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IBM Watsonx Assistant For Z V2’s Document Ingestion Feature

IBM Watsonx Assistant for Z 

For a more customized experience, clients can now choose to have IBM Watsonx Assistant for Z V2 ingest their enterprise documents.

A generative AI helper called IBM Watsonx Assistant for Z was introduced earlier this year at Think 2024. This AI assistant transforms how your Z users interact with and use the mainframe by combining conversational artificial intelligence (AI) and IT automation in a novel way. By allowing specialists to formalize their Z expertise, it helps businesses accelerate knowledge transfer, improve productivity, autonomy, and confidence for all Z users, and lessen the learning curve for early-tenure professionals.

Building on this momentum, IBM is announce today the addition of new features and improvements to IBM Watsonx Assistant for Z. These include:

Integrate your own company documents to facilitate the search for solutions related to internal software and procedures.

Time to value is accelerated by prebuilt skills (automations) offered for typical IBM z/OS jobs.

Simplified architecture to reduce costs and facilitate implementation.

Consume your own business records

Every organization has its own workflows, apps, technology, and processes that make it function differently. Over time, many of these procedures have been improved, yet certain specialists are still routinely interrupted to answer simple inquiries.

You can now easily personalize the Z RAG by ingesting your own best practices and documentation with IBM Watsonx Assistant for Z. Your Z users will have more autonomy when you personalize your Z RAG because they will be able to receive answers that are carefully chosen to fit the internal knowledge, procedures, and environment of your company.

Using a command-line interface (CLI), builders may import text, HTML, PDF, DOCX, and other proprietary and third-party documentation at scale into retrieval augmented generation (RAG). There’s no need to worry about your private content being compromised because the RAG is located on-premises and protected by a firewall

What is Watsonx Assistant for Z’s RAG and why is it relevant?

A Z domain-specific RAG and a chat-focused granite.13b.labrador model are utilized by IBM Watsonx Assistant for Z, which may be improved using your company data. The large language model (LLM) and RAG combine to provide accurate and contextually rich answers to complex queries. This reduces the likelihood of hallucinations for your internal applications, processes, and procedures as well as for IBM Z products. The answers also include references to sources.

Built-in abilities for a quicker time to value

For common z/OS tasks, organizations can use prebuilt skills that are accessible. This means that, without specialist knowledge, you may quickly combine automations like displaying all subsystems, determining when a program temporary fix (PTF) was installed, or confirming the version level of a product that is now operating on a system into an AI assistant to make it easier for your Z users to use them.

Additionally, your IBM Z professionals can accelerate time to value by using prebuilt skills to construct sophisticated automations and skill flows for specific use cases more quickly.

Streamlined architecture for easier deployment and more economical use

IBM Watsonx Discovery, which was required in order to provide elastic search, is no longer mandatory for organizations. Alternatively, they can utilize the integrated OpenSearch feature, which combines semantic and keyword searches to provide access to the Z RAG. This update streamlines the deployment process and greatly reduces the cost of owning IBM Watsonx Assistant for Z in addition to improving response quality.

Use IBM Watsonx Assistant for Z to get started

By encoding information into a reliable set of automations, IBM Watsonx Assistant for Z streamlines the execution of repetitive operations and provides your Z users with accurate and current answers to their Z questions.

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