#watsonxassistant

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.

This explains why sports, where even a small competitive edge can mean the difference between first and second place, have seen such a high number of early adopters of AI.

Consider the US Open from last year, where IBM Watsonx predicted each player’s degree of advantage or disadvantage in the singles draw. Sevilla FC introduced a watsonx-based technology abroad to give scouts thorough data-driven identification and assessment of possible signings. Additionally, EDGE3 will integrate with IBM Watsonx to enhance the college programme and player decision-making process, assisting colleges and athletes in navigating the ever-complex world of recruiting.

The quick adoption of these examples in enterprises goes hand in hand. For example, in order to help important industries, they are collaborating with Adobe to integrate Watsonx into their platform. IBM team is collaborating with SAP to augment SAP products with more artificial intelligence, machine learning, and other intelligent technologies that can increase business outcomes for our mutual clients.AI efforts are being launched by companies of all sizes and sectors.

Giving Responsible AI Priority:

Governance: Watsonx.governance provides resources for risk management, transparency, and staying ahead of AI-related policies in the future. This contains features that guarantee exploitability and track machine learning models.

Data management: Watsonx.data supports ethical and safe data management. It guarantees that data is used in accordance with regulatory rules and offers a dedicated data repository that grows with your needs.

Openness: Because the platform is based on open-source technologies, AI models can be customized and expanded upon. This transparency encourages teamwork and helps prevent the prejudices that come with closed systems.

Features and Specifications:

Multi-model Variety: For particular jobs, you can integrate your own bespoke models or select from pre-built IBM models or open-source models.

AutoAI: This tool streamlines workflows for professionals and makes AI development more approachable for novices by automating tasks like model construction, data preparation, and hyperparameter tweaking.

AI Assistants: Tasks can be automated and AI implemented in a variety of business areas, such as customer service or HR, using pre-built applications powered by Watsonx. There is no need to create code in order to deploy these aids.

Flexibility: Watsonx can be deployed on a range of infrastructures, including on-premises servers, private clouds, and public clouds, to meet a variety of business requirements.

Watsonx hopes to enable companies to properly develop and implement AI by providing these characteristics, emphasising compliance, fairness, and transparency.

It’s crucial to remember that responsible AI implementation calls for more than simply a platform. To guarantee the ethical development and application of AI, businesses must have defined policies and procedures in place.

They ought to be posing the following two queries:

Is AI a good fit for my company?

Indeed. Every organization, whether large or little, is likely in a competitive industry where artificial intelligence can make a major difference. Before using AI, decide on the use case and goals.

In order to enhance their current technology, partners from a variety of industries are already incorporating IBM Watsonx into their processes, products, and solutions in novel ways. For instance, clients can leverage IBM AI with proprietary data stored in Box to speed up business operations by combining Watsonx with Box’s Content Cloud.

Quantum Street AI

Quantum Street AI is a financial investment and wealth management company that provides a comprehensive AI platform with Watsonx integration for professional investors. The platform covers 50,000 publicly traded worldwide firms and asset classes and represents USD 6 billion in client assets.

IBM’s strategy, which employs smaller models tailored to particular business use cases, also assists in lowering the barrier to entry for AI by assisting businesses in adopting particular models that operate on less expensive infrastructure and provide greater flexibility in terms of deployment on-premises, in private cloud, or on the public cloud.

How can I guarantee ethical AI innovation for my business?

Corporate executives of today should be considering how to use AI ethically rather than whether or not to investigate it for their company. There is no margin for mistake when implementing AI in the workplace; the proper safeguards must be put in place.

Governance is an essential component of responsible AI, and it need to be the primary focus of every developer, software supplier, or company planning to use AI. For this reason, Watsonx. Governance’s release was such a big deal for IBM. They give businesses a toolkit to help them embrace transparency, manage risk, and prepare for future regulations centered on artificial intelligence.

Watsonx.data

IBM Watsonx.data

Watsonx.data is a purpose-built data store that partners may use to use their data. It allows businesses to expand AI workloads for all of their data, regardless of where it is stored. IBM’s long-standing stance that such data belongs to the partner is a significant differentiator for IBM. As an alternative, the Granite model series (with publicly available data sources) is available on watsonx.ai, which is used by numerous partners.

IBM partners take the usage of data seriously, just like they do. Consider their partnership with Dun & Bradstreet, which combines Watsonx with the Dun & Bradstreet Data Cloud to assist businesses in expanding their usage of generative AI in an ethical manner.

IBM Watsonx Assistant is being used by Boxes, another IBM Partner, to assist retailers in obtaining buyer-ready data and customer insights so they may introduce new products and provide samples to customers. Additionally, Watsonx Foundation models are being used by partners like to address some of the other difficult aspects of AI, such hallucinations.

IBM Watsonx Assistant is being used by Boxes, another IBM Partner, to assist retailers in obtaining buyer-ready data and customer insights so they may introduce new products and provide samples to customers. Additionally, Watsonx Foundation models are being used by partners like to address some of the other difficult aspects of AI, such hallucinations.

IBM Watsonx Assistant is being used by Boxes, another IBM Partner, to assist retailers in obtaining buyer-ready data and customer insights so they may introduce new products and provide samples to customers. Additionally, Watsonx Foundation models are being used by partners like to address some of the other difficult aspects of AI, such hallucinations.

IBM Watsonx Assistant is being used by Boxes, another IBM Partner, to assist retailers in obtaining buyer-ready data and customer insights so they may introduce new products and provide samples to customers. Additionally, Watsonx Foundation models are being used by partners like to address some of the other difficult aspects of AI, such hallucinations.

IBM Watsonx Assistant is being used by Boxes, another IBM Partner, to assist retailers in obtaining buyer-ready data and customer insights so they may introduce new products and provide samples to customers. Additionally, Watsonx Foundation models are being used by partners like to address some of the other difficult aspects of AI, such hallucinations.

It’s wonderful to say that IBM uses its many years of experience leading the industry, making investments, and doing AI research to support partners at every stage of their AI journey. Regardless of your company’s age, size, form, or sector, IBM offers the appropriate partner programmed and technologies to support the adoption and growth of responsible AI in its enterprise.