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Advanced Bots Paving Way for Smarter Decision-Making and Process Automation

By CIOReview | Thursday, April 9, 2020

AI technology collaborating with RPA automates and streamlines processes, promising better customer service. 

FREMONT, CA: Petuum, AI solution provider has launched Neurobots, a series of Intelligent Process Automation (IPA) tools. Neurobots use sophisticated AI features such as computer vision, voice recognition, natural language processing, to automate company duties. This allows business clients to deploy active RPA bots with the most sophisticated AI and Machine Learning (ML) technology rapidly and cost-effectively.

RPA helps businesses eliminate operational flaws and improve productivity. Artificial intelligence-based decision-making algorithms add to the RPA ecosystem, making analysis and evaluation simpler and accurate. RPA and AI contribute to a company's significant development by providing the business with a competitive edge. RPA is an automated system that can decrease human effort by automating data entry activities, while AI operates on speech and image recognition, decision-making, and techniques of prediction.

Neurobots feature sophisticated AI capabilities that solve complicated company problems and can be readily added to current RPA infrastructure to improve decision-making and business processes. Neurobots provide RPA with state-of-the-art AI capabilities in a software solution that is easy to implement. With Petuum's sophisticated business AI infrastructure, which offers transformative industrial AI-Piloted alternatives to global clients, neurobots prove to be robust and extensively scalable.

Petuum is an enterprise AI-enabled software infrastructure and ecosystem supplier. Petuum's operating system provides users with a single platform to use vast quantities of data to construct any Machine Learning or Deep Learning application and deploy it on any hardware at a scale. The platform operates with any programming language and handles any information, enabling executives and analysts to create AI apps rapidly without coding, while technicians and coders can re-program apps as required. 

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