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A.I & Machine Learning

A.I & Machine Learning solutions outsourcing in Vietnam

Did you know? 91.5% of leading businesses invest in A.I to effectively digest their big data. And the number is growing bigger by the year as businesses witness the potential of new technology that optimizes outcomes, minimizes downtime, prevents inaccuracies, and makes smart predictions.



At Dirox Labs, we provide A.I and Machine Learning solutions to leverage processes for strategic advantages. Our team of consultants, data scientists, machine learning engineers, and software developers is prepared to provide the best experience adapting the new technology to your business. Increase customer satisfaction, gather insight through data analysis, and more.



There are endless possibilities with A.I and Machine Learning. Tap into the potential markets, facilitate the operation process, and achieve unthinkable outcomes with Dirox!

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Introduction to A.I & Machine Learning

Many turn skeptical about adding new technologies to their business, but it may be because they are still unclear on what it is and how it reconstructs productivity. Do you know what A.I and Machine Learning can do for you yet?



In the past decade, humans have devoted more of their time trying to understand machines. They ask what was thought to be silly questions, but have changed the whole perspective towards technology, “Can machines think?” Today, we have the answer. Yes, they do, and it was made possible thanks to Artificial Intelligence.



Artificial Intelligence, or A.I, has gained increasing attention from the world. Scientists have learned to replicate human intelligence and give it to machines, but making machines think doesn’t capture the whole essence of A.I. However, advancements in machine learning and deep learning are taking the world by storm.



Machine learning falls under the umbrella of A.I, along with deep learning and neural networks, which are all sub-fields of Artificial Intelligence. Machine learning requires more human intervention and labeled data to learn while deep learning can digest the raw data and categorize it without help.


Dirox Labs provides Artificial Intelligence as a Service (AIaaS) and develops AIOps and MLOps to help you optimize business productivity.

Our Company’s Offshore A.I & Machine Learning Services

  • AIOps development
  • MLOps development
  • Custom algorithms
  • Conversational services (ChatBots & Virtual Agents)
  • Speech translation
  • Workflow / Process automation
  • Predictive analytics
  • Pattern recognition
  • Anomalies detection
  • Automated code reviews
  • Customer recommendations for Online Shopping
  • Data extraction & analysis

Why Use Outsourced A.I & Machine Learning Services?

Applications of A.I & M.L

Why Choose Dirox?

Pioneers of the field

Dirox Labs was created to study and help businesses transform with the continuously evolving technology. We have an assembled team of unmatched talents who are development experts. 

Top-tier consultation

Still don’t get what this new technology is all about? Reach out to us to talk to our experienced consultants who will help you understand what it is and how it can benefit your business!

Quality assurance

With years of experience working with clients from various industries, the QA experts at Dirox skilled in manual & automated testing will guarantee a quality delivery on your project.

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Your Questions about A.I & Machine Learning

Deep learning is a part of machine learning, though it is more intricate and advanced. Machine learning is when a computer learns without being explicitly programmed. It learns to think and act based on the data fed to be processed. The more data analyzed, the more accurate the informed decisions are made. Deep learning is more sophisticated and requires less human intervention. With deep learning, computers think more like a human and make intelligent conclusions on their own. The data fed to deep learning machines are more unstructured, consisting of images and videos. Often, the purpose of deep learning is when scientists have data they are unsure of and rely on computers to analyze and pick up on delicate details to inform their understanding or even predict future events.
Artificial Intelligence is a new field with ongoing research. They can be programmed with many different languages including Java and Python on engines like SageMaker Studio and Azure ML Studio. This is a list of the latest Artificial Intelligence & Machine Learning technologies throughout the years of research: Natural language processing, speech recognition, virtual agents, decision management, robotic process automation, AI optimized hardware, machine & deep learning, and so on.
A neural network is a type of machine learning process that teaches computers to process data similarly to a human brain. It helps computers undergo deep learning - model relationships between non-linear input and output data - to make intelligent decisions with little human assistance. Below are four important applications of neural networks. Computer vision: This is the ability of computers to recognize and memorize visual information such as images or videos and recall it later. This is used in self-driving cars to recognize the road and signs. Speech recognition: The computer learns speech patterns, tone of voice, pitch, and accent. It is most commonly used by virtual assistants such as Alexa and Siri. Natural language processing (NLP): This helps the computer learn about text and languages, and gather insights on text and data and is usually implemented in chatbots. Recommendation engines: By tracking user activity, the computer can derive personalized recommendations as seen on video streaming platforms and e-commerce websites.
Data Science is the art of transforming unstructured data into insights and information. It often uses statistical techniques, design techniques, and development methods. Data science produces facts, numbers, and statistics. Artificial Intelligence is concerned with more human-like data, it studies the algorithms, development, efficiency, and so on. It is built to replicate human cognition to a certain point, and the ultimate purpose is to remove any human input. Data Science is often used when: identifying patterns and trends in data, statistical insight, requiring fast mathematical processing, predictive analysis, or data analysis is necessary, Artificial Intelligence is often used when: requiring precision, making fast and logical decisions, involving repetitive tasks.