Viviota Blog

Customers turn to Viviota and to NI technology to better measure and analyze machine data from sensors. It turns out, sensor data does not always work well with traditional IT software, and there is a gap of software tools for this purpose.

The complexity of the electric power industry creates enormous opportunity for Fortune 500 companies and promising technology companies. Increased energy demands, capacity limitations, environmental constraints, varying load shapes, distributed generation and the deployment of new smart technologies all come into play.

The epic storm in February in our home state, Texas, exemplified the fagile nature of our electric grid and the catastrophic consequences of it failure. While new technologies will be developed to build a robust and resilient 21st Century grid, this new grid is still in its infancy and will take years, most likely decades, to reach that utopia of which we dream.

Traditionally, the data cleansing is defined as the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

This is post 2 in the series on 'The 7 Data Habits of Highly Effective Product Companies'. Tune in to our LIVE WEBINAR '7 Data Habits of Successful Product Companies' - MARCH 31, 11 a.m. CDT

Traditionally, the data cleansing is defined as the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

Harvard Business Review[i] reported that cross-industry studies show, on average, less than half of an organization's structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or even used at all. 

Viviota's Senior Architect, Dr. Justin Young, presented this week at the National Instruments (NI) summit for LabVIEW architects.  This annual event brings together top LabVIEW development talent from around the world to share information and exchange ideas to help build best-of-breed LabVIEW applications for the engineering world.  Dr. Young's talk: Migrating a mature application and plugin infrastructure to an architecture based on PPLs covered the following...

Around the globe, in practically every sector, manufacturing facilities are undergoing a major transformation. Factory 4.0, Smart Factories, is becoming a reality. Digitization is changing the way we process materials and make products. Data and the intelligence it can provide is proving to be the key to completely reshaping manufacturing.

The recent announcement on Reuters outlining the new partnership between GM and Honda, to bring two EV vehicles to market for a safer world exemplifies the pressures automotive manufacturers are under today. Honda and GM Partner for EV – Reuters, April 2, 2020  This announcement is not surprising as it is drafting behind GM and Honda’s current collaboration on autonomous vehicles and fuel cell vehicle technology. The companies worked together on the design of an autonomous vehicle called Cruise Origin for GM’s majority-owned Cruise Automation unit.

There’s a rumble in the Automotive Industry. A survey of automotive industries stakeholders, conducted by Jabil, showed that automotive companies are shortening product development timelines to meet new market requirements. The automotive industry has undergone a number of industry-shifting developments over the past several years. The introduction of electric vehicles and the continued development of ADAS technologies are leading these transformations. We’ve seen new challengers in the automotive industry popping up, and rapid innovation within leading automotive companies.