SAS continues to innovate, adding AI capabilities to its analytics platform

SAS Promotes TruDecision’s Innovation at the Global Analtyics Experience Amsterdam Conference

 

SAS® Viya™ enhancements extend the SAS® Platform to deliver new capabilities for analytics-driven organizations

ANALYTICS EXPERIENCE, AMSTERDAM (Oct 17, 2017)
Analytics leader SAS is helping customers gain more value from data with the SAS Platform and its SAS Viya capabilities. These newest advances, such as embedded artificial intelligence (AI) capabilities, will further address the needs of organizations that are putting analytics at the core of their business. A variety of industries, countries and organization sizes have embraced SAS Viya products. Some recent adopters include:

  • Belfius Bank in Belgium
  • F. Hoffmann La Roche, Swiss multinational health care company
  • INRA – the National Institute of Agricultural Research in France
  • NVM, Dutch organization of real estate agents and appraisers
  • SciSports, Dutch sports analytics firm
  • TruDecision, Canadian fintech firm

 

With SAS, data scientists, analysts, developers, IT, domain experts and executives can all generate data-driven insights – from the same, consistent data, fostering greater collaboration and driving innovations into production faster. SAS continues to deliver new capabilities, such as image recognition, deep learning and natural language understanding into the SAS Platform.

SciSports develops AI to find the next great football star

With football (that’s soccer in the US) contracts being signed at upwards of US$50 million, it is important that agents and clubs understand as much about a player as possible. SciSports, based in the Netherlands, advises and builds solutions to determine the influence of individual players on team results, track player development, determine potential market value for a player, and predict game results. Through the SAS and SciSports development partnership, the companies intend to use SAS Viya capabilities and SciSport’s BallJames camera system with the goal of using object detection to access player movements through 3-D images. With cameras capturing footage in real time, SAS AI capabilities can model player movements, and that data can then be used to identify rising stars or undervalued players by benchmarking their performance against others in a given league. To achieve this variety of analysis and insights, the SciSports research requires significant data, deep learning and human expertise.

“SAS has the potential to give us four key things we need,” said Wouter Roosenburg, Chief Technology Officer at SciSports. “The ability to scale our processing power up or down as needed; the option to put models into production in real time using SAS Event Stream Processing; the ease of development and discovery in one platform; and the flexibility to call Python or other open source software.”

TruDecision brings efficiencies to auto dealers and lenders