How VIA TAC™-kles Sensor Data
Many utilities are concerned about the responsibility that comes with sensor datasets. As a result, the data gets trapped. VIA’s software platform, TAC™ was designed to address these issues in power sector data.
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Many utilities are concerned about the responsibility that comes with sensor datasets. As a result, the data gets trapped. VIA’s software platform, TAC™ was designed to address these issues in power sector data.
The Energy Data Hackdays 2020 hackathon in Switzerland this past weekend marked the first time TAC™ was used by multiple independent third-party analysts in a highly competitive and time-compressed environment.
With the success of its first session, VIA is thrilled to host the second installment of its GDAC™ Virtual Mini-Series on September 30, 2020 at 8:30pm ET. This session will feature presentations from VIA on new GDAC™ portal functionality and a founding member panel discussion on topics like GDAC™’s daily value and solving tomorrow’s challenges with GDAC™.
VIA has implemented homomorphic encryption (HE), which is cryptography that holds the promise of allowing computations on data while it remains encrypted.
VIA has implemented a k-anonymity function to help utilities meet requirements of regulators including releasing data for clean energy initiatives and mandating increased information privacy and security requirements.
VIA’s Colin Gounden has been invited to speak on a virtual panel on August 19th hosted by Woodside Capital Partners. The webinar titled, “Smart Sensors and their role in the Digitalization of Energy and Industry” is the first of a three-part series. The panelists will share “their perspectives and insights on the role that Smart Sensors have on the Digitalization of Energy and Industry”.
Hawaiian Electric has extended its commitment to the Global Data Asset Collaborative™ (GDAC™): Substation Transformers to further improve decision making and regulatory support related to its transformer fleet.
VIA has been awarded funding from the Swiss Federal Office of Energy for a project called KnowlEDGE to enhance TAC™’s capabilities to run AI algorithms directly on smart meters, also known as edge computing.
VIA recognized by StartUS Insights as one of 32 companies out of nearly 10,000 that are changing the energy landscape.
VIA’s CEO answers questions about VIA’s solutions, impact of COVID-19, and company culture.
SWEET stands for Smart Wrangling Engine for Extraction and Transformation. SWEET, a built-in function on VIA’s TAC™ platform, uses AI to wrangle data.
VIA has been awarded a $1.5M contract with the U.S. Air Force to provide secure and privacy-protected analysis of data.
Meet Ashley DaSilva, VIA’s Team Leader, Product Development. Ashley talks about one of her passions outside of work and her favorite VIA memory (which happens to take place in the underground city of Montreal).
The new office space will better suit VIA’s growth and appeal to the academic and technical community in Montreal by creating dedicated space to host future events and meetups.
VIA’s Trusted Analytics Chain™ (TAC™) will be utilized for its privacy-protection capabilities by a competing team during Energy Data Hackdays 2020. The event will take place on August 28-29 in Brugg, Switzerland. The event is focused on Swiss energy data analysis and is considered one of the most important energy events in the Swiss energy industry in 2020. For more on the event and planned challenges, visit the following website: https://opendata.ch/projects/energy-data-hackdays-2020/.
John is focused on implementing best practices for software development at VIA. He co-invented VIA’s core platform and currently develops, integrates, and quality assurance tests the platform for VIA’s applications.
Before VIA, John was a freelance consultant at the Numerical Algorithms Group (NAG), where he focused on updating their Python Library. Prior to this position, he was a technical sales support engineer at NAG in Oxford, where he developed technical marketing material and provided pre-sales assistance. John was awarded the best thesis in gravitation physics in 2016 by the Institute of Physics (IOP). His research focused on developing new numerical methods that capture the physical behavior of fluid interfaces permeated by high magnetic fields while taking into account relativistic effects.
John earned his master’s degree in physics and his Ph.D. in applied mathematics from the University of Southampton.
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