Get to know DeepConnect®.
DeepConnect® is a hosted, insight discovery platform. No installation is required. You can be up and running in minutes.
DeepConnect® is hosted on Amazon Web Services infrastructure in Sydney, Australia. We can also host in other geographic locations, globally.
Yes. We enforce database separation at the Application instance level.
The platform works with all modern browsers, but we recommend Chrome.
Yes. However, not all functionality is available, or suitable for mobile.
We include numerous sample datasets for training purposes, as well as worked examples to get you started.
CSV and ESRI Shapefiles (geospatial). Our philosophy is to “Keep It Simple”.
The Enterprise edition is deployed on a dedicated virtual private server, generally behind your own firewall. The Enterprise edition includes all role and team-based functionalities, and can be scaled for any number of users or workloads. Our AI analytics engine by default runs on multi-core CPU, but can also be deployed on GPU server instances for larger workloads. Please contact our sales department for more details.
We will provide regular updates on our intake schedules on our Course Details page.
No. Many of our attendees come to our masterclass with little to no experience with data science. However, you are encouraged to read our blog articles to familiarise yourself with some of the unique concepts that we will cover in the program.
Fill in the application form on our Course Details page. We will assess your application and contact you soon after.
Because program places are strictly limited, it is important that you contact us as soon as possible if you must cancel or defer your attendance, subject to our Terms and Conditions.
You have 3-months access to the DeepConnect® Platform Academy edition, starting from Day 1 of the master class.
Contact our sales department and have a chat with us. We will find out the best option for you.
The unique feature of the DeepConnect® platform is that you do not need to know anything about statistics in order to drive our machine learning engine and discover new insights. If you’re an experienced data scientist, you can easily visualise outputs from models made with tools, such as R, Python and SAS, through our platform.
Approximately 2 weeks prior to the program start date, you will receive detailed course outline and schedule.
We encourage you to read our blog articles prior to the program.
We aim for a class size of 4-6 attendees.
Bring your own laptop as you will be getting hands-on experience with running ML models. Our facilities have Wifi connectivity, but you might like to also bring your own 4G wireless data device.
After the masterclass, we will arrange a date that mutually suits.
The agenda for the day will be discussed with you and agreed prior to the visit.
The aim of the check-ins is to track your progress, answer questions you may have and identify any additional learning needs.
We will help you develop a personal action plan specific to your learning goals. Coaching and support will be tailored to your needs.
This can either be covered within your included coaching and technical support time, or you can buy additional support hours.