Machine Learning Consulting Services for Enhancing Business Operations

Find patterns and take data-driven decisions with our ML consulting services to improve operational efficiency.

ThirdEye Data offers bespoke machine learning consulting services for enabling enterprises to take data-driven decisions. We develop tailored ML models for specific business needs by using supervised learning, unsupervised learning, time series analysis, reinforcement learning, recommendation systems, computer vision, and NLP techniques.

Machine Learning Consulting Services Offered by Us

Enterprises leverage machine learning (ML) models to address a wide range of tasks and challenges across various domains. As a leading ML consulting company, we have hands-on experience in developing cutting-edge ML models to achieve specific business goals.

Prediction and Forecasting

We build ML models to analyze historical data to make data-driven predictions about future events.

Classification and Categorization

Enterprise can use these machine learning models to sort things into groups based on their characteristics.

Recommendation and Personalization

With these type of ML models you can get suggestion on things that you might like based on users past behavior.

Anomaly Detection

These kind of ML models help enterprise to get notified for anything unusual. They help detect fraud, identify defects etc.

Natural Language Processing (NLP)

We can build models like GPT to understand and work with natural human language, just like ChatGPT.

Computer Vision

Enabling machines to "see" and recognize things in images or videos. Enterprises leverage computer vision in different ways.

Visualization and Data Exploration

Machine Learning makes data easy to understand. It creates graphs and charts, organizes data points, and helps spot patterns in information.

Content Management

With machine learning and generative AI, enterprise can automate tasks like sorting, organizing, and generating content.

Optimizing Operatons

Using ML techniques, enterprises can find the best possible solutions to complex problems, it helps optimizing operational efficiency.

Developing Bespoke Machine Learning Models Across Industries

Manufacturing industry is leading from the front in terms of AI adoption. According to reports, the global AI in manufacturing market size is expected to grow from USD 3.8 billion in 2022 to USD 68.36 billion by 2032, growing at a CAGR of 33.5% over the forecast period 2023-2032.

We have developed & delivered several ML models for manufacturing industry to increase production efficiency, improve product quality, reduce manufacturing costs, and improve on-floor safety measurements. Some of the major applications include:

  • Predictive Maintenance Platform
  • Product Quality Check Platform
  • Demand Forecasting Tool
  • Generative AI-powered Product Design Platform
  • Inventory Management Systems
  • Potential Hazards Detecting System

Retail industry is becoming a leading AI adopter specially to enhance their customer experience and optimize adverting campaigns. Addition to the list, there are some use cases where we have been asked to develop AI-powered cybersecurity applications to protect customer data.

We have developed the following ML models for the Retail Industry:

  • Connected Retail System
  • Demand Forecasting Platform
  • Personalized Customer Experience 
  • Conversational AI Chatbot
  • Pricing Optimization Systems
  • Inventory Management Systems

We can understand the pace of AI adoption in the healthcare industry by one simple statistics. According to a report about 70% of healthcare organizations are currently using AI in some capacity.

We have developed various machine learning models for healthcare industry to improve the quality of care and patient safety. Here some examples:

  • Image Recognition Platform
  • Generative AI-Powered Virtual Assistant
  • Patient Data Extraction Platform
  • Predictive Disease Detection Platform
  • Medical Devices Life Prediction

We have been building various ML models for the EOG industry to increase operational efficiency, reduce risks, and improve operational safety. The models include the followings:

  • Equipment Health Monitoring
  • Anomaly Detection in Electric Poles
  • Predictive Maintenance Systems
  • Demand Forecasting
  • Grid Security Systems
  • Energy Efficiency Systems

The market for AI in the EOG industry is growing rapidly. According to a report by Grand View Research, the market is expected to reach $11.3 billion by 2028. The growth of the market is being driven by the increasing demand for oil and gas, the need to improve operational efficiency, and the need to reduce costs.

