Enjeux & métiers
IA Générative : enjeux et applications métiers ?
WellSaid
The AI Voice Platform WellSaid is the leading AI text-to-speech technology company and first synthetic media service to achieve human-parity in voice. Creators, product developers, and brands alike power up their stories and digital experiences with a wide variety of voice styles, accents and languages — at the volume companies … [voir plus]
Winimy.ai
Building the VOICE of Your Brand! Top 30 startup in Asia (Enterprise SG/SFF). Amazon Alexa Agency (Partner) of the Year. Winimy is an AI-powered omnichannel customer engagement solution for bespoke customer experience. With our expertise and Conversation Engine architecture for artificial intelligence (AI) chat and voice solutions, we design the … [voir plus]
Wluper
Advanced Conversational AI to provide powerful voice-first experiences for any industry. We are creating a new and unique means to enable the next-generation computer interface by giving new and existing applications a Voice User Interface (VUI), powered by advanced NLU and Dialogue technology. Wherever your workforce interacts with your existing … [voir plus]
YData
Accelerating AI with improved data YData helps data science teams to accelerate their AI development with improved data quality Artificial Intelligence, Deep Learning, Data Privacy, Differential Privacy, Machine Learning, Data Science, Data Quality, Data Protection, Synthetic Data, Anomaly detection, and Data Generation [voir plus]
Yokai
Generative photography At Yokai.ai, we believe that it is time to dematerialize human-centric photography. Combining the latest research in computer vision, computer graphics and deep generative models, we are building the most advanced generative AI algorithms applied for people imagery production. #generativeAI #photography #people deep learning, image generation, 3D, fashion, … [voir plus]
ZappyAI
Enterprise-wide Automation with Process Mining and Discovery Enterprise-wide Automation with Process Mining and Discovery Machine Learning, Technology, Artificial Intelligence, Deep Learning, High Performance Computing, Operations, Innovation, Intelligent Process Automation, and Robotic Process Automation [voir plus]
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