Keeping aircraft and rail transport systems up and running requires a vast organization of equipment maintenance, safety regulations, schedule optimization, and management of staff and passengers. To be successful, a variety of information must be collected on many levels. The emergence of the IoT and telematics (discussed in our last blog) has recently enabled development of real-time monitoring and analyzation of integrated information in almost every faction of logistics and transportation. This technology allows consolidation of Big Data and is currently growing in use. The initial investment of system overhaul may be a hurdle, but the long-term benefits will ultimately outweigh the costs.
Airplanes have long utilized sensor packages that monitor and analyze usage data such as performance, fuel consumption, and vibration to create optimized maintenance schedules. The integration of telematics and the IoT with these systems can send data in real-time to a center where it can be filtered, stored, and analyzed. Relevant data can then be sent to the appropriate organizations for follow-up response. For example, if a part indicates imminent failure, the system would relay a signal to notify the equipment manufacturer, and the manufacturer would ship a new part from the factory before actual failure. In this way, maintenance can switch from a reactive to a proactive model, saving downtime and costs, and increasing safety.
For examples of real life applications in airlines, see the blog supplement.
Similar upgrades are occurring in railway management. Older infrastructure is being replaced with systems that interconnect trains with each other and with central communication hubs and data control centers. These systems improve track utilization and safety, and allow optimization of scheduling and maintenance. Examples of smart-connected rail include:
Generating Actions from Big Data
Data collection, storage, and analysis can provide information that can be used to diagnose and fix, as well as to predict, prevent, and strategize. Real-time, descriptive data from monitoring can be incoporated with AI to automate analysis and provide a highly efficient delivery of prescriptive information. Combined with machine learning, systems can perform appropriate actions in the absence of a person. Data can be quickly analyzed and employed to correct a problem, or prevent one from occurring.
Utilizing Big Data for aircraft and railways can be taken further to examine long-term trends in how to route traffic, best practices in maintenance, serving passengers, scheduling, etc. This requires storage of event data and its metadata. Trends over weeks, months, and years can be evaluated, and intelligent strategic policies can be implemented. Such storage and analysis requires the right software to create logical and relevant data storage, retrieval, and analysis based on chosen parameters.
Publish Date: December 21, 2017 6:32 PM
Agara is an autonomous virtual voice agent powered by Real-time Voice AI. It is designed to have intelligent conversations with your customers, vendors, and partners without any assistance from human agents. It can handle a wide variety of calls including inbound customer care calls, outbound lead generation calls, appointment scheduling calls, and overdue payment recovery calls.
Agara is available for several industries including banking, insurance, retail, e-commerce, airlines, and telecom. Powered by advanced Real-time Voice AI that understands speech in real-time, automatically determines the right process to follow and guides the caller along in the process with natural conversation.
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|2.)||Call Center Studio|
Call Center Studio
Call Center Studio is the world’s first call center built on Google and is one of the most secure and stable systems with some of the industry’s best reporting. It is one of the most full-featured enterprise grade systems (with the most calling features, one of the best call distribution, outbound dialing features and integrations—including IVR, AI Speech Recognition, blended inbound/outbound calling and includes Google’s new Dialogflow and Speech API. Call Center Studio is the absolute easiest to use (with a 10 minute setup), and is the price performance leader with lower equipment cost and less setup time.
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|3.)||Call Tracking Metrics|
Execute automated actions based on words spoken by your customer.
Our intelligent word detection and transcription tools make it easier for you to decipher the content of your customer conversations and automate action based on those insights.
Transform the audio of your calls into speaker-organized scripts so you can easily search your call log for specific words from a conversation, or automatically detect when words of intent are spoken by your customer.
Listen in on and highlight common patterns in order to execute triggers to initiate a new action or workflow, such as emailing a manager if the word “cancel” is spoken on a call. You can also set up to automatically redact content from a transcript, such as sensitive health information transmitted on a call.
Daisee builds technology that empowers people to solve problems by making interactions simple and smart so they can have a more significant impact, be more productive and be better at what they do. We believe incremental improvements carry huge potency and provide exponentially greater change for the better.
Genesys customers can now automate risk and quality management using Daisee’s speech and sentiment analytics and remediation workflow software. Daisee helps improve customer experience, ensure regulatory compliance, identify missed commercial opportunities & training requirements as well as provide valuable insights back to the business directly from the frontline – the true voice-of-...
Advanced speech recognition and natural language expertise that routes callers by simply asking ‘how can I help you?’. It allows customers to use their own words to ask for what they want and steers them to the right place.
Menus are eliminated altogether and contact centres can use a single inbound telephone number.
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An all-inclusive speech analytics application that enables you to visualize your audio using state-of-the-art speech recognition, transcription, and text analytics technologies.
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InTone Suite - Emotion Detection via Voice Analysis
InTone™ is a voice analysis tool geared to detect genuine emotional and cognitive reactions regardless of the speaker’s language or chosen intonation.
It integrates into existing contact center environments and provides realtime indications of both client and agent emotional reactions throughout all ongoing calls. This unique set of indications assists managers and call center representatives to truly understand the client, improve call center performance, easily detect angry calls, elevate training efficiency and provide a tailored customer experience in every single call.
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|8.)||Voci Technologies Incorporated|
V-Blaze Speech to Text
Our GPU-accelerated, AI-based technology enables you to deliver greater insights to the contact center by transcribing audio into analyzable text.
- Transcribe large volumes of recorded audio quickly
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Voxjar is your one-stop-shop for driving better phone calls with your customers. We're a modern Conversation Analytics and Call Coaching Platform.
- Custom Charts and Dashboards give you the freedom to analyze calls from the highest level down to the details of each conversation.
- AI-Powered Speech Analytics transcribes, searches, and analyzes your reps' phone conversations, at scale.
- Quality Assurance and Call Coaching tools let you evaluate and improve agent performance with a human touch.
- Long term recording storage for historical analysis
All of these together provide the holistic, easy-to-use software that you need to manage a modern call team and create better con...
|Intelligent Technology in Logistics and Transportation – Airlines and Railways||December 21, 2017 6:32 PM|
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