Accelerators

Customer Challenge

Organisations struggle with the slow integration of diverse data, hindering timely decision-making and competitiveness. The challenge lies in the time-consuming and complex process of integrating new or modifying existing data sources in traditional data warehouses, leading to operational delays, creating friction, and resulting in missed business opportunities.

Solution

Our Fabric Accelerator quickly creates a cloud-based data platform, combining data lake and warehouse technologies, and aligns with Microsoft's tech for rapid, informed decisions.

Customer Value

» Microsoft Collaboration
» Metadata-Driven Data Integration
» Built-In Data Quality Assurance
» Versatile Data Source Handling
» Security and Privacy by Design

Customer Challenge

Modern organisations need to be able to make effective data driven decisions in a timely manner to remain competitive and deliver the best value to their customers. To do this they require fast and frictionless access to a wide variety of data from across the organisation. The current challenge is the time and effort required to ingest new data sources or modify existing data sources in traditional data warehouse takes too long for business owners which creates friction and missed business opportunities.

Solution

The Lakehouse Accelerator combines the best of data lake solutions and data warehouse technologies to fast track the creation of a cloud based data platform powering your digital transformation and empowering everyone to make better and faster decisions, and be ready to take advantage of future AIML opportunities.

Customer Value

» Designed in partnership with Databricks to provide a Databricks best practice, well-architected solution
» Metadata driven approach to interrogate your source systems and rapidly incorporate new data sets with a minimal amount of coding required
» Data quality checking is built into the solution
» Built in capability to handle common data sources – SQL Server, Oracle, APIs, file
» Sensitive data access controlled and encrypted by design

Customer Challenge

Many organisations are looking to take advantage of large language models such as ChatGPT to automate solutions, offer new services and streamline existing processes. 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.

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 documents and 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
» Performance tuned solution to get the best results on your information
» Links to original information provide confidence that the results shown are reliable

Customer Value

» Rapidly implement generative AI solutions
» Utilise generative AI technologies against your documents and data in a secure way
» Use generative AI solutions with confidence that the results shown are accurate and reliable

Customer Challenge

Organisations are faced with continuing pressure to gather and manipulate data in ways that are meaningful for business users to derive actionable insights. The limitations that exist with data presented in spreadsheets, and their inability to share information efficiently and securely, presents barriers to collaboration, and confidence in the data. The challenge is to establish the right foundations early to address these issues.

Solution

Our Power BI Foundations Accelerator ensures the end user experience is consistent, fast, and intuitive. Our approach is based on evidenced based research providing leading practices to enable organisations to rapidly establish design and development guidelines, governance, collaboration, and security practices that engender confidence and trust in their reporting platform.

Customer Value

» Well designed, intuitive reports and dashboards that encourage user adoption and self-serve reporting
» Reduced resource demands from IT departments
» Enhanced data security through the provision of governance, role definition and process clarity
» More effective collaboration, and sharing of data and insights amongst users

Customer 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?

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

Customer Value

» We educate our customers about how to build and operationalise AI
» Build a real PoV AI Model solving a business issue with value
» Build out the AI and Data Science roadmap for the business, prioritised by commercial value
» Business ownership of AI opportunities

Customer Challenge

The operationalisation of AI requires establishing effective Dev Ops principles and practices for managing the lifecycle of ML models in production. The challenge is where to start to increase automation and improve the quality of production ML, effectively manage production of the ML lifecycle and adopt the best principles and practices for increasing efficiency of ML workflows.

Solution

Our MLOps Accelerator Program is a collaborative engagement framework designed to help customers with the following MLOps capabilities:

» Create reproducible ML pipelines and software environments
» Register, package and deploy models into production
» Track and log governance data across the ML Lifecycle
» Notify and alert on events in the ML Lifecycle
» Monitor ML applications for ML related issues and for optimising operations
» Automate the end-to-end ML lifecycle using technologies such as Azure ML and ML flow

Customer Value

» Identification of the right ML models for the implementation of MLOps
» Establish the best practices and principles for the implementation of MLOps
» Collaboratively implement the MLOps capabilities to achieve desired results
» Customers will be guided through the MLOps process, and educated on best MLOps principles and practices