing a conversational AI to answer patient queries by generating and executing SQL queries on the database for results.

950+ tries

Summarization

Classification

Extraction

Tuning conversation insights

AI empowers contact center team leads to fine-tune conversation insights through example submission, without the need for a data scientist.

650+ tries

Summarization

RAG

Telco customer support

Transcripts between Telco agents and customers are transformed into summaries, aiding hand-offs, providing reference material, and enabling resolution processes, with a GenAI-powered Q&A feature for network-related queries.

700+ tries

Beta

Summarization

Extraction

Switch GenAI platform

Developing a business solution with seamless switching between GenAI platforms with enhanced flexibility and customization.

250+ tries

Beta

All AI tasks

Ask my data

Upload your private data in a multi-tenant environment to seamlessly access data insights through a chat interface. Customize your experience by editing prompts and model settings.

2100+ tries

OCR

RAG

Scanned document Q&A

Extract content from scanned and handwritten documents for accurate Q&A results.

2050+ tries

Beta

Classification

Extraction

Content Generation

Legal document insights

Extract legal clauses, review them for completeness and recommend changes based on specific guidance for clause types.

800+ tries

Code Generation

RAG

Smart procurement advisor

Interact with product catalog and vendor data through a digital assistant to get recommendations and automate the supplier identification process to make the procurement process more efficient.

600+ tries

Code Generation

RAG

AskProcurement with D&B

Procurement professionals leverage generative AI to make informed supplier change decisions through a conversational AI interface integrated with a comprehensive document repository.

2400+ tries

Beta

RAG

Stock analysis with SingleStore

Gen AI, augmented by company-specific data, is leveraged to assess the potential impact of global events, such as natural disasters, geopolitical conflicts, economic policy changes, or international decisions, on stock prices.

400+ tries