Deeplearning Implementation

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Delivering capabilities of data science, deep learning expertise, IT operations experts and tools to develop, deploy, monitor and manage deep learning models in production on AWS. Easily develop and deploy machine learning projects written in modern languages and frameworks, on modern production infrastructures. Monitor ML-based applications for performance issues with ML-centric capabilities. Manage the dynamic nature of machine learning applications with the ability to frequently update models, including testing and validation of new models.

Reply.bot Implementation

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Make a difference with AI powered conversational Reply.bots for both voice and text based implementations. Reply.bot enterprise grade conversational bots are built on robust AI, NLP, and ML capabilities to offer a superior conversational experience to customers as well as employees. Top-Notch team with vast experience and technical know-how, align with your organizational goals to bring your Conversational AI Agent to Life. We train and develop deep learning contextual models that can analyze large volumes of text and provide things like text summarization, context modeling, and sentiment analysis that help build applications with highly engaging user experiences and lifelike conversational interactions. With our bot implementations you can improve customer support center productivity , automate simple and routine tasks and drive operational efficiencies across the organization.

Axstrm DataOps

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Transform data into intelligence with our DataOps solutions. Axstrm DataOps will help you build a data-driven competitive edge, handling the complete lifecycle of the data from streaming to reporting. We can support the whole integration, implementation and data management process for you - Data Stream Management & Analytics from different sources, Data Distribution & Processing, Data Storage Management, Transactional & Analytical Database Process Management.