Cogitai has announced commercial availability of its Continua platform, a software-as-a-service platform for self-learning AI. The Continua platform has the power to turn any process, system, software bot, or real robot into a self-learning autonomous service to drive actionable business outcomes. Whereas most AI systems today are trained using data painstakingly labeled by hand, Continua bypasses this time-consuming and error-prone process by enabling AI systems to learn on their own. Unlike academic open platforms developed to further AI research, Continua is the only commercially available software platform for businesses to put self-learning AI into action.
The company said most AI systems today are trained using data that is “painstakingly labeled by hand,” whereas Continua can enable the systems to learn on their own.
“As successful as AI has been so far, its applicability will accelerate dramatically when it no longer depends on data provided by humans. CogitAI’s continual learning approach is a watershed moment in the industry, providing a general-purpose solution that can learn from its own decisions, actions, and experience” said Mark Ring, CEO of CogitAI.
“Since our investment in CogitAI in 2016, we have seen the team make tremendous progress in bringing their unique technology to market,” said Toshimoto Mitomo, Corporate Executive in charge of Intellectual Property and Business Incubation Platform and Senior General Manager, Startup Acceleration Division, Sony Corporation. “We believe self-learning AI as a SaaS platform will be a game changer and we will see many new opportunities to implement AI in a wide range of innovative business applications.”
Below are some use case examples for self-learning across many applications:
- Video Games
- Building Management
- Robotic Process Automation (RPA) and Business Process Management (BPM)
- Customer-service bots
- Web Marketing
- AI coaches personalizing wellness and fitness
- AI software testing bots that learn to find and fix issues
- On-board calibration and real-time energy management for semiconductors
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