Natasha Huang

Natasha Huang

Country Manager, Australia & New Zealand

UBTECH Robotics

Natasha has worked with AI, big data, industrial/automation solutions for over 12 years. At UBTECH she is the Country Manager for Australia and New Zealand. UBTECH is a unicorn company (ranked alongside Uber) with a $5 billion valuation. It has raised in total over $1 billion, investing over 60% of its expenses for R&D innovation. 

Natasha has rich experience in supply chain efficiency & flexibility with front end customer service data into corporate measurable decision-making models. She has helped client develop strategic plan involving multiple AI solution partners and leverage client in-house resources to build up a completed range of solutions offering for both private sector and biding/participating for governments contracts. She has also specialized in corporate relationships and strategic partnership management, as well as altering/integrating solution offerings through communication with institutes for local regulation and legal restrictions in new technology and innovation projects.  Aside from the Australia market, in the past she has worked in the Czech Republic, Shanghai, Singapore and United States on projects with local enterprise partner/clients.
Natasha works with robotics products that range from educational robots to enterprise solutions and bipedal robots, vertical markets including healthcare,  transport, retails, telecom, finance, education, hospitality and government. Service robots could be used on wayfinding, translation, concierge, customer services, patient care and vertical market content based voice conversation...etc. Currently, UBTECH is the sole service robotic solution partner for Telstra and Amazon Robomaker.
Prior to UBTECH, Natasha spent years at Pegatron, a Fortune 500 company, leading a cross-functional team that worked on AppleCare's global service, involving centralized big data, AI, integrated machine learning processes, and front end solutions/ASP management
Natasha will be presenting on the topic:

“How can the AI you invested in manifest on a robot? Can robots be  more then a marketing stunt?”


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