Working with executive teams, boards and investors to deeply understand the potential for data and AI to transform critical business problems, the investment and change management required and the regulatory and ethical approaches required for sustainable change.
From product design and hypothesis generation to monitoring and refinement, creating sustainable value from products that combine data and algorithms requires an in-depth understanding of multiple streams of technology and research.
Working with companies of all sizes, large enterprise and startup, to conceptualize, engineer, and commercialize new technology and products.
We provide a structured approach to AI strategy and architecture with a strong focus on capability uplift and change management.
Using the latest language models and techniques to create innovative applications in areas such as customer decisioning and support, creative support, and knowledge retrieval.
Training your algorithm is just the beginning. We help you design and implement robust infrastructure and processes for automating and productizing machine learning workflows.
We understand that solutions involve more than technology. Our design process takes into account commercial drivers, organisational environment, change management objectives and more.
Great technology solutions allow people to shine at what they do best. Machine learning, applied effectively, should make the complex simple without diminishing human experience and accountability.
Solutions that are right-sized for the business case, and consider the economic and cultural factors for success.
Working with the Products & Innovation team in developing a Data Portal and Catalog with embedded computational notebooks for the Telstra Data Hub.
Reducing the world's energy costs through intelligent automation of HVAC using reinforcement learning. Development of a building environment simulator for RL training.
Building a platform for people to discuss, debate and resolve the issues that might otherwise divide them. Using large language models and Generative AI to learn from conversations.
Taking business process mining to the next level. Creating a digital twin of the systems and processes across an organisation.
Definition of the Base Management data and decisioning architecture to enable one-to-one marketing, personalisation at scale, and greater leverage from ML, data and decision science.
Creating the Agencee application using Generative AI to support creative workflows in consumer marketing. AI Strategy for personalisation and paid media.
Improve the efficiency of the Human Services Dataset pipeline, management and reporting.
Supporting architecture for the new data platform and machine learning operations.
Solution design, prototype, and education for a strategic next best action capability as part of the Beautiful Conversations initiative.
Watch this space in 2024.
Large Language Model Orchestration & Observability. Multi-model and multi-modal support.
Using Generative AI to suggest audience segments and segmentation rules based on customer data features and campaign goals.
Data Products Platform unifying Feature Store and Semantic Layer. Serving real-time data to AI applications.
AI-enabled content generation and creative lifecycle management. Supporting personalisation at scale.
AI-first Next Best Action Platform using reinforcement learning. Cross-channel experiments at scale.
Combining large language models and knowledge graphs to extract deep insight from employee and customer feedback.