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AI and Machine Learning Analytics

Answer to complex market dynamics and disruptive technology forces with SPIN’s AI + ML services

Accelerate Business Transformation with SPIN’s AI and ML services

Smarter insights lead to stronger outcomes and that’s why SPIN enhances customer experiences with the help of the following Agile Technologies/Tools/Frameworks, etc.

Frameworks

TensorFlow
TensorFlow

A computational framework used for constructing Machine Learning applications like Neural Networks

dialogflow
AlexaGoogle’s Diaglogflow

Uses Machine Learning expertise and products like Google Cloud Speech-to-Text to scale millions of users

Technologies

H2o
H2O

Reliable and open-source software designed for Big Data analysis

Apache Spark
Apache Spark

An open-source computing system that delivers high-level API’s in Python, Java, SQL, etc

wordsmith
Wordsmith

A Natural Language generation platform that transforms data into meaningful narratives

Rasa
Rasa

An open-source for developers to built contextual text-and voice-based Chatbots

Drive unrivaled business growth with SPIN's solutions

Natural Language Generation

Natural Language Generation

Classifies patterns from large data sets and shares the information in a meaningful understandable way.
Neuro-Linguistic Programming

Neuro-Linguistic Programming

Interacts between human languages and computers easily by analyzing and processing a huge volume of natural language data.
Sentiment Analysis

Sentiment Analysis

Automates categorization of incoming calls and messages and identifies whether the hidden sentiment in it is positive, negative, or neutral.
Chatbot/Conversational AI

Chatbot/Conversational AI

Resolve business issues by simulating conversations with SPIN’s AI-based industry-specific and NLU-powered chatbots.

SPIN’s AI and ML service capabilities

Acquire highly customized solutions running on advanced ML algorithms from SPIN, and meet the performance demands triggering a faster transformation in the age of emerging techs.

  • Automated Machine Learning
  • Managed computation
  • DevOps capabilities for machine learning further improve productivity
  • Easy and effective model deployment
  • Support for favorite open-source ML frameworks
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