NEWS

2012/03/01 - Eric-Paul Couture, CFA, joins ApSTAT

ApSTAT Technologies is pleased to announce that M. Eric-Paul Couture, CFA, is joining its financial modeling and consulting practice, which will be named FinAp Strategies. Mr. Couture is a veteran in the portfolio management and financial modeling areas, having co-founded Quantitative Capital in 1992. He is no stranger to ApSTAT Technologies having been previously involved as a consultant to ApSTAT in several of its financial mandates since 2004.


2011/03/31 - ApSTAT partners with STEERads in Online Advertising

STEERads

ApSTAT Technologies and STEERads are pleased to announce a partnership in the development of a solution for real-time bidding (RTB). RTB is the process by which online advertising is auctionned, in real time. Advertisers bid a certain amount in order to have their ad placed at a given time, on a certain page viewed by a particular individual.

STEERads proposes a solution to optimize the amount to be bid, using information aquired through various channels whereas ApSTAT provides machine learning expertise to exploit this information in order to improve the precision of the bids to be placed.

“STEERads is poised to automate real time display advertising optimization. Advertisers/DSPs/SSPs and trading desks can now focus on their competencies and increase revenues for their customers with the STEERads solution. It is a win win solution. It is a game changer,” says André Taliercio, Co-Founder and Director of Strategic Partnerships at STEERads. “This partnership creates value by combining STEERads' strengths in the online advertising marketplace with ApSTAT's renowned expertise in machine learning,” adds Charles Dugas, co-founder of ApSTAT.

On March 31st, ApSTAT completed a first mandate whereby a prototype is now being implemented and tested in-the-field.

About STEERads: Founded in 2010, STEERads specializes in real-time price optimization for display advertising. The technology is based upon Machine Learning and Deep Learning.The STEERads solution is designed to improve campaigns ROI based on the user’s profile and their intents. Automated campaign optimization is the necessary weapon to keep a sharp competitive advantage. Customers are: Demand Side Platforms, Supply Side Platforms and Trading Desks.

About ApSTAT Technologies: Founded in 2001 by professors and researchers from University of Montreal, ApSTAT Technologies offers an expertise and a family of products and services enabling the technological and operational deployment of data mining and machine learning solutions. Some of ApSTAT's clients include major insurers such as AXA Canada and National Bank Insurance, financial services firms such as Desjardins, and defence contractors such as Battelle.


2010/01/29 - ApSTAT integrates demand and absenteeism forecasting modules into Optime

Omega Optimisation

ApSTAT intensifies its partnership with Omega Optimisation by integrating forecasting modules into Optime, namely demand forecasting and absenteeism and tardiness forecasting.

The demand forecasting module enables calculation of the “right” number of employees that must be assigned to specific tasks at each time of the planning period, taking into account the target level of quality of service as well as associated costs.

The absenteeism and tardiness forecasting module enables a more efficient planning and management of the negative impacts related to employee absenteeism, by proactively acting on precise indicators such as work shift quality, variable schedules, or the possibility of working from home.

These two modules are essential components within a comprehensive resource optimization strategy. Together, they magnify the benefits of a powerful workforce management software such as Optime.

About Omega Optimisation: based in Montreal and founded in 2002 by a team of PhD's in operations research, Omega Optimisation develops state-of-the-art solutions to optimize complex business processes, especially in the area of optimal personnel scheduling. Users of Omega's products include the Labatt Breweries of Canada, the Fédération des producteurs de lait du Québec, as well as several hospitals and universities in the province of Quebec.

About ApSTAT Technologies: founded in 2001 by professors and researchers from University of Montreal, ApSTAT Technologies offers an expertise and a family of products and services enabling the technological and operational deployment of data mining solutions. Some of ApSTAT's clients include major insurers such as AXA Canada and National Bank Insurance, financial services firms such as Desjardins, and defence contractors such as Battelle.


2009/11/12 - Myriam Côté joins ApSTAT as director of operations

Myriam Côté joins ApSTAT’s team in quality of director of operations. An engineer by training, she holds a Ph.D. in artificial intelligence as well as a solid industrial experience in technical, commercial and strategic positions. As a member of ApSTAT’s executive committee, her goal is to give clients complete satisfaction at every step of their relationship with ApSTAT.


