Dassault Systèmes GEOVIA: digital transformation in mining
Its 3DEXPERIENCE platform serves as a platform for digital innovation across different industries. GEOVIA, as part of that, is itself divided into a number of different products for different industry areas, adding up to model and simulate the planet as a whole.
GEOVIA Surpac is intended for the planning of mines, assisting via 3D representations and workflow automation. GEOVIA Gems, meanwhile, enables collaboration for mine-planning teams in areas such as exploration, modeling, mine design and production scheduling.
Tactics and strategy are another part of the company’s offering, with the former being covered by GEOVIA MineSched, which is designed to maximise productivity and profits. On the strategic level, GEOVIA Whittle focuses on both determining and optimising the economic strength of a mine.
Dassault at large has responded comprehensively to the ongoing COVID-19 pandemic, with its 3DEXPERIENCE platform fully operational on the cloud for remote working. It also said it was dedicated to facilitating remote working for its workers as well as clients.
In a press release, Bernard Charlès, Vice Chairman and CEO, Dassault Systèmes, said: “The steps we have taken in response to COVID‐19 are designed to promote safety for our employees, partners and clients with innovative solutions to help them work from anywhere with the full power of 3DEXPERIENCE collaboration.
“Today we launched numerous new approaches to accelerate innovations in R&D, manufacturing engineering and logistics, by fully exploiting virtual twin experiences online. Empowering our large base of 3D users to collaborate from home plays a significant role in their morale as they can continue their projects and learn together with a positive horizon.”
The company offers its services to industry leaders such as industrial automation firm Imvelo. You can read more about that work here, in our digital report.
How AWS helps NASCAR delight its fans
AWS needs no introduction to readers of Technology Magazine but we rarely get an opportunity to look closely at how it serves the sports sector. All major sports draw in a huge supporter base that they want to nurture and support. Technology is the key to every major sports organization and enabling this is the driving force for AWS, says Matt Hurst, Head of Global Sports Marketing and Communications for AWS. “In sports, as in every industry, machine learning and artificial intelligence and high performance computing are helping to usher in the next wave of technical sports innovation.”
AWS approaches sports in three principal areas. “The first is unlocking data’s potential: leagues and teams hold vast amounts of data and AWS is enabling them to analyze that data at scale and make better, more informed decisions. The second is engaging and delighting fans: with AWS fans are getting deeper insights through visually compelling on-screen graphics and interactive Second Screen experiences. And the third is rapidly improving sports performance: leagues and teams are using AWS to innovate like never before.”
Among the many global brands that partner with AWS are Germany's Bundesliga, the NFL, F1, the NHL, the PGA Tour and of course NASCAR. NASCAR has worked with AWS on its digital transformation (migrating it's 18 petabyte video archive containing 70 years of historical footage to AWS), to optimize its cloud data center operations and to enable its global brand expansion. AWS Media Services powers the NASCAR Drive mobile app, delivering broadcast-quality content for more than 80 million fans worldwide. The platform, including AWS Elemental MediaLive and AWS Elemental MediaStore, helps NASCAR provide fans instant access to the driver’s view of the race track during races, augmented by audio and a continually updated leaderboard. “And NASCAR will use our flagship machine learning service Amazon SageMaker to train deep learning models to enhance metadata and video analytics.”
Using AWS artificial intelligence and machine learning, NASCAR aims to deliver even more fan experiences that they'd never have anticipated. “Just imagine a race between Dale Earnhardt Sr and Dale Jr at Talladega! There's a bright future, and we're looking forward to working with NASCAR, helping them tap into AWS technology to continue to digitally transform, innovate and create even more fan experiences.”
Just as AWS is helping NASCAR bridge that historical gap between the legacy architecture and new technology, more customers are using AWS for machine learning than any other provider. As an example, who would have thought five years ago that NFL would be using ML to predict and prevent injury to its players? Since 2017, the league has utilized AWS as its official cloud and ML provider for the NFL Next Gen Stats (NGS) platform, which provides real-time location data, speed, and acceleration for every player during every play on every inch of the field. “One of the most potentially revolutionary components of the NFL-AWS partnership,” says Matt Hurst, “is the development of the 'Digital Athlete,' a computer simulation model that can be used to replicate infinite scenarios within the game environment—including variations by position and environmental factors, emphasizing the league's commitment to player safety.”