By providing everyone in every business with the capability to simply and intuitively model and establish
forecasts and prescriptive analytics of their key target indicators.
Predictive Layer's automated artificial intelligence machine learning platform extracts dynamically all the know-how embedded in the enterprise internal big data and all the available open data of the industry to produce the most accurate and reliable prediction of the upcoming future.
As big data and open data are now making available most of the key performance indicators of all the industries, automated artificial intelligence and machine learning are unique capabilities to measure unidentified correlations and compute accurate forecasts derived from these correlation.
By doing so, Predictive Layer provides unique capabilities to its customers to bring massive disruption in their industry sectors.
You have experience in Machine Learning technics, Times Series Forecasts or Industrial process optimization & Operational research?
You convert A.I. mathematics into real software for realtime, scalable & resilient operations to respond industrial critical process and risk management?
You applied it to real use case in operations and markets, for energy, utilities, industry, retail, transport or freight sectors.
You have hands-on experience developing, deploying or managing operating cloud-based services SAAS applications.
You have been exposed to one or several IAAS & PAAS infrastructures such as AWS, GE-Digital Predix, IBM-BlueMix/Watson, VMware...
You are experienced in finding and structuring and collecting different data streams (weather, finance, industrial signals, social events).
You have experience in defining, managing and delivering Predictive Analytics & Operational Optimization services for Enterprise Customers in Energy, Industry, Retail, Catering, Transport sectors.
You have led & deployed projects from Proof of Concept and Pilots to live operations in a industry critical risk management context.
You have experience in defining, prosing & selling Predictive Analytics & Operational Optimization solutions for Enterprise Customers in Energy, Industry, Retail, Catering, Transport sectors.
You sold projects and services from Proof of Concept and Pilots to live operations in a i ndustry critical risk management context.
You believe in the opportunity of Automated Predictive Analytics to transform sectors like Energy, Industry, Retail, Catering, Transport & SmartCities.
During the leading 2018 tradeshow for innovation in Paris, Viva Technology, Cisco and Predictive Layer jointly present how to Automate and Optimize Operations for Retail, Catering, CPG, Airports & Transports.
Business performance is directly improved by forecasting future demand and supply based on multiple variables of influence.
Wait-lines are reduced by processing the Cisco LAN/Wifi data records. Furthermore, Workforces, Inventory, Supply chain can be minimized, Waste avoided; for the best benefits of the clients and the quality of the those services. Please visit Cisco & Predictive Layer @ Booth L30-012.
Accenture invited Predictive Layer to share its vision of the AI & Machine Learning market during a
panel of industry specialists at Hannover Messe 2018:
On Monday 23 April 12.00 @Hannover Messe - Hall 6, Booth H46
AI, the rise of product Reinvention: It Starts with AI.
Building Smarter Products in the New, The Conference will be moderated by Mr Eric Schaeffer, MD Accenture Product Industry X.0.
To shape the view of AI in Energy & Industry sectors, the roundtable will include executive representatives such ABB Chief Digital Officer, Schneider Electric SVP Strategy, Dassault Systems VP Industry and Predictive Layer CEO.
Predictive Layer's automated Machine Learning services are available on Schneider Electric EcoStruxure Exchange Extranet.
Predictive Layer is presenting its solution at Schneider Electric Innovation Summit in Paris on April 5 & 6th, 2018.
Predictive Layer is bringing its innovative automated machine learning forecasting solutions to enable, lead and accelerate the power-grid evolution, and its transformation toward new energy paradigms. Predictive Layer is working in strategic partnerships with SCCER FURIES Research and Industrial partners on these major developments.
Predictive Layer is featuring and demonstrating its solutions to optimize purchase and trading of energy on France and European power and gas market.
VivaTechnology 2017 is a hub for the world�s innovators, tech-lovers and pioneers of the future.
Visit Predictive Layer at Cisco Labs booth - C12-021 - Automated Predictive Solutions for Retail & Supply Chain & Energy
Come & see our presentation Thur. June 16th - 12pm, Booth Paris Regions G34!
@Vivatech, 30'000+ Corporate Executives, Venture Capitalists, Entrepreneurs and other investors will join and discuss around the impact of new technology and innovation on their business and on the society.
After its selection by GE in Jan 2017 and an intense cooperation with GE Digital's foundry teams, Predictive Layer has delivered Automated Energy Load Forecast over GE Digital's Platform, PREDIX.
Predictive Layer completed the integration of its automated forecasting services and Open Data Services over GE's industrial internet platform, Predix.
Predictive Layer & GE are ready to roll-out scalable, industrial quality, automated predicting services for Renewable Energy Production, Smartgrid Net-consumption and Industrial System optimization as well as predictive maintenance.
You want to transform Enterprise & Industries with Artificial Intelligence for Energy, Utilities Industry, Retail, Catering, Transport and many more...
Join our Predictive Layer team,
Send us your resume and let's meet!
Predictive Layer présente et d�émontre ses solutions d'optimisations d'achats et de trading de l'énergie sur les marchés Gaz & Electricité européens.
VIVA Technology brings the world's most innovative startups together with the major global players in digital transformation. This new international event introduces 5000 startups with top investors and companies to grow businesses and shape the future.
Predictive Layer will participate to the event, as one amongst the most innovative startups to watch. Join us on our booth to discover the power of our solutions.
For three days, starting 30 June, an expected 30000 entrepreneurs, corporate executives, venture capitalists and other investors will join in a purpose-build environment in Paris.
The goal: to provide a real-time platform for collaboration and a high-level stage for discussions around the impact technology has on both businesses and society.
Nowadays, data exploitation with predictive analytics is improving the industrial processes from machines developments to components inspection, through production monitoring.
Our chief data scientist & 'Why so noise?' team (2 international mates) been ranked 4th position of the Leaderboard.
Congrats to them!
Conference gathering leading energy providers and selected solution providers to discuss and define Next Generation Utility networks and Smartgrids.
To improve energy efficiency, Switzerland focuses on the development of new technologies.
What are the contributions of these innovations?
With what skills, for what performance?
Crystal solution from Predictive Layer has been awarded at the ERDF Innovation Challenge - 2015:
Electric SmartGrids, in the category Big Data & Data Analytics for its applications of Predictive Maintenance and Forecast of Consumption/Production in the Smartgrids.
Crystal is implementing unique Automated Machine Learning algorithms for times series and temporal profiling developed by Predictive Layer.
Our chief data scientist been ranked 9th position of the Leaderboard (mixed team & individual).
He has been ranked 3rd of the individual participants.
Congrats to Mohamed!
Conference for utilities, public administration & government, academic and clients.
Predictive Layer & Cisco From Big Data to Smart Data - Accurate and reliable forecasts thanks to machine learning.
Predictions & Deep Learning.
How Predictive analysis & open data can change the dynamics of your business.
Every day, we make use of social networks, mobile phones...
Generating thousands of data.
How then use this mass of data to simplify your life?
How to respect the basic ethical rules to ensure the accession of the users?