84% of enterprises see big data analytics changing their
industries' competitive landscapes by 2015.
Accenture/GE
89% believe in the risk of loss of share if no serious
action is taken.
Accenture/GE
By 2016, 70% of the most profitable companies will manage
business processes using real-time predictive analytics or extreme collaboration.
Gartner
Average accuracy
last quarter
Daily forecasted energy consumption
Predicting models
in production
Customers trusting Predictive Layer
every day
Unique combinations of machine learning algorithms and artificial intelligence are used to automatically correlate :
Predictive Layer provides accurate forecasts of your key business indicators, so that you will leapfrog competition by taking the right market action earlier.
Profiling and targeting customers at risk, and customer future intents to enable churn reduction, cross sell, upsell.
Machine learning will learn from all your big data and identify direct opportunities for new revenue or cost reductions
Connect and learn from market available exogenous data of your industry and anticipate the trends with targeted actions
Just focus your team on your business; the Predictive Layer platform has automated the mathematics and the IT systems required for predictive analytics.
Based on your business requirements, Predictive Layer platforms can be deployed in your private IT context (on premises) or in a secured cloud based infrastructure (in the cloud).
Predictive Layer services provide automated prediction
analytics.
Without requiring mathematical expertise, our clients can build their own models to forecast their
core business indicators.
The platform also gives access to the open data of the relevant industry sector so that the 'machine learning' learns from all the main market dynamics to further develop the best action plans.
Automated Prediction platform with unique machine learning algorithm to predict time series. Crystal learns from your signals and from exogenous data influencing them to predict their short evolution in time.
Modeling platform for Financial Markets. By learning from financial and economic open data sources, Genius automatically forecasts supply, demand, transformation and the market trend impact on key financial indicators.
Real-time forecast of retail business, customers, inventories by correlating historical business records with influencing open-data to optimize resources allocations, inventory and logistics for each product category.
Predictive Layer is cooperating with Schneider Electric Exchange, an open ecosystem dedicated to solving real-world sustainability and efficiency challenges, to deliver advanced predictive analytics services to renewable and commercial energy management providers. Predictive Layer can now offer and deploy its automated predictive services globally via the worldwide digital ecosystem developed by Schneider Electric and leading energy market partners.
“Schneider Electric Exchange enables our predictive analytics services to reach more international enterprises and utilities” said Olivier Cognet, CEO of Predictive Layer, a Switzerland-based company that combines machine learning and artificial intelligence to provide predictive analytics and forecasting solutions.
Visit Schneider Electric Exchange open ecosystem.
Come and see our presentation "Automatic predictions thanks to AI and Machine Learning" in real customer cases.
Get a demonstration of our automatic forecast solutions.
Our team will be there to work with you on your business opportunities.
Sign up for free here.
Meanwhile, you will find more information about retail use cases.
Come and see our presentation "Using AI and Open Data to optimize sales price, supply chain and purchasing" in real customer cases.
Get a demonstration of our pricing and automatic forecast solutions.
Our team will be there to work with you on your business opportunities.
Sign up for free here.
Meanwhile, you will find more information about our industrial use cases.
On December 13th at IDC's conference in Paris on Big Data and Analytics, Predictive Layer, a Silver Sponsor of the event, will present an overview of how to use your company's own Big Data enriched with external data sources to improve short-term forecasts or improve the company's pricing approach.
This will include examples of how to move rapidly from a Proof of Concept (PoC) to deployment at industrial scale, which key success factors to consider and what type of results might be expected.
The presentation will be illustrated by real-life customer examples that demonstrate specific benefits and lessons learned.
Come and join us at the event on Thursday, December 13th, at the Capital 8, Paris 8ème.
Sign-up for free.
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