AI/Data Science
Artificial intelligence (AI) is transforming our world - and your organization needs to keep up. Golabs' advanced machine learning (ML) methods, artificial intelligence (AI) services, and data science tools equip you to make smarter, more efficient business decisions.
ARTIFICIAL INTELLIGENCE SERVICES
Mimicking human intelligence processes has never been easier. With the help of AI, we now have computers that think and perform like humans - enabling us to understand and act on data-driven insights more quickly and efficiently.
Regardless of your industry, Golabs' team of engineers allows you to drive AI strategy and adoption company-wide. After understanding your project, we'll support you from data collection to the algorithm's implementation on a wide range of AI services.
OUR AI SERVICES & SOLUTIONS
AI Picture Restorer and Colorizer
Text Extraction
Forecasting
AI Graphic Enlarger
Text Detection
Image Classification
AI Background Remover
Chatbot
Document Classification
Emotion Recognition
Market Basket Analysis
Segmentation and Clustering
Face Detection and Recognition
Speaker Recognition
Recommendation Services
Sentiment Analysis
Business Intelligence
Virtual Assistant
Robotic Process Automation (RPA)
Anomaly Detection
Decision Making
ARTIFICIAL INTELLIGENCE USE CASES
From accessing and organizing knowledge to implementing a range of optimized business processes, AI applications can benefit almost every aspect of your business.
Computer Vision
Train your computers to capture and analyze information from digital images and video data. With its reliance on massive data and computer power, computer vision can accelerate innovation, improve accuracy, and reduce costs.
Fine-Tuning in Large Language Models (LLMs)
Design highly accurate and personalized language models by re-training a foundation model on new datasets. Improve your ability to process human language and perform better in a specific domain.
Data-Driven Management
Make better business decisions by gaining insights through data analysis and connecting with customers and employees. Use AI to predict trends, optimize logistics, execute sales management, and automate repetitive tasks.
ADVANCED MACHINE LEARNING METHODS BY
Advanced machine learning - a specific type of AI - uses algorithms trained on immense amounts of data to improve the performance of a computer system. As a result, you can predict future unobservable data to learn and optimize your business operations and improve performance.
Unlike AI, our advanced machine learning methods help your computer system develop its intelligence (without being programmed explicitly). Instead, we'll help your machines learn from past data or experiences and then generate accurate results on that data.
ADVANCED MACHINE LEARNING USE CASES
Over time, experience better business performance as your algorithms receive exposure to more data.
Deep Learning
A subset of machine learning, deep learning uses a programmable neural network (learned from vast amounts of data) that allows machines to make accurate decisions. Inspired by the human brain, this method of AI can recognize complex patterns to generate insights and predictions - with no human interference.
Cognitive Speech Services
Interact naturally with end-users and enhance customer satisfaction by introducing voice capabilities to your business applications, including Text-to-Speech, Speech-to-Text, chatbots, and speaker recognition.
Natural Language Processing
Improve decision-making in document and text analysis and add value to your data by detecting sentiments, classifying intentions, categorizing documents, and extracting phrases, names, and keywords.
Image and Video Analysis
Utilize visual data processing tools such as image analytics, video analytics, object detection and tracking, and image classifications to label content, extract text, and recognize familiar subjects like brands and landmarks.
DATA SCIENCE TOOLS
Organizations can obtain meaning from granular data using data science tools - application software that analyses and interprets data. This ever-growing data science toolbox helps organizations collect, analyze, and model data and implement AI technologies.
Although implementing data science does not require programming language, more than one tool is typically necessary for the workflow.
DATA SCIENCE TOOLS USE CASES
With Golabs' numerous data science tools available, choosing the best one for your data-driven approach is straightforward.