Julian Adam Wise

Julian Wise
Julian at Science Mining Conference
Julian at the 10th Robotics and Automation Conference in 2023.
Born
Julian Adam Wise

(1990-10-29) October 29, 1990 (age 34)
Melbourne
NationalityAustralian
Education
Occupations
  • Technical Lead
  • Principal (IT)
  • Senior Architect
Known for
  • Multi-National Digital Transformations
  • AI Platforms
  • Spatial Technology
  • Mining Technology
Children0

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.

Early life and education

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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.

Spatial technology development

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A drone in an underground mine simulated with technology.
The VoxelNET technology for value chain mapping and value exploration.

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]

AI for private industry & mining technology

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Time to Deliver with Machine Learning Operations Julian Wise
Demonstrated improved time to delivery with Machine Learning Operations published to science from work at BHP

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.

Wise stands holding a publication certification with fellow BHP Authors at Mineria Digital 2023
Wise with fellow BHP Authors at Mineria Digital 2023

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.

Research and impact

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  • In 2014, Wise published with CSIRO, Australia's national science agency on cognitive architectures. The research involved designing a drone to autonomously navigate in under the underground mining context beyond the line of sight, for the scanning of new mineral veins.[5] The technology was absorbed by CSIRO and commercialized through Emecent as a commercialisable business.
  • In 2016, Wise built the AI Platform for Newcrest and connected the platform to Unearthed's crowdsourcing digital platform. The effort meant a seamless onboarding of Unarthed crowdsourced AI solutions with Newcrest's Digital Platform, as validated by the "Tame The Temp" crowdsource competition. The result was the fastest onboarding of a machine-learning digital solution for Newcrest.
  • In May 2022, Wise worked from Santiago, Chile to architect the AI Platform for BHP Latin Americas. While in operations Wise delivered numerous projects, authored the AI standards for BHP, and presented the results at a Gecamin.
  • In January 2022, Wise operated as technical lead of a team of twenty two to deliver the fastest project delivery to generate value from zero use case for BHP, and published the outcomes with Gecamin, a digital mining conference and peer-reviewed journal[1] with international recognition from Microsoft, Reuters and Yahoo! Finance.[9][10][11]

Registered patents

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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

Available publications

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Publishing Body Title Field Description Year
Cambridge University Press Legal Smart Contracts for Derivative Trading in Mining[6] Legal Smart Contracts,

