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Sensors and Actuators embedded in the physical objects from roadways to thermostats – are linked through networks that churn huge amounts of data. We enable to you act on this information in real time.
A smart city enabled with IoT sensor networks would enable smart use of resources by using them only when needed, building and empowering systems that save time, energy, and money, and improve the overall quality of life.
We connect your machines, data, and people to streamline your operations and bring ground-breaking improvements to your overall manufacturing processes and productivity. Experfy experts have deep domain knowledge and skills to help you across the IoT application spectrum. Some of the IoT applications in manufacturing are:
IoT is an enabler to achieve improved care for patients and providers. It could drive better asset utilization, new revenues, and reduced costs. In addition, it has the potential to change how health care is delivered.
Petabytes of data are being collected from engineering, geological, production, and equipment sources, offering oil and gas companies unprecedented opportunities for better forecasting and understanding of the core business issues. Experfy experts can navigate through the influx of big data and help you capture it, manage it and extract insights that matter.
The amount of big data generated and stored by airlines is increasing exponentially. This data consists of full-flight data from on-board sensors, aircraft maintenance records, passenger data, and route schedules, among others. Experfy brings these disparate data sets together so that airlines may uncover valuable operational insights. The results can mean improvements in flight economics such as decreased fuel spend; improvements in the use of assets by providing prescriptive actions to recover effectively from disruptive events; signficiant reduction of unplanned downtime through real-time aircraft prognostics and recommended actions; and the optimization of customer service, capacity, operational costs, and maintenance costs.
Intelligent Transportation Systems are advanced applications that aim to provide innovative services relating to different modes of transport and traffic management and enable various users to be better informed and make safer, more coordinated, and smarter use of transport networks. Experfy deploys advanced analytics on a wide range of Intelligent Transport System technologies such as car navigation; traffic signal control systems; container management systems; variable message signs; automatic number plate recognition; speed cameras. Experfy also provides analytics for advanced applications that integrate live data and feedback from a number of other sources, such as parking guidance and information systems, weather information, and bridge de-icing systems.
Given the high costs of industrial assets, extending their life cycle by harnessing the power of prognostic analytics for predictive maintenance is essential to maximizing your return on this substantial investment. Leverage your industrial data to lower maintenance costs, increase safety, raise productivity, and improve profits.
Perhaps no aspect of the Big Data revolution encapsulates its scope better than the rise of the Internet of Things (IOT). Tiny sensors, dramatic increases in storage capacity and processing power, real-time analytics of unprecedented sophistication, and the ability to immediately translate that data into meaningful action—they are all reflected in the emergence of the 50 billion mini-machines that we call the Internet of Things. The almost unlimited data that we are able to gather from IOT devices, particularly the digital control systems that manage them, can be used to predictively maintain system operations so as to optimize asset performance. Specifically, Experfy can help you to reduce the strain on industrial assets, extend their lifecycle, improve their productivity and generate enormous cost savings so as to optimize their performance in real-time.
Those cost savings are non-trivial as the use of predictive maintenance to improve the efficiency of control systems by just 1% has been estimated to generate $2 to $3 billion in savings annually for airlines; $4 to $5 billion annually for utilities; $5 to $7 billion annually for oil and gas companies; $4 to $5 billion annually in health care; and $1 to $2 billion in the transportation sector.
The challenge has always been in how to mine the data and analyze it for effective deployment. Experfy’s industry leading data scientists, consultants, and proprietary technology can help you to overcame this challenge and reap the full benefits of harnessing your industrial data to enable predictive maintenance operations on your control systems. We can partner with your engineers, managers, and ICT staff to develop a solution that is tailored to your specific needs and objectives as they relate to the requisites of competitiveness in your specific industry. Together we will maximize your profits while increasing the safety, efficiency, and productivity of your operations.
Experfy consultants and data scientists have deep expertise in artificial intelligence, machine learning, prognostic analytics and operations research—the pillars of predictive maintenance in IOT control systems. Leveraging their talents, Experfy has created an advanced machine learning platform for prognostic analytics that can mine data from digital control systems and provide real-time insights for predictive maintenance. To be precise, prognostic analytics give a perspective or foresight on what is going to happen when and with which probability by assessing the extent of deviation or degradation of a system from its expected normal operating conditions. In calculating the future performance of an industrial system, prognostic analytics are superior to predictive analytics because they are more effective with the closed, constrained systems, self-contained systems that are typical in the industrial sector. Most importantly, prognostic analytics are essential to predictive maintenance because they answer the fundamental questions: When should I expect a malfunction? When should I react? You can then intervene with a pre-devised solution instead of responding to an emergency whose deleterious impact is compounded by inadequate preparation. The opportunity benefit of preventative maintenance is profound in that your personnel will no longer have to spend their time collecting and aggregating data from myriad industrial systems. The time dimension that is intrinsic to our prognostic analytics solutions makes them uniquely effective in the industrial context where time is money.
The basis of our approach is to analyze the industrial data from your control systems and to identify the bottlenecks that need to be addressed to enhance performance, increase safety, lower costs and maximize profits. Which aspects of your system are most likely to fail and when? What kind of solution should you have at hand and when should you be ready to deploy it? Which staff should be ready to engage in preventative maintenance and when? How do you iteratively refine your control system so as to minimize failure rates and prolong the life of your system? How do you quantify the benefits of preventative maintenance to make a business case to senior management?
Using our proprietary platform, our data scientists can leverage pattern recognition and machine learning techniques to help your staff to:
The utility of our platform and service offerings can be measured in terms of reduced staff time spent maintaining systems; reduced expenditures on maintenance; increased productivity; reduced down time of industrial systems; and reductions in days lost by your workforce to industrial accidents. Your customers will also have greater systems. Collectively, these metrics are the underpinnings of greater profits.
To assist our consultants and data scientists in developing a customized solution for you, please provide the following information:
Experfy provides the world’s most prestigious talent on-demand
Strategic Enterprise Executive at DIGICERT
Managing Director of Innovation Strategy at Cisco Systems
Cloud & IoT Evangelist, Hitachi
Tell us about your business problem and we help you define it further.
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