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Artificial Intelligence (AI)

Can Natural Language Processing Change the Future of Transportation?

Natural Language Processing Change Future Transportation. NLP offers actionable insights data, & this is changing the way transportation companies operate.

Published

4 years ago

April 12, 2020

TwinzTech

Can Natural Language Processing Change the Future of Transportation

Artificial Intelligence (AI) is already increasing efficiency in transport, making it more reliable, safer, and cleaner. Companies across many transportation and travel segments, such as airports, airlines, railways, and more, produce a considerable amount of data.

Natural language processing (NLP) is a branch of Artificial Intelligence (AI) that offers the ability to gain actionable insights from this unstructured data, and this is changing the way transportation companies operate.

Chatbots are becoming a valuable tool, helping to make services more efficient. The capabilities of digital assistants to understand human speech have improved significantly.

People are now able to talk to their vehicles like they would to another person – in a conversational manner without rigid commands. This offers an excellent user experience with greater convenience and smarter behavior behind the wheel.

Sentiment analysis is another benefit of natural language processing. It gives an understanding of how customers feel and can be used to improve their travel experience and much more.

Table of Contents

1. What is natural language processing (NLP)?

A considerable amount of data is available today, but much of it is unstructured data – information that is not organized or pre-defined. Human language is very different from programming language.

It has arbitrary rules, nuances, dialects, slang, etc. that make it difficult for computers to understand. Understanding single words are not sufficient as the context can completely change their meaning.

Advancements in the field of natural language processing help to make sense of unstructured data by interpreting context, meaning, sentiment, and intent. It allows humans and machines to interact in much the same way as human beings converse with one another. Some NLP examples used daily include spam filters, auto-complete, sentiment analysis, and spell-check.

2. More efficiency with the use of chatbots

Chatbots are relatively simple machines that can follow a relatively structured conversation for a specific task. They are being used in many ways in the transportation industry. Logistics and supply chain owners are delegating many detail-oriented and repetitive tasks to them.

For instance, chatbots are being used to collect information and relay it back and forth between a driver and a dispatcher. If a driver arrives at a warehouse and finds that a shipment isn’t ready, he can report this and be notified when it will be prepared. Logistics managers waiting for the delivery can be advised that the driver will be late.

The driver receives an updated loading and delivery schedule, and he is also rerouted to avoid traffic congestion. All this is arranged by interacting with a chatbot. When a driver communicates with a chatbot by voice or text, the system uses inference models to “understand” how to answer questions related to shipping.

Whenever NLP is integrated into any transportation management system, it keeps track of and comprehends interactions. The system recognizes the behavior patterns of specific users and foresees what they require, which helps to save precious time.

AI-based systems and NLP technologies assist in working with significant volumes of unstructured data to extract critical information on dates, addresses, billing, and much more.

The parcel-delivery company, UPS Inc., has been using chatbots since 2016 to find locations, track packages, and get other information. Customers can interact with chatbots by using text or voice commands, thereby enjoying an enhanced experience.

3. Improved driver experience with automotive digital assistants

Some major automotive companies are already using automotive digital assistants powered by conversational artificial intelligence.

BMW and Mercedes are both using Nuance’s Dragon Drive AI, which is a hybrid of voice and natural language technologies. The voice interface uses speech recognition, natural language understanding (NLU), and text-to-speech technology. Dragon Drive AI enables drivers to access services and apps through voice commands.

For example, if you say “drive me to the Museum of Modern Art in New York,” your vehicle will take you there. You can find parking, the nearest gas station, and much more.

Simple in-car functions like selecting an address or a radio station use speech technology embedded in the car, independent from a data connection. For quick and accurate dictation or the latest information on points of interest, the power of the cloud is engaged.

Embedded and cloud-based technology are combined for optimal results. For those who don’t like talking, handwriting recognition is available. All-in-all, the whole experience is intuitive, flexible, and safe.

4. Improved passenger experience using sentiment analysis

Without sentiment analysis, data can be misleading, but using it can develop skills for passengers. Social sentiment can measure the tone of a message and assign a value or score to it based on several factors. Is a comment positive, neutral, or negative?

A spike in negative posts may provide an early warning of a service issue at a train station or bus station. The root cause of the problem can be uncovered and corrected.

Sentiment analysis enables airport companies to offer targeted services to specific users. For example, travelers in airports can not only be guided to the right gate in the airport but receive dining and shopping suggestions specific to their needs along the way.

Companies are even planning and designing airports by leveraging sentiment analysis to make better-informed decisions. The airports these companies build better serve stakeholders and travelers alike.

Social sentiment analysis can also help companies in the transportation industry to evaluate the health of their brand and understand how they stack up against the competition.

Understanding how a target market feels about a company and its services by analyzing overall sentiment can provide some valuable insights and improve customer experience.

5. A final word

Finding problems associated with delays and downtimes, removing errors, and reducing unnecessary spending are just some of the many benefits of using Artificial Intelligence (AI) in the transport industry.

The industry produces massive amounts of data from many different sources, including operating systems, customer interactions, mobile devices, weather reports, social media, and more.

Using natural language processing means this unexploited data can provide insights to precisely enhance model capacity, pricing, demand, revenue, customer sentiment, and more. Transportation firms can make more intelligent business decisions and forecast what they must do to stay competitive in the future.

