Listly by OneClick IT Consultancy
Source: https://www.oneclickitsolution.com/
Machine Learning raises many questions: is it a complicated word to describe the same computer programs that we have been using for decades? Or is it a mystical computer capable of learning everything? More importantly, why is this of interest to your business? Light on this small revolution at the crossroads of big data and artificial intelligence.
Improving Analytical Capabilities Through Machine Learning
The most concrete way to define machine learning is to compare it with traditional computer programming. In traditional computer programming, specific instructions are written and executed by the computer to process the inputs supplied to it and produce an output. For example, an input could be a credit card request and the program would be an instruction to process that request, extract useful information, compare it with other data, and produce output.
Conversely, a machine learning program would not have a specific set of instructions for accepting or rejecting requests, but would learn from the data provided as input and would gradually and automatically improve its performance thanks to the experience acquired.
Machine Learning - a subset of artificial intelligence - improves its performance by analyzing a very large amount of data. It can fine-tune its parameters to adjust to the new data it receives, gradually improving its performance.
Here's How it Helps in Different Industries:
Automotive
In the automotive sector, machine learning combined with ever-increasing computing power makes it possible to identify in real-time any obstacles that arise on a road, an essential skill for developing autonomous vehicles. This technology also allows predictive maintenance to be carried out on cars and other trucks in order to minimize accidents.
Different Factories
In factories too, machine learning makes it possible to adjust the maintenance schedule according to the data collected directly on the equipment, to avoid as much as possible breakdowns and the significant loss of profit that they generate for the company. Data analysis also makes it possible to optimize the complex production cycles of certain factories.
Consumer Goods
By dissecting data collected in-store on consumer behavior, supermarkets can, through machine learning, reorganize their shelves to boost sales. Machine learning also gives distributors the opportunity to optimize their inventory management.
Finance
In finance, this technology makes it possible to flush out fraudulent transactions by sifting through the bank data of buyers, but also to offer them ultra-personalized financial products, by compiling information collected through different channels.
Agriculture
Through machine learning, farmers begin to customize their cultivation techniques based on weather data and the unique characteristics of a given portion of their land. The objective is to produce more while polluting less.
Energy
Using sensors installed on their infrastructure and machine learning technologies that process the data collected, energy companies can predict in advance when their wind turbines (for example) are at risk of breaking down and send a maintenance agent.
Health & Pharmacy
Some software is able to diagnose a disease by analyzing the results of a scanner, a biopsy, or other types of medical tests. In the pharmaceutical sector, this branch of AI makes it possible to optimize clinical trials by selecting patients in a more relevant way. Laboratories will also be able to optimize their product launch strategies by combining a large amount of market data with the results of previous marketing operations.
Public Sector
Optimization of the allocation of resources for a harmonious urban development which maximizes the quality of life, improvement of public policy decisions thanks to the analysis of large datasets. The State also has advantages to be drawn from the use of machine learning.
Media
The media can, thanks to this technology, compile data from different sources about their audience and offer their advertisers more personalized and therefore more lucrative advertising space.
Telecommunications
Telcos will be able to optimize the very heavy investments they have to make to maintain their infrastructure by analyzing the data collected in the field by sensors. Machine learning will also allow them to create intelligent voice assistants, capable of handling the majority of calls that are now managed by employees in their call centers.
Transport, Logistics, Travel
Machine learning allows players in the transport world to optimize their pricing thanks to a real-time analysis of demand, as shown in the graph below. In the world of travel, this software enables tour operators to offer tourists ultra-personalized offers.
Why Machine Learning Helps Businesses Succeed?
The Volume of Data: More than ever before, we have access to very large amounts of data - structured but also unstructured (text, audio, images, and video). We can use this data to build systems that can learn from data.
Processing Power: The accelerated development of computer technology, including the massively parallel processing of GPUs (Graphics Processing Units) and cloud computing, has made processing large amounts of data faster and cheaper.
Open Source Software: open source communities focused on the development of machine learning programs and the provision for the learning of large amounts of data in open data contribute to the acceleration of the development of machine learning. For example, it is possible to use open source machine learning packages to process large amounts of image data to recognize specific images.
Many Innovation Opportunities Thanks to Machine Learning
Machine Learning carries immense potential for creating products and services that are useful to society. Here are a few examples:
Machine Learning is not a miracle recipe but has the ability to help companies develop effective products and solutions to generate new sources of income. It opens up many horizons to better understand the data and make actionable recommendations that are more relevant than those resulting from human intuition alone.
