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QuantaHub2 Solutions for the Public Sector

Momentum “no-code” Data Engineering AI/ML Platform

Momentum is a “no-code” Data Engineering AI/ML platform that allows users to develop end-to-end AI/ML data/analytical solutions without writing a single line of code. Momentum is utilized in ingesting and transforming data from a wide variety of data sources, training machine learning models, deploying, and managing these models into production, and bringing AI-powered automation at the enterprise scale. The platform is comprised of 8 components that all work in harmony providing a complete end-to-end platform for data engineers, scientists, and DevOps to rapidly develop, deploy, and derive business values.

Benefits of Momentum:

  • We are the only 100% no-code platform on the market. Complete an end-to-end AI solution in 10% of the time it takes to code an AI solution using our graphical interface. No coding experience needed.
  • We provide a complete trace of the AI solution lineage from data ingestion to model output. This satisfies requirements for complete traceability giving the consumer complete confidence in trustworthiness and accuracy.
  • Our solution is modular and can compliment any already existing environment or platform investment. With our module approach we are flexible to meet your specific needs.
  • We offer completely secure deployment options either on-premises within your environment or within your secure cloud deployment. All components are deployed from a Docker container allowing speed and accuracy of deployment.
  • Data Engineering Component

    Momentum Connect Architecture

    • For any data-driven development, engineers and data scientists spend 80% of their time in data wrangling. Momentum Connect helps automate this process so as to improve the productivity of all stakeholders. You can speed up the data wrangling process by ingesting, cleaning, blending, and transforming a wide variety of data formats from external systems at high speed and scale.
  • Data Warehouse Component

    Impulse DW

    • Impulse is a blazing fast data warehousing solution for real-time analytics. Impulse is a columnar database that enables fast ad-hoc analytics and instant data visibility with high concurrency.
  • Machine Learning

    Machine Learning

    • Momentum democratizes AI by providing no-coding toolkits to rapidly train and deploy Machine Learning models in production, thus increasing the overall productivity of the data science team. No specialized skill is needed to work with Momentum.
    • How Does Momentum AI Work?
      • Prepare your data using Momentum Connect.
      • Select a model type and configure it to take your data as input.
      • Execute to automatically train a number of algorithms suitable for your use case.
      • Evaluate and select the best model.
      • Push the model to deploy it in production.
      • Monitor model performance over time to assess when the right time to retrain the model is.
      • Retrain incrementally, if necessary, and maintain model versions to switch to the best performing models.
  • Computer Vision

    Computer Vision

    • Train and deploy image and video-based classification, object detection, and facial recognition models. Use pretrained and customize OCR/ICR models. Momentum supports training custom models to recognize printed and handwritten texts in virtually all languages.
    • Computer Vision Models:
      • LSTM for OCR and ICR
      • Convolutional Neural Network (CNN)
      • Object Detection Using Single Shot Multi-Box Detection (SSD)
      • Object Detection Using YOLO
      • Object Detection Using RCNN, Fast RCNN, and Faster RCNN
      • Facial Recognition
  • Natural Language Processing Components

    Natural Language Processing

    • Use or train models for language modeling, text summarization, POS, NER, sentiment analysis, document similarity and more. Natural Language Processing (NLP) techniques include:
      • Generative Pre-trained Transformer (GPT)
      • Text Generation and Question-Answering
      • Tokenization, Sentence segmentation, POS, NER and concept categorization
      • Text Summarization
      • Sentiment Analysis
  • Automation Engine

    Momentum Automate

    • Momentum Automate creates a digital workforce to perform repetitive and mundane work so that our enterprise customers utilize human cognitive power in solving higher-order problems.
      • Enterprise process automation is time-consuming and expensive.
      • Automation usually requires different tools from multiple vendors.
      • Interoperability challenges of tools present yet another level of complexity.
      • Requires a wide variety of skills for end-to-end automation.
  • Visualization

    Inset BI

    • Inset BI is a web-based visualization engine to display your business insights in the form of dashboards consisting of graphs and maps, to make data easier for the human brain.

Momentum MLOps Platform

Operational Efficiency in Machine Learning. On average, it takes 3 months to take an ML model from development to production. Data Scientists use different tools, programming languages, and libraries to develop models that are challenging for the operations teams to efficiently deploy, manage, monitor and scale. Frequent model enhancements and iterations make the situation even worse.

Artificial Intelligence Training for Non-Programmers

You will master the fundamentals of data science, machine learning, and artificial intelligence in this instructor-led, practical training program. The course is divided into two sections: theoretical and practical. Students will gain practical problem-solving skills during the course while studying topics including healthcare, the stock market, banking, manufacturing, and other sectors. Students who complete the program will have the hands-on experience necessary to expand their knowledge of machine learning and AI and work on cutting-edge AI projects like self-driving cars and predictive maintenance. At the end of this course, you will develop a portfolio to showcase your knowledge, experience, and skillset.