AI use cases in Australia
5 documented implementations
hipages simplifies home improvements with targeted customer engagement via Databricks
Australian tradie marketplace hipages consolidated three legacy data warehouses (MySQL, Redshift, Athena) into a single Databricks lakehouse with Databricks SQL, Kafka CDC ingestion and dbt, achieving 100% uptime on its key Job Estimator report versus its prior Redash setup and projecting thousands of dollars in annual infrastructure savings.
Leading the multichannel entertainment and wagering business
Tabcorp unified data on the Databricks Data + AI Platform to build a single customer view, an AI-powered risk scoring model for safer gambling, and a Next Best Experience recommendation engine that grew from 5 to 40+ production models, plus an in-house GenAI platform called Tab Intelligence built on Llama 3, delivering $1.75M in platform savings.
CoreLogic cuts platform costs by 5X
CoreLogic cut platform costs by 5X after migrating its on-premises RPA platform to Microsoft Power Automate, as part of a Cognizant client engagement.
I-MED Radiology implements world-first artificial intelligence solution Annalise CXR
I-MED Radiology Network implemented Annalise CXR, an AI chest x-ray decision-support solution developed by annalise.ai (an I-MED joint venture with Harrison.ai), across its 250 clinics nationwide, used by 350 radiologists daily. Annalise CXR detects 124 clinical findings and was, at launch, proven to improve the accuracy of radiologists in identifying over 100 clinical findings, supporting over 38,000 patient cases per month.
Open Universities Australia triples lead qualification with generative AI agents
Open Universities Australia (OUA) used LivePerson's AI Studio to build an LLM-powered generative AI agent that handles initial prospective-student inquiries, replicating the conversational style of human advisors. The agent achieved 3x lead qualification rates compared to self-searching students and 2x compared to OUA's prior scripted chatbot, with an average response time of 6.3 seconds versus roughly 2 minutes for human advisors.


