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Synthetic Data Turbocharges Your AI Projects

When implementing your AI projects for business needs, large and highly accurate datasets are prerequisite. However, to gather data from the real world is often found as time-consuming and costly. To address this challenge, an alternative solution of training data resource is synthetic data, which comes in handy.

What Is Synthetic Data?

Synthetic data is artificially created in the digital world through algorithms. Interestingly, in order to train machine learning models, the synthetic data mimics real-world data behavior and interactions to achieve “clone” records. According to Gartner prediction, although synthetic data accounts for only 1% of the whole data market, it will grow to 10% by 2025 and will become the direction of the prevailing wind in AI industry by 2030.

Benefits of Synthetic Data

You can use synthetic data to match certain conditions where real data are not applicable. Scroll down to unlock these key benefits:

-Ensure high-quality and accurate data through automation

-Reduce your cost

-Accelerate data collection

-Not exposing personally identifiable information (PII) and eliminate sensitive data leakage

Our Solutions of Synthetic Data

Numerous clients choose ECI as their reliable AI data service partner. ECI endeavors to satisfy the diversified client requests. As you can check the project image below, we supported a well-known international company to generate the images by Generative Adversarial Networks (GANs) to train its 3D modeling algorithms. If you are still looking for a tailored solution for your business needs, contact us via inquiry@ecinnovations.com


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How ECI Supports Virtual Digital Humans

Recent years, the popularity of Virtual Digital Humans (VDH) has quickly gained in awareness. VDH with vivid facial expressions and human-like body languages gradually applied into various industries, such as healthcare, advertising and film, gaming, retail, finance, education, tourism, governance and automobile, etc. To resemble person-like features in a virtual world, high technology means are crucial to ensure the creation of VDH, including computer graphics, deep learning, speech-to-animation, picture-to-avatar, audio and video synthesis, graphics rendering, interaction function and so on. As such, there are three vital steps to create digital humans-model creation, motion capturing and real-time rendering.

EC Innovations AI data services has successfully supported many VDH clients with NLP and video processing business needs, including data cleaning, semantic and sentiment annotation, ASR, TTS, etc. To make sure the conversational AI model is fluent, culturally sensitive, and strictly adhered to all regulatory requirements of target markets. At ECI, we are helping clients to recreate natural human interaction at scale, and are capable of meeting VDH client needs for intelligent production of digital content and visual interaction.

At EC Innovations AI data services, we support full coverage of data types across NLP, computer vision, conversational AI. We utilize our cutting-edge tools to collect, clean, annotate, and evaluate data for your business needs with streamlined workflow and automated processes to empower the AI industry with more possibilities. Our services are accessible 24/7 to provide timely assistance.

For more information, don’t hesitate to contact us via inquiry@ecinnovations.com or https://ecinnovations.ai/contact/.

Recent article

  • Synthetic Data Turbocharges Your AI Projects
    When implementing your AI projects for business needs, large and highly accurate datasets are prerequisite. However, to gather data from the real world is often found as time-consuming and costly. To address this challenge, an alternative solution of training data […]
  • How ECI Supports Virtual Digital Humans
    Recent years, the popularity of Virtual Digital Humans (VDH) has quickly gained in awareness. VDH with vivid facial expressions and human-like body languages gradually applied into various industries, such as healthcare, advertising and film, gaming, retail, finance, education, tourism, governance […]
  • Key Points to Data Collection for Autonomous Vehicles
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