2009/03/31 - ApSTAT Technologies announces the renewal of its mandate with the Army Research Laboratory

ARL

Since nearly one year and a half, ApSTAT collaborates with the Army Research Laboratory (ARL) of the U.S. Department of Defense to develop an automatic classification system for impulsive audio signals, such as detonations. This system relies on advances in signal processing and recognition algorithms developed for the past several years by ApSTAT, in cooperation with the Adaptive Computer Systems Laboratory of Professor Yoshua Bengio at University of Montreal.

Due to the excellent results reached by ApSTAT during the project Phase 1, ARL asked ApSTAT to study more complex aspects of the problem during a project Phase 2. This new phase will last 12 months.

About ApSTAT Technologies: founded in 2001 by professors and researchers from University of Montreal, ApSTAT Technologies offers an expertise and a family of products and services enabling the technological and operational deployment of data mining solutions. Some of ApSTAT's clients include major insurers such as AXA Canada and National Bank Insurance, financial services firms such as Desjardins, and defence contractors such as Battelle.


2008/06/30 - ApSTAT et SQLiaison announce the availability of FellowDSS ORS

SQLiaison

ApSTAT Technologies has integrated its predictive analytics software Optimal Risk Sharing (ORS) into SQLiaison’s FellowDSS business intelligence suite. For an automobile insurer, the new FellowDSS ORS module enables the precise identification of the most under-rated risks and allows to transfer them to the Plan de Répartition des Risques (Québec) or Risk Sharing Pools (Alberta, New Brunswick, Nova Scotia, Ontario), according to the local regulations.

Year after year, insurers must take part in the losses realized by each pool without taking advantage of the pool benefits, since they are unable to identify which of their risks should be transferred. FellowDSS ORS provides a solution to these insurers, allowing them to take the most uncompensated-for risks off of their books.

About SQLiaison: founded in 1994 with initial mandate to develop an innovative expertise in information management, SQLiaison has since grown its know-how to include project management, multidimensional modeling strategies as well as data integration and information analysis technologies. SQLiaison has developed SMART eBI, a pioneering methodology based on business intelligence best practices, as well as FellowDSS, a complete suite of analytical applications ready to be deployed in the Property & Casualty insurance industry.

About ApSTAT Technologies: founded in 2001 by professors and researchers from University of Montreal, ApSTAT Technologies offers an expertise and a family of products and services enabling the technological and operational deployment of data mining solutions. Some of ApSTAT's clients include major insurers such as AXA Canada and National Bank Insurance, financial services firms such as Desjardins, and defence contractors such as Battelle.


2008/03/03 - ApSTAT Technologies and Omega Optimisation announce a scientific development partnership

Omega Optimisation

ApSTAT Technologies, with its expertise in robust data mining solutions, joins forces with Omega Optimisation, who specializes in high-performance operations research software, to form a scientific development partnership. ApSTAT will develop the demand forecast module to be used by Omega within its OpTime software product, the automated optimal workforce scheduling system developed by Omega Optimisation.

“We are enthusiastic to contribute our capabilities and experience to this essential component of OpTime, which shall enable more precise budgeting and significant gains in the efficient scheduling of an enterprise workforce” indicates Nicolas Chapados, ApSTAT's executive vice-president. Michel Jarry, COO of Omega adds: “ApSTAT's track record and experience in data mining give us a unique opportunity to add distinctive features to OpTime and to provide managers with a solution of unrivalled effectiveness.”

About Omega Optimisation: based in Montreal and founded in 2002 by a team of PhD's in operations research, Omega Optimisation develops state-of-the-art solutions to optimize complex business processes, especially in the area of optimal personnel scheduling. Users of Omega's products include the Labatt Breweries of Canada, the Fédération des producteurs de lait du Québec, as well as several hospitals and universities in the province of Quebec.

About ApSTAT Technologies: founded in 2001 by professors and researchers from University of Montreal, ApSTAT Technologies offers an expertise and a family of products and services enabling the technological and operational deployment of data mining solutions. Some of ApSTAT's clients include major insurers such as AXA Canada and National Bank Insurance, financial services firms such as Desjardins, and defence contractors such as Battelle.


Archived News »
Copyright © 2011 ApSTAT Technologies – All rights reserved – Website design by Xtube Multimedia