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Wednesday, 28 August 2024 11:11

Queensland Government taps Databricks for new Data and AI Academy Featured

By Gordon Peters
Adam Beavis, Vice President and General Manager for Databricks in ANZ. Adam Beavis, Vice President and General Manager for Databricks in ANZ.

Data and AI company, Databricks has launched a Data and AI Academy for Queensland State Government agencies, designed to expedite data and AI training and enhance the capabilities of Australian public sector staff.

DataBricks says that upon completing the courses, participants will be able to obtain the necessary Databricks accreditations and certifications.

“Databricks Data and AI Academy will upskill more than 100 Queensland Government staff on data, analytics, and AI, helping them to become more proficient with innovative technology to improve productivity and achieve better results,” notes Databricks.

“The strategic programme will also allow them to then train their colleagues, empowering public sector staff to better leverage the suite of data and AI capabilities at their disposal through the Databricks Platform.”

“Our organisation’s digital transformation is well underway, yet a recent review of our data and AI capabilities revealed a skills gap when it came to deploying certain functionalities. Databricks' leading Data and AI Academy offered us the opportunity to empower our staff and ensure skills uplift within our workforce, owing to the programme's inherent knowledge sharing feature,” said Peter How, General Manager, Innovation & Delivery, National Injury Insurance Scheme, Queensland.

“The learnings from the program will inform and fuel our organisation's capabilities for years to come, enabling our teams to co-design and provide improved services for our participants, external stakeholders and internal staff”.

How notes that the Data and AI Academy also promotes citizen data capabilities by automating complex preprocessing, engineering, and model training processes, enabling users to easily build, train, and deploy their own models through a low-code approach.

“Key to our department’s data strategy is the data and digital literacy of our staff, in a rapidly changing environment. The Data and AI Academy is just what we have been looking for as we face skills gaps across the department in leveraging data and AI processing capabilities and mounting implementations,” said Damon Atzeni, Director of Data and Analytics, Queensland Health.

”The Academy is our fast track to understanding the power of the solution we have and developing the skills to use it effectively. The program has enabled us to self-manage deployments in reforming our health data, resulting in greater administrative efficiency and patient care insights.”

“Between Australia’s tight talent market and the quick rise and rapid evolution of AI capabilities, many organisations understand they must double down on training efforts to run best-in-class operations,” said Adam Beavis, Vice President and General Manager for Databricks in ANZ.

“Our leading data and AI academy programme uniquely positions us to assist and guide institutions like the NIISQ and Queensland Health in upskilling staff to accelerate the development of different use cases and their implementation to further innovation.”

National Injury Insurance Scheme, Queensland and Queensland Health’s adoption of Databricks Data and AI Academy procedures follow Databricks audit of the essential state government departments’ data strategies and need for refined implementation strategies.

Databricks hopes to expand the programme to additional departments throughout the Queensland Government.

About Databricks
Databricks is the Data and AI company. More than 10,000 organisations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook.

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