Enterprise Data Science Architecture Conference 2020

Real Solutions, Done Properly

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.

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. Knowledge of best practices in end-to-end machine learning pipelines will become essential skills - demanded by clients and employers. Keeping up keeps our skills current. Register at https://edsaconf.io

The conference will be held 27th March 2020 at the Melbourne Marriott Hotel. Conference delegates will enjoy morning tea, lunch, afternoon tea and evening drinks/canapes. Reserve your place at https://edsaconf.io Early bird tickets are limited in quantity and are on sale until next month - reserve an early bird ticket for best value.

Recent Gartner and Capgemini studies predict only around 25% of data science projects are successful and only around 15% make it to full-scale production. Of these, many degrade in performance and produce disappointing results within months of implementation. Presentations at our conference will include real working solutions that are currently producing good results. Buy your ticket https://edsaconf.io to learn how it's done properly.