Artificial Intelligence (AI)

WORM-Compliant Storage: Exploring Write Once Read Many (WORM) Functionality

This is sometimes referred to as write once, read many, or WORM, compatible storage. With a name like that, it’s hardly surprising that many need help understanding it.

Published

2 months ago

February 20, 2024

TwinzTech

Organizations generate an immense quantity of data, yet sometimes they need or want to preserve it in an unalterable format.

For legal reasons, a non-profit organization may desire to keep its financial information in this format regularly. An institution may desire to save graduation records in this manner in case the actual records are lost in an accident. Businesses may desire unalterable records to avoid tampering, which might cover up fraud.

This is sometimes referred to as write once, read many, or WORM, compatible storage. With a name like that, it’s hardly surprising that many need help understanding it.

We’re here to help you get a grasp on things. Let’s go!

Table of Contents

1. What Exactly Is Write Once, Read Many?

The simplest explanation is that it is immutable storage. You may write data to the storage device or medium just once. Following that, no one may legally alter the data in any manner.

CD-R discs are a basic kind of WORM storage. You may add data to the blank disk, but it will remain in that state indefinitely. You may damage or destroy the disk to prevent someone from accessing it, but you cannot modify the data contained in it.

WORM storage allows for repeated reads of the data. Assuming the disk or drive isn’t destroyed, there’s no practical limit to how often you can access the data.

2. How does WORM storage work?

There are two options for implementing WORM storage in your business. The first technique is hardware, which uses tape or a similar form of media that permanently stores data, making physical destruction of the WORM storage device the sole way to delete it.

Nonetheless, with many solutions migrating to cloud and SaaS services, selecting particular hardware might be challenging. However, many of these service providers now provide software-defined WORM solutions, which combine the flexibility of software with the strictness, security, and indelibility of hardware-based WORM.

Whether you utilize software or hardware to achieve your compliance objectives, the idea is the same. When someone writes data to a WORM disk, it remains there eternally. The assumption that you cannot alter the data on a WORM drive only refers to anything that has already been saved there; the ability to add new data is always available as long as there is adequate storage space on the drive.

Do you need WORM-compliant storage

3. Do you need WORM-compliant storage?

Unless your company works in the securities or healthcare industries, which are subject to SEC or HIPAA laws, there is likely no legal need to adopt write-once, read-many (WORM) compliant storage solutions. However, legal requirements are only one motivator for using WORM storage systems.

WORM compliant storage provides a key role in addition to regulatory compliance. For example, if you want to keep a safe archive of historically important documents, WORM storage is a wise solution. This guarantees that once data is written, it cannot be changed or erased, protecting the integrity and validity of critical documents over time.

Furthermore, in situations where internal workers may tamper with corporate documents, WORM storage adds an extra degree of protection. Creating immutable copies of papers makes it easy to check the correctness and validity of records, reducing worries about possible manipulation.

Likewise, WORM storage may serve as a protection for proof of trade secrets or intellectual property, providing a snapshot of data at a given point in time and preserving valuable assets from illegal changes or access. In conclusion, although WORM-compliant storage is not legally required for all enterprises, it provides essential advantages for data integrity, security, and crucial information preservation.

4. What are the primary advantages of WORM storage?

WORM technology protects businesses against many of the usual difficulties associated with data corruption and loss. The primary advantages of deploying WORM storage include:

Compliance With Industry Regulations

Using WORM storage helps firms comply with recordkeeping rules and laws. More than simply archiving data is required. Businesses must store their data in the right, unalterable format to comply with regulatory requirements and avoid significant fines and penalties.

Risk Mitigation for Poorly Archived Data

Companies must have a robust procedure for archiving all data. If information is needed as part of an audit or lawsuit and the required data is lost or damaged, difficulties (and penalties) will arise.

Better Information Security

WORM Storage secures precious and sensitive data and, more critically, prevents it from being doctored or changed. It guards against occurrences such as data being accidentally or purposefully manipulated.

Better Data Governance

WORM storage contributes to the present business-wide practice of rigorous and well-planned data governance. It also enables you to better adhere to the Electronic Discovery Reference paradigm (EDRM), a paradigm that describes the steps of the eDiscovery process throughout an inquiry.

5. Use Cases of WORM Storage

Professional content distribution includes financial records, police investigations, court testimony, computerized voting, and other applications in which data files must be safeguarded against manipulation or deletion, particularly when material is accessed, relocated, or transferred. Organizations transfer all data given over to the data investigation business onto WORM disks, ensuring that nothing changes beyond that point.

Transferring a read-only file across a network using encryption and passwords does not ensure that the file is original or untouched. Furthermore, it is usually preferable to enforce something in hardware rather than software since when the program is not operating, the data may be tampered with.

Corporate records
Financial and Insurance
Intelligence collection
Law enforcement
Electronic Voting
Court Proceedings
Medical Records and Devices
Public Records
Artificial Intelligence
Cyber-attack protection
IT security and log files

Conclusion

Write once read many compliant storage enables enterprises to safeguard information in a method that no one can tamper with. This may occur with something as basic as a CD-R or with software-based cloud storage.

The size of the data typically influences the medium used. You can keep a few papers on physical media without issue. Petabytes of data need a strong in-house storage ecosystem or a cloud storage provider.

If you decide to use a cloud storage provider, be sure to inquire about the retention term choices and redundancies.