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Top Deep Learning Companies in Vietnam


3 Companies

profile

NeurondAI

No Reviews

Neurond is an artificial intelligence company that provides businesses with customized AI solutions. Founded in 2020 by AI experts with 20 years of experience in this field, Neurond is committed to helping businesses harness the power of AI to transform their operations and drive growth. What sets Neurond AI apart is its deep understanding of client’s businesses and the ability to deliver solutions that meet their specific needs. We will work alongside you to turn your business ideas into reality. Neurond AI provides world-class Artificial Intelligence and Data Science solutions to companies around the globe. Our services include AI, Business Intelligence, Data Engineering, Data Science & Analytics Solutions, and MLOps.

  • dollar

    $25-49/hr

  • user

    10 to 49

  • calender

    2020

  • location

    Vietnam

profile

GEM - Global Enterprise Mobility Corporation

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Global Enterprise Mobility (GEM) is a leading provider of excellent IT services in Vietnam. Founded in 2014, GEM has created diverse service offerings, which include application development & maintenance and emerging tech development - namely AI and Big Data solutions. GEM has been the proud IT partner of businesses of all scales and industries from all over the world - Japan, Singapore, New Zealand, South Korea, the US, and the EU. Our clients is empowered by GEM's CMMI-appraised delivery process and extensive technical strategy consultancy service. As a leading IT service provider, GEM’s service stands out with three key benefits for businesses - Competent IT personnel: Tech-savvy professionals experienced in handling projects of all scales and various industries - Extensive tech-stack: Read More

  • dollar

    <$25/hr

  • user

    250 to 499

  • calender

    2014

  • location

    Vietnam

profile

GEM Corporation

No Reviews

Global Enterprise Mobility (GEM) is a premier provider of cutting-edge IT services with a view to spearheading innovation in Vietnam's tech landscape. Founded in 2014, GEM has become a distinguished and trusted tech partner of global clients thanks to our diverse array of services tailored to meet their evolving needs of our clients. GEM offers key services: - Application Modernization - Technology Transformation - Cloud Transformation and Managed Services - Data Platform Development and Data Migration - System Integration - BI & Analytics - AI Solutions Why Choose GEM? 1. Innovative Solutions: GEM possesses an extensive tech stack and best industry practices to deliver innovative solutions that exceed expectations. 2. Client-Centric Approach: Our unwaveRead More

  • dollar

    <$25/hr

  • user

    250 to 499

  • calender

    2014

  • location

    Vietnam

Frequently Asked Questions

Deep Learning is a subset of Artificial Intelligence that uses neural networks with multiple layers to learn from large amounts of data. It's particularly effective for tasks like image and speech recognition.

Deep Learning can automatically discover the features to be used for classification, while traditional Machine Learning requires manual feature engineering. Deep Learning also generally performs better with large amounts of data.

Deep Learning is used in various business applications, including customer service chatbots, fraud detection, personalized recommendations, and predictive maintenance in manufacturing.

Deep Learning typically requires large amounts of labeled data. The type of data depends on the project, but it can include images, text, audio, or numerical data.

The implementation time can vary greatly depending on the complexity of the problem, the amount of data available, and the expertise of the team. It can range from a few weeks to several months.

Some drawbacks include the need for large amounts of data, high computational requirements, the "black box" nature of decision-making, and potential biases in the training data.

Deep Learning often outperforms other AI techniques in tasks involving unstructured data like images or text, especially when large datasets are available. However, for simpler tasks or with limited data, traditional machine learning methods may be more suitable.

Deep Learning often requires powerful GPUs or specialized hardware, substantial storage for large datasets, and robust cloud computing resources. The specific needs depend on the scale and complexity of the project.

Businesses should focus on data privacy, model transparency, regular bias checks, and establishing clear guidelines for the use and deployment of Deep Learning systems. It's also important to have human oversight and intervention mechanisms.

A successful Deep Learning team typically needs data scientists, machine learning engineers, software developers, domain experts, and data engineers. Skills in Python, neural network architectures, and big data technologies are often required.

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