The Enterprise Data Science Architecture Conference focuses on how to properly productionise data science solutions at scale. We have confirmed speakers from ANZ Bank, Coles Group, SEEK, ENGIE, Latitude Financial, Microsoft, AWS and Growing Data. The combination of presentations is intended to paint a complete picture of what it takes to productionise a profitable data science solution. I invite you to reserve your place at https://edsaconf.io because this is the best place to learn the emerging best practices.
Connect with leaders and build up your toolkit for real machine learning projects. 27th March 2020 at the Melbourne Marriott Hotel. A fully catered conference with coffee, lunch, morning/afternoon tea and evening drinks & canapes. Reserve your place at https://edsaconf.io because this is the place to learn the emerging best practices.
Meet the right people and upskill. As an industry, we are figuring out how to best build end-to-end machine learning solutions. The workflow starts with data sourcing, data preparation, feature engineering, building the machine learning model, testing the ML model, deploying to production, monitoring in production, getting feedback and then repeating the process with improved models and better features. Companies are currently learning how to build it all into one smooth pipeline. As the field matures, knowledge of best practices in end-to-end machine learning pipelines will become essential skills - demanded by clients and employers. Reserve your place at https://edsaconf.io because you must keep your skills current.
Enterprise scale brings its own challenges and solutions. Automation, resilience, scalability and the appropriateness of the data science techniques used have significant impact on profit and loss. Governance is also important because of privacy laws and because large enterprises often operate in regulated industries. The presentations at our conference will focus on how enterprises are productionising machine learning solutions. We are still learning as an industry. Learn from leaders who deploy real data science solutions in their organisations. Our projects have many names: data science, machine learning (ML), artificial intelligence (AI), analytics and other impressive terms. What matters are the results. Increasing profit, saving lives, managing risk, automating manual labour. The presentations at our conference will show you how enterprises are doing it right. Reserve your place at https://edsaconf.io because this is a unique conference.