Greater Toronto Area Receives Enquizit's New R&D Facility, Focused on AI and Machine Learning
By: Enquizit Inc
MCLEAN, Va. - July 30, 2018 - PRLog -- Enquizit is pre-empting emerging technology demands in the Machine Learning, Artificial Intelligence, Block Chain and Internet of Things spaces, by investing in a new Research and Development office in North America. We are proud to announce that our new R&D office, located just outside of Toronto at 1300 Cornwall Road, Suite 201, Oakville, ON, Canada, is now open for business. Arun Sundaram, Principal Architect at Enquizit is being promoted to VP, Canadian Operations to establish the R&D office and manage its functions.
Enquizit, a global cloud solutions provider and Amazon Web Services Advanced Consulting Partner is currently staffing the new office with local talent. "We understand that Toronto is leading the charge in the field of Artificial Intelligence and Machine Learning, and with Google standing up a smart city a few blocks away, we feel our new office in the best possible location for the type of R&D we have been working on," said Lead Architect, M. Asim Iqbal. "The office is also in close proximity to the University of Toronto and University of Waterloo which are some of the most prestigious scientific technology institutes in the world, establishing a pipeline of talent for local recruiting,"
The R&D office will support the applicability of Machine Learning, AI and IoT to cloud solutions Enquizit already provides. Skymap™ is one such solution; a cloud mass migration acceleration solution that enables moving proprietary applications to the cloud in a very efficient and reliable fashion.
While our main focus for the Toronto office is R&D, the new office is expected to expand to provide other technology services to Canada and South America. https://enquizit.com/
About Enquizit – Enquizit Inc. specializes in delivering leading edge cloud technology as a certified Amazon Web Services Advanced Consulting Partner. Enquizit collaborates with AWS Professional Services to provide an array of modern solutions to common yet complex challenges in the areas of DevOps, Cloud Architecture, Cloud Mass Migration, Business Transformation, IoT, AI, Machine Learning, and Cloud Managed Services.
Page Updated Last on: Jul 30, 2018