With each ticket purchase to the 2020 Oil & Gas Machine Learning Symposium virtual immersive experience, you will receive access to:
FREQUENTLY ASKED QUESTIONS
Have an unanswered question? Contact us at the bottom of the page for additional support.
WHO SHOULD ATTEND?
Anyone who wants to know more about the business and technical impact of Data Analytics, Cloud Computing, Machine Learning and the Industrial Internet of Things (IIoT) will benefit. This event is particularly helpful to data scientists, engineers, geoscientists, and managers who want to learn more about these emerging technologies.
HOW WILL I BENEFIT?
The symposium provides numerous opportunities to explore the current state of technologies, hear application case studies, and see directions these new technologies may take the industry. Network with leading experts in the field and have opportunities to ask your own and benefit from others’ insightful questions.
ARE THERE ANY DISCOUNTS AVAILABLE?
Yes, the Oil & Gas Machine Learning Symposium offers an early bird discount which begins on 27 March 2020 in addition to group discounts. Students and academics may receive a 50% discount by using their .edu address in the checkout process. Discounts will be applied in the cart.
DO YOU OFFER BULK TICKET PURCHASE DISCOUNTS?
Yes. Group bundles are offered at discount rates for five or more tickets. Please email admin@upstreamML.com for a unique group discount code.
ARE TICKETS TRANSFERRABLE?
If you are unable to attend, please notify support at admin@UpstreamML.com at least seven  days before the scheduled event for assistance. Complimentary tickets are not transferable for any reason.
WHAT IS YOUR REFUND POLICY?
Refunds will be provided up to seven  business days before the symposium.
WHO DO I CONTACT ABOUT TECHNICAL DIFFICULTIES?
We make every effort to ensure that everyone can participate in as seamless a way as possible. In the unfortunate event that you experience technical difficulties, you may contact our support via email at admin@upstreamML.com, or get real-time chat support via the chat feature in the bottom right corner of the website (www.upstreamml.com).