IBM AI Assistant Introduces New Innovations at Think 2024
IBM has unveiled several new features for its AI assistants at Think 2024. These updates, including the new IBM watsonx Assistant for Z, aim to boost productivity and automate workflows across enterprises. IBM’s AI assistants are designed to integrate seamlessly with enterprise processes, data, and applications.
New Features and Enhancements
IBM watsonx Assistant for Z is now available, providing teams with tools to manage and engage with mainframes. This assistant leverages IBM’s extensive experience, offering automations to support system programmers, operators, and developers. Built on the watsonx Orchestrate platform, it uses the chat-focused granite.13b.labrador model, trained specifically on IBM Z content.
The AI assistant builder, a new feature within watsonx Orchestrate, is now available. This tool allows users to create new AI assistants using natural language, enhancing productivity across the enterprise. Additionally, conversational search is now integrated into watsonx Orchestrate and watsonx Assistant, delivering high-quality responses using IBM’s LLMs.
Advancements in Code Assistants
IBM watsonx Code Assistant for Z now includes a code explanation feature, offering natural language explanations of COBOL code. This helps developers understand applications better and simplifies documentation. Similarly, the watsonx Code Assistant for Red Hat Ansible Lightspeed has introduced playbook generation, allowing users to create and explain Ansible content from natural language prompts.
Tailored for Enterprises
IBM’s AI assistants are purpose-built for various domains, ensuring they meet specific business needs. The IBM Granite model, known for its transparency, supports different data sources, workflows, and environments. With the help of IBM Consulting experts and ecosystem partners, businesses can co-create frameworks to identify impactful use cases and transform their operations.