IBM – Watsonx.ai
Learn MoreScale AI For All Your Data, Anywhere
With nearly 90% of businesses either already using or planning to adopt Generative AI (GenAI)–according to a Bain & Company AI Survey in 2024, and up from 83% in mid-2023–this technology has the power to transform your business. However, it is crucial to implement responsible AI practices into your processes to prevent ethical, legal, and regulatory violations.
Meet IBM Watsonx.ai, an enterprise-ready AI platform and studio for AI builders. IBM Watsonx.ai opens the doors to world-leading foundation models, Generative AI and machine learning. With Watsonx.ai, users can leverage foundation models in a variety of ways including accessing open source models, partner model, and IBM proprietary models, domain-specific models. You can even bring in your own models along with those from trusted sources and communities such as Hugging Face.
IBM Watsonx.ai is an open, hybrid, and governed data store optimised for all data, analytics, and AI workloads.
Generative AI and machine learning for builders
Take a look at some of the benefits of IBM Watsonx.ai:
Bring Together AI Builders
Use open-source frameworks and tools for code-based, automated and visual data science capabilities–all in a secure, trusted studio environment.
Tune Foundation Models For Your Business
Leverage foundation models and generative AI with minimal data, advanced prompt-tuning capabilities, full SDK and API libraries.
Manage The Full AI Lifecycle
Accelerate the full AI model lifecycle with all the tools and runtimes in one place to train, validate, tune and deploy AI models across clouds and on-premises environments.
To learn more, take a look at IBM’s PDF exploring how to scale AI.
View PDFComponents of the watsonx.ai studio
- Manage tasks such as content generation and extraction with foundation model libraries and use IBM-selected open-source models from Hugging Face.
- Use prompts to summarise documents, create content for marketing campaigns, extract information from unstructured text, and more.
- Use APIs and SDKs to integrate generative AI with applications.
- Build, train and deploy machine learning models with an MLOps collaborative studio.
- Construct solution engines for mathematical and constraint programming to address decision-optimisation use cases.
- Automate data preparation, model development, feature engineering and hyper-parameter optimisation.
- Create data preparation and predictive machine learning pipelines with visual modelling.
- Get complete API and SDK for application integration.
Features of IBM watson.ai
Take a look at some of the main characteristics of watsonx.ai.
Foundation Models
Customers have access to a family of IBM-developed Granite foundation models of different sizes and architectures.
Prompt Lab
This is where AI builders can work with foundation models to build prompts using prompt engineering.
Tuning Studio
Help tune your foundation models with labelled data for better performance and accuracy.
Flows Engine
Using its intuitive flow language, watsonx.ai simplifies the development process. This allows generative AI applications to be effortlessly deployed to the cloud.
Data Science and MLOps
This provides all the tools, pipelines and runtimes a data scientist would need to support building ML models automatically.
AI for Business: The DeeperThanBlue approach
AI for Business by DeeperThanBlueWhy choose IBM watsonx.ai
So, why do businesses turn to watsonx.ai?
Open
Based on open technologies that provide a variety of models to cover enterprise use cases and support compliance initiatives.
Targeted
Targeted to specific enterprise domains like Sales, Marketing, Customer Service, HR, Finance or IT operations to unlock new value with Expert Advisors and Assistants.
Trusted
Designed with principles of transparency, responsibility and governance so you can manage ethical and accuracy concerns.
Empowering
Go beyond being an AI user and become an AI value creator, owning the value your models create.
Enhance your business capabilities with DeeperThanBlue
Check out how DeeperThanBlue and IBM watsonx.ai can help you build powerful AI applications in a fraction of the time, with a fraction of the data.
watsonx.ai Use Cases
We’ve built a number of demo applications to showcase how watsonx.ai can be used.
Expert Assistant - Boiler Repair
Scenario: A gas engineer has a series of service jobs and uses the AI assistant on their table to help. The assistant tells them where their next job is and provides them with a summary of the fault that has been reported. It is also able to provide instructions for a repair procedure. The engineer is then able to update the service record through a Jira integration.
