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.
Overview
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.
This entry has 15 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Legacy systems created siloed data and inefficiencies that hampered customer understanding across digital and physical channels. It was taking Tabcorp days to piece together customer journeys because data was scattered across different systems.
The solution
Tabcorp adopted the Databricks Data + AI Platform, using Delta Lake to centralize data, Unity Catalog for access controls and regulatory compliance, Lakeflow Jobs to automate data pipelines, and MLflow to manage their ML lifecycle, building a Next Best Experience (NBX) recommendation engine and an in-house GenAI platform called Tab Intelligence powered by Llama 3 with a RAG architecture.
Reported business value
Tabcorp improved generosity efficiency from 70% to 90% over 12 months while reducing their $385M AUD annual budget by 12%, saved 20% of data analysts' time, achieved 3-5x productivity improvement with Tab Intelligence, and achieved significant cost savings by decommissioning seven legacy systems.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other media & entertainment entries in the register.
How Business Insider's AI-based paywall strategy increased conversions by 75%
Business Insider replaced its editorially-driven freemium paywall with a machine-learning-based smart paywall that decides which content to paywall for each user based on prior reading habits, referral platform, and each content genre's propensity to convert. In testing from December to April, total conversions increased more than 75% versus the control, with 60% of new conversions coming from stories that would never have been paywalled before. Applying AI to the registration wall as well increased registrations by 300%.
Delivering AI-powered entertainment that captivates users for hours
Scatter Lab used Databricks' flexible GPU clusters to build a proprietary Korean-language large language model in three months on a limited budget, powering its AI companion chatbot platform Zeta, which reached 1.5 million users within nine months with over 12 hours of average weekly engagement.
Süddeutsche Zeitung: Lokalinformationen per WhatsApp
Süddeutsche Zeitung (SZ) launched WhatsApp channels for districts around Munich, offering free local news, event information and regional updates. Content comes from SZ's local newsrooms and is supplemented by automatically generated information produced in cooperation with Berlin media startup Beat Squares, which uses AI to process data from publicly accessible sources. All contributions are editorially reviewed before publication. More than 4,000 users subscribed within the first three days.
Hearst uses embedded AI for invoice recognition, cash management, and supplier-payment decisions
Hearst launched Project UniFi to standardize finance, HR, and procurement on Oracle Fusion Cloud Applications, consolidating 19 general ledgers into one chart of accounts and accelerating financial close by 66%. Hearst uses automation and embedded AI to support invoice recognition, cash management, and supplier-payment decisions; intelligent payments help identify suppliers eligible for early-payment discounts across 40,000 vendor relationships.
Was this helpful?
Your feedback helps us improve our use case database
