Data and AI Accelerators
Data and AI Accelerators
Fujitsu’s Health Data and AI Accelerators can be used to kick start or accelerate your AI journey to deliver better outcomes for patients, staff, clinical and administrative processes and value for money.
Our services are designed to overcome specific challenges as your data and AI team moves from experimentation and developing proof of concepts through to implementing viable products and becoming business as usual operations.
Data Science
Challenge
Data Science and Artificial Intelligence concepts and technologies are changing the way organisations operate, as well as creating new opportunities for growth and increasing business efficiency and productivity. The challenge is: where do you start if you really want to accelerate value?
Our solution
Our AI Accelerator Program is a 10-day collaborative engagement framework that enables businesses to:
- Discover the potential and opportunities that AI can provide to their business
- Identify business opportunities well suited for AI
- Kick-start their AI journey through the development of a POC solution
- Provide a clear path to operationalising AI and unlocking commercial value.
AI Ethics Assessment
Challenge
Organisations are increasingly using artificial intelligence to optimise business processes and resource, deliver insights on data and automate ways of working. However, they need to ensure that their use of new technology is being used effectively for all stakeholders and is complying with relevant legislation.
Our solution
Fujitsu will assess your current policies and practices for compliance with best practices in AI ethics and relevant legislation as well as reviewing existing models to ensure they are fair and unbiased.
- Understand business and data and potential areas of ethical concern
- Review existing privacy policies
- Review existing AI ethics policies
- Review of existing AI models
- Provide recommendations
Generative AI Accelerator
Challenge
Large language models such as ChatGPT are revolutionising the ways in which businesses operate by providing services that are able to answer complex questions and generate new content from existing information and templates. The enables processes to be automated and optimised, information to be found more quickly and easily and new services to be offered to customers. However. significant work can be required to implement solutions that are able to use organisational data whilst also keeping it private and secure. Solutions also need to be designed such that they return reliable and accurate results and do not create "hallucinations" which result in business decisions being made of false information.
Our solution
Our Generative AI Accelerator enables organisations to quickly and easily implement a solution that utilises large language model AI technology in a secure and reliable way. The main features of our solution are:
- Installed in your Azure tenancy to keep all data secure
- Fully customisable - custom branding, look and feel, prompt engineering
- User friendly and easy to use interface
- Connectors to automatically load documents from your data sources - e.g. SharePoint
- Advanced processing of documents as they are loaded to ensure the most reliable responses are generated and advanced features such as reading text from images
- Provides citations with each response and enables the original source documents to be displayed to provide confidence that the results are reliable.
Data Science Operating Model
Challenge
Organisations want to enable analytics capabilities throughout the business. However, they need to ensure that the insights derived are reliable, consistent and supportable in the future.
Our solution
Our Data Science Operating Model engagement is designed to establish a consistent operating model for data scientists and analysts across large and complex organisations. We can help organisations with:
- Defining processes for review and prioritisation of data science projects
- Defining processes for data science model development, testing and deployment
- Ensuring models developed are effectively monitored and managed
- Defining standard tools to be used for data science and analytics across the organisation
- Establishing a Data Science / Analytics Centre of Excellence.
MLOps Accelerator
Challenge
Organisations want to enable analytics capabilities throughout the business. However, they need to ensure that the insights derived are reliable, consistent and supportable in the future.
Our solution
Our Data Science Operating Model engagement is designed to establish a consistent operating model for data scientists and analysts across large and complex organisations. We can help organisations with:
- Defining processes for review and prioritisation of data science projects
- Defining processes for data science model development, testing and deployment
- Ensuring models developed are effectively monitored and managed
- Defining standard tools to be used for data science and analytics across the organisation
- Establishing a Data Science / Analytics Centre of Excellence.