To Conclude
As a Machine Learning and Artificial Intelligence app development company, OneClick offers a massively parallel platform capable of delivering the performance and extreme speed of 100% flash technology to billions of objects and files. This can help speed up obtaining strategic information. Connect with us to leverage the benefits of Machine Learning for your business.
In 20 years, new technologies and the proliferation of specialized websites have changed the way we travel. Almost 74% of customers plan their trips, book a flight, and stays online. All thanks to the easy availability of the Internet, smartphones, and various travel app solutions which are used by 45% of travelers. A decade back, this was done through travel agents. Today, with a virtual reality or augmented reality app, you can get a 360-degree view of the hotel or city before your visit.
Gone are the days when you had to rely on a travel agent to plan your next vacation. Artificial intelligence is now infiltrating every aspect of the travel industry. Thanks to this technology, you can obtain a personalized and intelligent travel solution, adapted to your needs.
For instance, Google Flights is already taking advantage of AI to predict flight delays and by announcing them even before airlines. But it's only a fraction of what AI can do. From data processing to improved customer service, this technology can accomplish a lot.
Let's see how artificial intelligence is changing the travel industry:
Smart Travel Search
The increase in productivity now begins with finding the hotel, and the use of sophisticated AI has enabled the customer to access more data than ever before. Booking sites like provide on-demand travel services and have developed algorithms that will connect travelers with their agents online. This team then helps travelers find and book flights, hotels, and cars. In addition, travel portal solutions equip their agents with extraordinary technology to facilitate research and decisions.
Improve Business Travel Service
Behind the scenes, everyone in the business travel industry, from carriers to agencies, to companies that make reservations for their staff, everyone wants to see better performance. But this should not be done at the expense of ease of use or flexibility.
A good travel portal led by AI can be fed with important data like budget allocations, corporate credits, and even pre-approved credit designed by the company's HR department. These features will ensure that users stay loyal to your booking engines or sites.
Virtual Customer Service
AI is also used to create a better experience during the trip. Chatbots and virtual assistants provide solutions based on natural language processing (NLP). This feature helps the chatbot make relevant suggestions by understanding the context for the questions your customers ask.
Royal Caribbean Cruises has incorporated chatbots and taken the implementation of AI even further with its onboard AI. It offers RFID luggage tags, robotic bartenders, and even virtual balconies.
Skyscanner chatbot is another example of the AI technology used to improve customer service in the travel industry. It scans external sources to enable better planning and flexibility when changing travel plans. It also makes suggestions and answers questions based on hotel room availability, weather, traffic conditions, and transportation options.
Enhance Recommendations
The AI algorithm provides tailor-made travel recommendations by identifying trends in user activity on social media and comparing it to internal data from like-minded users.
Travel recommendations based on the person, the use of images, and personalized texts are now gaining ground to encourage travel. With 81% of people who think that intelligent machines would be better able to process data than humans, there is also a certain level of confidence in this area on the part of consumers.
Flight and Hotel Prices Forecasts
The prices of flights and hotels are dynamic and vary in real-time, depending on the provider. No one has time to manually track all of these changes. This is why smart algorithms that monitor and send timely alerts on the most attractive offers are currently in high demand in the travel sector.
Armed with this information, an AI-based travel portal can create a self-learning algorithm, capable of predicting future price movements based on a number of factors, such as seasonal trends, growth in demand.
Handle Delays and Cancellations Better
Not only are passengers affected by travel disruptions, but airlines suffer significant losses every time a flight is canceled or delayed. Amadeus, one of the main global distribution systems (GDS), has set up a timetable retrieval system, aimed at helping airlines to mitigate the risks of travel disruption. This tool helps airlines to respond instantly and effectively to any threat or disruption to their operations.
Finally, we can expect a more significant development of conversational AI in the industry. With voice search, finding and booking trips could be faster and easier than ever.
The transformation of the travel and hospitality sector will turn into an activity focused on experience and on the enhancement of assets. The large-scale adoption of AI will inaugurate a new customer experience and set a benchmark that other sectors can imitate. Fasten your belts because AI is all set to redefine the travel industry.
Have you gone digital with your travel business? Or do you have a run-of-the-mill website? It's time you step ahead of your competitors by leveraging the power of AI. Using emerging technologies in the travel industry, you can build a brand image and enjoy customer loyalty. All you need is the best travel technology solutions provider company. We at OneClick IT Solutions have nearly a decade of experience in developing travel portal solutions to boost your business. Connect with us today for a no-obligation quote.
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