Mineral Stockpiles, Tailings Dams Financial technology

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,

Mineral processing

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

See also

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References

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  1. ^ a b c Wise, Julian; Etcheberry, Juan; Medinelli, Luis; Matamala, Yerko; Baijanth, Devesh (1 October 2023). "Improving BHP project delivery timelines with Machine Learning Operations and Cloud Technology". International Congress on Automation, Robotics and Digitalization in Mining. 10 (1): 82.
  2. ^ a b us approved 11265401, Julian Wise, "Spatial data processing system and method", published 2022/03/01 
  3. ^ "Godfrey Abraham Cohen (1909-2004)". 27 July 2019.
  4. ^ Cohen, Trevor (2022). The Greatest Gift (1st ed.). Australia: Real Publishing. pp. 18–19. ISBN 978-0-645213195.
  5. ^ a b Salt, Llewyn; Wise, Julian; Sennersten, Charlotte; Lindley, Craig (2016). Wise, Julian (ed.). ICAI 2016: proceedings of the 2016 International Conference on Artificial Intelligence: WORLDCOMP'16, July 25-28, 2016, Las Vegas, Nevada, USA. U.S.A.: CSREA Press. pp. 31–37. ISBN 978-1-60132-438-2.
  6. ^ a b Wise, Julian Adam; Chan, Meng Chak; Tadic, Dihon; Miles, Stephanie; Cornish, Jack; Sellers, Ewan; Brenecki, David; Dzakpata, Isaac; Murugesan, Barti (January 2020). "Legal smart contracts for derivative trading in mining". The Knowledge Engineering Review. 35: e10. doi:10.1017/S0269888920000144. ISSN 0269-8889. S2CID 214730318.
  7. ^ Wise, Julian Adam (June 2023). "BHP and the internet of things (IoT) edge implementation at Escondida Mine". International Congress on Automation, Robotics and Digitalization in Mining. 10: 82–84. ISBN 978-956-397-068-5.
  8. ^ a b Matamala, Yerko; Cáceres, José; Wise, Julian; Terrazas, José; Rubio, Alejandro (June 2023). "Maximizar recuperación en etapa rougher con mineralogía y sondas para modelos de IA integrados". International Congress on Automation, Robotics and Digitalization in Mining. 10: 101–103. ISBN 978-956-397-068-5.
  9. ^ "BHP unleashes the power of digital at world's largest copper mine – Microsoft Australia News Centre". news.microsoft.com. Retrieved 2023-12-23.
  10. ^ Burton, Melanie (2023-05-30). "BHP taps Microsoft, AI, to improve recovery at top copper mine". Rueters. Archived from the original on 23 December 2023. Retrieved 23 December 2023.
  11. ^ "BHP Group (BHP) & Microsoft Team Up to Use AI at Escondida". Yahoo Finance. 2023-05-30. Retrieved 2023-12-24.
  12. ^ US20200213426A1, Sennersten, Charlotte; Lindley, Craig A. & Evens, Ben et al., "Spatial data processing system and method", issued 2020-07-02 
  13. ^ BR112020004515A2, Sennersten, Charlotte; Lindley, Craig A. & Evans, Ben et al., "spatial data processing system and method", issued 2020-09-08 
  14. ^ CA3075119A1, SENNERSTEN, Charlotte; Lindley, Craig A. & Evans, Ben et al., "Spatial data processing system and method", issued 2019-03-14 
  15. ^ CL2020000550A1, Sennersten, Charlotte; Lindley, Craig A. & Evans, Ben et al., "System and method of processing spatial data", issued 2020-11-13 
  16. ^ CO2020004013A2, Sennersten, Charlotte; Lindley, Craig A. & Evans, Ben et al., "Spatial data processing system and method", issued 2020-08-31 
  17. ^ CN111316332A, 夏洛特·森纳斯滕; 克雷格·A·林德利 & 本·埃文斯 et al., "Spatial data processing system and method", issued 2020-06-19 
  18. ^ Sennersten, Charlotte; Lindley, Craig; Evans, Ben; Wise, Julian (2020-07-02). "SPATIAL DATA PROCESSING SYSTEM AND METHOD". worldwide.space net.com. Retrieved 2023-12-24.
  19. ^ Sennersten, Charlotte; Lindley, Craig; Evans, Ben; Wise, Julian; Grace, Alex (2020-05-06). "SPATIAL DATA PROCESSING SYSTEM AND METHOD" (PDF). Patent Application Publication India. 1 (1): 95.
  20. ^ JP7267261B2, シャーロット・セナーステン; クレイグ・エー・リンドリー & ベン・エヴァンズ et al., "Spatial data processing system and method", issued 2023-05-01 
  21. ^ KR20200057723A, 세너스텐, 샬롯; 린들리, 크레익 에이 & 에반스, 벤 et al., "Spatial data processing system and method", issued 2020-05-26 
  22. ^ Sennersten, Charlotte; Lindley, Craig; Evans, Ben; Wise, Julian (2019-03-19). "SPATIAL DATA PROCESSING SYSTEM AND METHOD". Intellectual Property Office of New Zealand.
  23. ^ RU2020112409A, СЕННЕРСТЕН, Шарлотт; ЛИНДЛИ, Крейг А. & ЭВАНС, Бен et al., "System and method of processing spatial data", issued 2021-10-07 
  24. ^ WO2019046899A1, SENNERSTEN, Charlotte; Lindley, Craig A. & Evans, Ben et al., "Spatial data processing system and method", issued 2019-03-14 
  25. ^ Wise, Julian; Miles, Stephanie; Cornish, Jack; Chak, Meng (2019-03-17). "Derivative Trading through Legal Smart Contracts". IEEE 3rd Symposium in Distributed Ledger Proceedings. 3 (1).
  26. ^ Wise, Julian; Medinelli, Luis; Brady, Stuart; Rodríguez, Marlon (2023-06-10). "BHP and the internet of things (IoT) edge implementation at Escondida Mine". International Congress on Automation, Robotics and Digitalization. 10 (1): 89–91. ISBN 978-956-397-068-5.
  27. ^ Salt, Llewyn; Wise, Julian; Sennersten, Charlotte; Lindley, Craig. "REACT-R and Unity Integration" (PDF). The 2016 International Conference on Artificial Intelligence - Monte Carlo Resort, Las Vegas, United States. 1 (1): 1.
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