The 2021 China International Fair for Trade in Services, aiming at promoting deep industrial integration and booming development of service economy, was kick off in Beijing, September 2, 2021. In the China Intelligent Industry Forum, Dr. Qingqing ZHANG, CEO of Magic Data Tech, gave a presentation on the company’s new product — Annotator® 5.0 Data Labeling Platform Privatization Deployment Version, which was launched on September 1, 2021.
As AI research and development is moving forward both in depth and breadth, the needs for structured data grow explosively. Meanwhile, the data labeling industry is undergoing decentralization: production of structured data is shifting from large-scale third party data processing centers to scattered data end-users.
These lead to a set of professional and effective data labeling tool is in urgent demand to process the large volume of data generated in companies and research institutes’ daily operation, especially in some vertical and highly professional fields.
Designed as “Office for AI” and officially launched in September 1, 2021, Annotator® 5.0 Data Labeling Platform Privatization Deployment Version is dedicated to becoming the first choice for AI developers and data scientists, assisting companies and research institutes in lowering cost and improving efficiency.
Key features of Annotator® 5.0 Privatization Deployment Version include:
As a professional and efficient data labeling tool, Annotator® 5.0 is ready to unleash the potential of data labeling and empowers AI research and development in field of smart customer service, computer-human interaction, social networking service, industrial examination, smart education, among others.
A SaaS version of Annotator® 5.0 is available for free use by visiting saas.magichub.com.
Recently, Magic Data officially become one of AWS’s ISV partners after Annotator® 5.0, an AI-assisted data labeling platform passing the ASW foundation technology Review (FTR).
The importance of data security has been increasingly realized, no matter it is in national or personal level. Always putting data security at the first priority, Magic Data designs and applies a strict data protection mechanism so as to provide sufficient trusted AI training data for the industry.
The code-mixing phenomenon brings much challenges to the automatic speech recognition system development. How to develop a reliable multilingual speech recognition system have become a heated topic within the industry.
The demand for a quick, intelligent and natural-sounding conversation between human and machine is increasing.
The 3rd China Automotive Intelligent Summit 2021, took place on 27-28, Sept. 2021, Shanghai, gathers about 120 experts and executives from the automotive industry to focus on the networked technology, software development, hardware innovation, business model and user insight of intelligent cockpit, and provide an in-depth comprehensive analysis of the opportunities and challenges of intelligent cockpit development.