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Australian Technology Leader From Wikipedia, the free encyclopedia
Julian Adam Wise (born October 29, 1990) is an Australian technical lead and innovator best known for leading the building of Artificial Intelligence platforms for multi-national companies, contributions to spatial technologies, and as a pioneer of MLOps as an AI methodology. Wise demonstrated the ability of his AI Platform's to rapidly scale time-to-delivery for AI Models, within the field of Machine Learning Operations (MLOps).[1] Wise also heavily contributed to Geospatial intelligence through the co-founding of CSIRO's VoxelNET Program.[2] Wise's contributions to Science, Technology, and Business have spanned over Mining Technology, Robotics, Artificial Intelligence and Industrial Software Systems.
Wise was born and raised in Melbourne, Australia. Wise's mother's side of the family through Godfrey Cohen draws their arrival to Australia to the larger Solomon family[3][4] and Cashmore Family of Australian Jewish pioneers, amongst whose descendants many achieved a degree of notability.
During his studies of Software Engineering, Wise worked with CSIRO, the Australian national science agency on Artificial Intelligence to place a cognitive architecture onto drones for autonomous cave exploration and simulation.[5] The intellectual property generated was collected by CSIRO and commercialized into the Emesent program.
After working in Israel, Julian accepted a role with Mining3, a private Mining Research Institute in collaboration with CSIRO. During this time, Wise published with Cambridge University Press on Legal Smart Contracts for derivative trades of mineral stockpiles.[6]
As a professional consultant, Wise commenced as an AI engineer with Newcrest, to build AI Platforms and productionise machine learning models on said platforms. It was during this time that Wise created three AI platforms within the sub-field of MLOps for Newcrest. One to production models in Azure with Python, one open source MLFlow Platform for the life-cycle management of AI models produced in R, and one to productions custom modified Kubeflow platform to production models produced in MATLAB.
Wise achieved Consultant of the Year in 2021 with the Fortune 500 Organisation he was employed by, Insight Enterprises.
During this period, Julian relocated to South America to build the AI Platform for BHP's Latin American operations. The platform was hallmarked as revolutionary and improved the time to deliver solutions from months to weeks.[7] The features included automated retraining, model cataloging, performance cataloging, performance-to-model-to-code lineage. During this time Wise authored the AI and Machine Learning Global Technology Standards, to govern the management of BHP's AI models over their operational lifecycle. The methodology was validated with a challenge to deliver a project which would normally take twelve months, to deliver in twelve weeks. The project was a decisive success and the uplift in copper recovery for Escondida Mine was demonstrated with the outcomes published to a peer-reviewed scientific journal[8] of the value generated through Copper Concentrator optimizations.
Country | Official No. | Title | Filing Date |
Australia | 2017903626[12] | Spatial Data Processing System and Method | 7 September 2017 |
Australia | 2018328754 | Spatial Data Processing System and Method | 7 September 2018 |
Brazil | BR 11 2020 004515 2[13] | Spatial Data Processing System and Method | 7 September 2018 |
Canada | 3075119[14] | Spatial Data Processing System and Method | 7 September 2018 |
Chile | 00550-2020[15] | Spatial Data Processing System and Method | 7 September 2018 |
Colombia | NC2020/0004013[16] | Spatial Data Processing System and Method | 7 September 2018 |
China | NC2020/0004013[17] | Spatial Data Processing System and Method | 7 September 2018 |
Europe | 18854546.1[18] | Spatial Data Processing System and Method | 7 September 2018 |
Indonesia | P00202002451 | Spatial Data Processing System and Method | 7 September 2018 |
India | 202037011292[19] | Spatial Data Processing System and Method | 7 September 2018 |
Japan | 2020-513804[20] | Spatial Data Processing System and Method | 7 September 2018 |
Republic of Korea | 10-2020-7010049[21] | Spatial Data Processing System and Method | 7 September 2018 |
New Zealand | 762669[22] | Spatial Data Processing System and Method | 7 September 2018 |
Peru | PCT/AU2018/050969 | Spatial Data Processing System and Method | 7 September 2018 |
Russian Federation | 762669[23] | Spatial Data Processing System and Method | 7 September 2018 |
United States of America | 16/645419[2] | Spatial Data Processing System and Method | 7 September 2018 |
South Africa | 2020/01681 | Spatial Data Processing System and Method | 7 September 2018 |
Patent Co-Operation Treaty | PCT/AU2018/050969[24] | Spatial Data Processing System and Method | 7 September 2018 |
Publishing Body | Title | Field | Description | Year |
---|---|---|---|---|
Cambridge University Press | Legal Smart Contracts for Derivative Trading in Mining[6] | Legal Smart Contracts, | List Stockpiles reserves to finalization before full mineral extract via Legal Smart Contracts on Distributed Ledgers. | 2020 |
IEEE | Derivative Trading through Legal Smart Contracts.[25] | Legal Smart Contracts,
Mineral Stockpiles, Tailings Dams,Blockchain, Financial technology, Financial Options |
List Stockpiles reserves to finalization before full mineral extract via Legal Smart Contracts on Distributed Ledgers. | 2019 |
Gecamin Latin America | Improving BHP project delivery timelines with machine learning operations and cloud technology.[1] | Machine Learning Operations, Data Science, Data Governance, Performance Engineering, | Speed up AI productionisation for BHP Latin America, and apply governance standards by design with MLOps. | 2023 |
Gecamin Latin America | Maximize rougher stage recovery with mineralogy and probes for integrated AI models.[8] | Rougher Optimisation, Mine Engineering, Mineral processing, Data Science | Demonstrated use of data science to boost copper recovery for Escondido mine. | 2023 |
Gecamin Latin America | BHP and the Internet of things (IoT) edge implementation at Escondida Mine.[26] | Industrial IoT, Operational Technology | Proof of Value Decision Automation for Escondido Mine. | 2023 |
International Conference on Artificial Intelligence Proceedings (2016) | REACT-R and Unity integration.[27] | Digital Twins, Cogntive Architecture, Drone Intelligence | Underground mine exploration with cognitive architectures on drones in 3D spatial digital twins. | 2016 |
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