To get the white paper, please visit: https://commsease.com/en/white-paper
The past decade has witnessed a revolutionary breakthrough in the new generation of AI algorithms represented by neural networks and deep learning in computer vision and natural language & speech. Emerging technologies like mobile Internet and multimedia have been widely applied in various businesses and industries. As a result, audio & video communication has become common in everyday work and life. Video on-demand and live streaming enjoy increasing popularity around the globe. Almost all companies are equipped with chatbots. The innovation of the digital industry has brought companies new opportunities to grow.
However, new opportunities come with new challenges. New application scenarios put forward new requirements for multimedia communication, digital marketing and cybersecurity. The integration of AI technology plays an important role in dealing with such challenges. In this regard, GrowthEase intends to provide an effective reference for modern enterprises to carry out business innovation and digital transformation in the era of AI through an in-depth interpretation of its AI solutions and the introduction of how the company utilizes AI technology in industrial practice to achieve continuous iteration of content risk control, audio & video, and natural language dialogue technologies.
In this white paper, three major challenges facing companies in the new era are identified. First, we are witnessing an online content explosion. A content monitoring system with quick identification ability and low resource consumption are necessary. Second, as real-time audio & video applications become increasingly demanding, technology providers need to ensure stable performance of real-time audio & video communication technology in a noisy environment while keeping costs low. Third, AI customer services enjoy rapid development. It requires providers to make better use of natural language dialogue to satisfy customer needs as well as realize fast cold start and improve performance to lower costs.
In response to the aforementioned challenges, the R&D team of GrowthEase has developed a series of all-around AI solutions by diving into the study of full-stack AI technologies of its GuardEase, CommsEase, and BizEase businesses while channeling AI R&D resources into three main areas: content risk control, real-time & interactive multimedia and AI customer service.
Chapter I and Chapter II of the white paper describe current opportunities and technology challenges in the market. GrowthEase gives an in-depth interpretation of the solutions of its AI R&D team, and a thorough analysis of GrowthEase’s practical application of AI technologies in terms of content risk control, audio & video, and natural language dialogue. GuardEase built a new digital content risk control system characterized with quick identification, low resource consumption, agile response and scenario generalization. CommsEase applied AI technology to audio & video technologies to optimize its algorithms and on-device applications. BizEase innovated its natural language dialogue technology based on the new-generation AI algorithm and built effective solutions to users’ needs featuring fast cold start, low cost and high availability. The three businesses of GrowthEase all give an exhaustive analysis of their practice in the new era in Chapter II.
Chapter III focuses on the five aspects of AI system – data, model, solution, algorithm and deployment. Based on the architecture applied by GrowthEase’s AI team, this chapter recaps the innovative methodology of the current AI system as shown in the image below.
Chapter IV studies customer stories of GuardEase, CommsEase, and BizEase and explores how companies can achieve business innovation and breakthroughs by adopting efficient and professional AI solutions. Chapter V and VI discuss the trend of AI technology from the perspectives of trustworthy AI and data-centric AI, and summarize the insights of academia and industry into multimodality, unsupervised & ultra-large AI system and engineering automation.
To get the white paper, please visit: https://commsease.com/en/white-paper
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