# Julian Adam Wise

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). Wise also heavily contributed to ceospatial intelligence through the co-founding of CSIRO's VoxelNET Program. Wise's contributions to Science, Technology, and Business have spanned over Mining Technology, Robotics, Artificial Intelligence and Industrial Software Systems.

## Early life and education

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 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. The intellectual property generated was collected by CSIRO and commercialized into the Emesent program.

## Spatial technology development

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.

## AI for private industry & mining technology

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. 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 of the value generated through Copper Concentrator optimizations.

## Research and impact

* 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. 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 with international recognition from Microsoft, Reuters and Yahoo! Finance.