Dweloom

AI

Harnessing years of data to deliver instant AI-driven insights. Explore the fundamentals of programming in Python, the most popular language for data analysis and web development. This course will help you grasp basic Python concepts and syntax, preparing you for further programming study.

Purpose of application

1

Cost optimization

Optimize service with flexible configuration and automation. Correct definition of execution priorities.

2

Optimization of maintenance

Equipment maintenance prioritization with AI/ML and quality control automation.

3

Business optimization

Using AI/ML to speed up operational processes by identifying profitable customers and defining criteria for their identification.

4

Data accuracy

Use AI/ML to improve data accuracy for quality decision-making.

5

New services

Expand the types of services that your business can provide with the help of AI/ML.

6

Reliability

Reduce errors and opportunities for fraud with artificial intelligence.

Technology directions

01

Computer Vision:

  • People counting
  • People tracking and re-identification
  • Age & gender detection
  • Facial recognition
  • Objects detection
  • Objects movement tracking
  • Objects classification
  • Optical character recognition (OCR)
  • Visual defects detection
  • Items/goods on shelf recognition
02

NLP (Natural Language Processing):

  • Virtual assistants
  • Documents classification
  • Support tickets and emails classification
  • Items matching
  • Cognitive search
  • Textual information clustering
  • Compliance assistance
  • Security log analysis
03

Prediction and Advanced Analytics:

  • Sales predictions
  • Churn prediction
  • Recommender systems
  • Anomaly detection
  • Customer segmentation
  • Maintenance prediction
  • Advanced quality analytics
  • Behavioral analytics
  • Fraud detection
04

Generative AI and LLMs :

  • RAG (Retrieval Augmented Generation) chatbots
  • Generative AI for data analytics
  • Generative AI for text/image classification and modification
  • Generative AI for content personalization
  • Automated assistants
  • Natural Language Processing for customer service
  • Sentiment analysis and narrative classification
  • Voice-to-text documentation, voice interface for chatbots

Application examples

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1

Comparison of various tables into a single format, data analysis

For further sales and market analysis.This allows you to remove the risks of human error, and speeds up data analysis
2

Analysis of existing sales data for the last 18 months

To implement a solution based on machine learning that will predict future sales based on the following criteria: product groups, best manufacturers, general sales market
3

Real-Time Data Insights with Custom Azure GPT Bot

Custom Azure GPT bot delivers real-time, accurate data analytics on demand, reducing or replacing data analysis staff and accelerating results.
4

ML-Powered Request Automation

Development and implementation of the ML model of automated processing of customer requests

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