Expert Assistant - Vehicle Maintenance
Scenario: A vehicle technician has been presented with a job to replace a boot liner on a Mercedes. They haven’t worked on this particular model before so want some guidance on how to perform the procedure. The AI assistant is able to summarise the process in numbered steps and present the technician with pages from the service manual with pictures the help with the repair.
Customer Service - Where's My Order?
Scenario: A customer has ordered a glazed door and wants to find out the status of their order. Rather than pick up they phone and wait to speak to a person, they use the AI assistant to find the information. The AI assistant is able to integrate with the backend order system to identify the order status.
Customer Support - Product Recommendations
Scenario: A student is home from university and would like to soundproof a room for his drum kit. He is on a budget and want to know what sort of materials are available.
Mass Mobilisation - Blue Light Services
Scenario: There has been a police incident and the control room needs to mobilise additional officers. The assistant is used to communicate with all officers to determine who is available and what skills these people have. It can then automate the allocation of resources with minimal human input.
Customer Support - Financial Services
Scenario: A bank customer is interested in a range of the bank’s services including student loans, mortgage lending, and credit cards. The AI assistant interacts with the user and the website to process display appropriate content and help with account applications.
Note: This watsonx.ai assistant demo site was created by IBM and can be found here.
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Read MoreIBM watsonx.ai iat DeeperThanBlue
Scaling AI for business used to be difficult. It required developers to have the expertise of data scientists to interact with AI. However, all of that has changed. Generative AI has opened the door for all business users to explore AI solutions.
Through IBM watsonx.ai, users can train, validate, tune, and deploy models without data science expertise. Plus, they can take advantage of all machine learning has to offer.
Users can complete a variety of different tasks such as automating customer service 24/7, generating marketing emails at a faster rate, creating sales enablement materials, and even autocompleting code.
Get in touch today to discuss your Watsonx.ai requirements today
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watsonx.ai FAQs
How Can IBM watsonx.ai Benefit My Business?
IBM watsonx.ai can help your business streamline its decision-making, enhance customer experiences and drive innovation through AI-driven insights. By improving data analysis, it can also help reduce costs, increase efficiency and create new business opportunities.
Which Industries Can Benefit From IBM watsonx.ai?
Whilst it can be used across many different industries, it is particularly beneficial to the following sectors:
- Healthcare
- Automotive
- Banking
- Financial Services
- Insurance
- Retail
- Manufacturing
- Wholesale
- Distribution
- Government including Blue Light Services
Is IBM watsonx.ai Suitable For Both Small and Large Companies?
IBM watsonx.ai is designed to be scalable and adaptable, making it suitable for businesses of all sizes. Small businesses might want to implement it quickly and affordably whereas larger enterprises may want to leverage its extensive tools and computing power to handle more complex projects.
Can IBM watsonx.ai be integrated with existing business processes?
Yes, the platform is designed to integrate seamlessly with various business functions such as Sales, Marketing, Customer Service, HR, Finance, and code development through APIs and integrating it with AI assistants such as watsonx Assistants.
Do I Need Advanced AI Skills To Use IBM watsonx.ai?
No. You’ll be pleased to know that IBM watsonx.ai is built to be user-friendly, even for those without an extensive knowledge of AI. However, if you need help to set up or maintain your platform, we are here to help.
How Can IBM watsonx.ai Improve Decision-Making?
watsonx.ai helps businesses make better decisions by providing data-driven insights through machine learning models. It can help with the following tasks:
- Analysing large amounts of structured and unstructured data
- Predicting outcomes
- Recommending actions
- Enabling more informed decision-making
How does watsonx.ai assist in AI model governance?
watsonx.governance provides tools to ensure responsibility, transparency, and explainability in AI workflows, helping businesses manage their AI models effectively. This helps to reduce hallucinations and model drift.
What types of AI models can be developed with watsonx.ai?
Users can train, validate, tune, and deploy both foundation and machine learning models using watsonx.ai. It supports a variety of models including popular large language models (LLMs) from Open Source providers to partners such as Meta and Mistral as well as communities such as Hugging Face.
How can developers use IBM watsonx Code Assistant?
The Code Assistant leverages generative AI to enhance developer productivity by providing code recommendations based on natural language prompts. It can accelerate application modernisation projects and ensure consistent coding standards.