We develop machine learning models for the AdTech industry to analyze in-market audience, building personalized campaigns, forecast demand, create marketing content and boost sales. Our ML models are helping AdTech enterprises to take data-driven marketing decisions. Here are ML models we have built for this industry:

  • Campaign Performance Monitoring and Reporting
  • Customer Churn Prediction
  • Personalized Marketing Campaigns
  • Demand forecasting
  • Campaign Conversion Platform
  • Sentiment Analysis
  • Cohort Analysis
  • Automated Marketing Systems
  • Advanced Data Analytics
  • Decision Support Tools

IT industry has always been a fan of data and our ML models are helping them to nurture the data in an enhanced, optimized and secured way. We have built the following machine learning models for the IT industry to improve the data culture:

  • User Data Analytics Platform
  • Predictive Maintenance Platform
  • Cyber Threat Detection & Prevention Systems
  • Intelligent Document Processing Tool
  • Text Analysis Application
  • Document Summarization Platform
  • Network Optimization Systems
  • Fraud Detection Systems
  • AI Chatbots
  • Semantic Search Engine
  • Personalized Customer Support System
  • Call Center Analytics Platform

The market for AI and ML in the BFSI industry is growing rapidly. The growth of the market is being driven by the increasing demand for fraud detection, risk management, and customer service. We have developed the following ML models to serve the need of BFSI industry:

  • Decision Support Tools
  • Fraud Detection Platform
  • Trading Systems
  • Credit Scoring Systems
  • Demand Forecasting Platform
  • Automated Customer Care Service
  • Cyber Security Systems
  • Intelligent Document Processing Systems
  • Document Summarization Platform
  • Semantic Search Engine

Transportation & Logistics industry is leveraging AI for improving operational efficiency and reduce costs. We have developed the following ML models to serve the industry needs:

  • Demand Forecasting Systems
  • Fleet Management Platform
  • Route Mapping Application
  • Intelligent Document Processing Platform
  • Fraud Detection Platform
  • Personalized Customer Support Systems

The market for AI in the transportation and logistics industry is growing rapidly. According to a report by MarketsandMarkets, the market is expected to reach $32.8 billion by 2025. The growth of the market is being driven by the increasing demand for efficiency, cost savings, and compliance.

Work with Seasoned Machine Learning Consultants

According to a recent report, only 30% machine learning projects are successful. There are many reasons why most ML models fail, but some of the common reasons are lack of good data, wrong model selection, overfitting or under-fitting training sessions, scalability, reliability, and security issues.

This is where our machine learning consultants play a vital role. By providing ML expertise, methodologies, and a deep understanding of the business domain, our ML consultants help businesses to overcome the challenges of ML and achieve their business goals.

Machine Learning Project References

Anomaly Detection in Electric Poles

Developed a solution that would Identify various images in a picture, including electric poles, detect anomalies in these electric poles and their sub-parts and predict the probability of defective electric poles.

Predictive Maintenance Platform

Extended client's existing Predictive Analytics Platform to predict in real time using 10x additional data points. Increased rate of data ingestion by more than 50%. Improved analytical queries response times ability by more than 900%.

Inventory Optimization System

Setup data lake that ingests 200+ data sources with varied data sources types and formats. Developed ML models to deliver inventory optimization strategies that will inherently help the company’s bottom line.

We have implemented 100+ ML projects

We have developed 100+ ML models for small to large scale enterprises including some Fortune 500 companies. Take some time out to browse through our top machine learning project references.

Share Your Data & AI Project Requirements

Frequently Asked Questions

There are many benefits to hiring a machine learning consultant, including:

  • Identifying the right problems to solve with machine learning.
  • Collecting and preparing data for machine learning models.
  • Building and training machine learning models.
  • Deploying and maintaining machine learning models.
  • They help you to avoid common mistakes in machine learning projects.

The process typically involves project scoping, data collection and preparation, model development and training, testing and validation, deployment, and ongoing monitoring and optimization. We work closely with your team at every step.

The timeline varies depending on project complexity and scope. However, we aim for efficient and timely delivery. We can provide more specific estimates during project scoping.

We prioritize model explainability and can employ techniques such as feature importance analysis, SHAP values, and LIME to provide transparency into model decisions.

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