- Operations & Business Lead Yuriy Kutsenko
- yuriy.kutsenko@mbit-consultants.com
- +380 93 25 30 993
- International Business Development
- info@mbit-consultants.com
- +49 174 38 96 636 +380 96 92 61 128 +380 68 48 29 172
ML and AI services
Businesses are increasingly turning to Artificial Intelligence (AI) and Machine Learning (ML) to gain a competitive edge.
MBIT Consultants is among the frontrunners in providing state-of-the-art ML and AI services.
Contact UsModels & Algorithms
In our work we use such Models & Algorithms as:
- Machine learning prediction
- Optimization of ML models using different algorithms such as BERT, GPT & LLM
- Deep learning & Neuronal networks
ML & Data Analysis Tools like:
Scikit-learn, Scikit-Image, SciPy, NumPy, Numba, Plotly, Pandas, Xgboost, Matplotlib/Seaborn, Jupyter, Colab, TensorFlow, Keras, CNN, RNN, pytesseract GNN, Transformers, Embeddings, spaCy, LDA, POS tagging, LightGBM
In our work we use such Models & Algorithms as:
- Machine learning prediction
- Optimization of ML models using different algorithms such as BERT, GPT & LLM
- Deep learning & Neuronal networks
ML & Data Analysis Tools like:
Scikit-learn, Scikit-Image, SciPy, NumPy, Numba, Plotly, Pandas, Xgboost, Matplotlib/Seaborn, Jupyter, Colab, TensorFlow, Keras, CNN, RNN, pytesseract GNN, Transformers, Embeddings, spaCy, LDA, POS tagging, LightGBM
At MBIT Consultants, our approach to AI transcends mere automation – we're architects of intelligent systems designed to mimic human cognitive functions. Our AI solutions are crafted to enhance decision-making, automate complex tasks, and provide businesses with a competitive edge in an ever-evolving landscape.
Using machine learning (ML) models for forecasting has many business benefits:
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Optimization of resources through forecasting:
Demand analysis helps avoid overstocking.
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Personalization of products and services:
Forecasting models facilitate the development of individual solutions for customers.
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Accurate forecasts for strategic decisions:
Machine learning makes it possible to more accurately predict what is important for managing production, inventory and finances.
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Improving strategic planning based on forecasts:
Forecasts help in developing future strategies, taking into account market and consumer trends.
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Risk minimization and strategic flexibility:
Forecasting helps identify risks and prepare for different scenarios.
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Effective marketing management:
Analysis of the effectiveness of campaigns and their effects on the market through marketing
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Optimization of resources through forecasting:
Demand analysis helps avoid overstocking.
-
Personalization of products and services:
Forecasting models facilitate the development of individual solutions for customers.
-
Accurate forecasts for strategic decisions:
Machine learning makes it possible to more accurately predict what is important for managing production, inventory and finances.
-
Improving strategic planning based on forecasts:
Forecasts help in developing future strategies, taking into account market and consumer trends.
-
Risk minimization and strategic flexibility:
Forecasting helps identify risks and prepare for different scenarios.
-
Effective marketing management:
Analysis of the effectiveness of campaigns and their effects on the market through marketing
At the heart of effective AI and ML lies robust data management. MBIT Consultants goes beyond the ordinary, employing advanced data analytics to ensure that every byte of information is leveraged to its full potential. This commitment to data excellence sets the stage for the creation of intelligent, adaptive systems.
Machine Learning (ML) stands as the backbone of MBIT Consultants' technological prowess. Our ML models are not static entities but living, evolving systems that learn and adapt. Through cutting-edge algorithms and advanced data analytics, we empower businesses to unlock the full potential of our data. Whether it's predicting market trends, optimizing operations, or personalizing user experiences, our AI developers are tailored to meet the unique needs of each client, ensuring scalability and sustained success.
Deep learning and neural networks can bring significant benefits to business in various industries.
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Automation of business processes:
Neural networks automate routine tasks, freeing up resources for more complex tasks.
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Improving products and services:
Deep neural networks detect features in data, improving quality products and recommendations.
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Customer experience:
Deep learning helps create intelligent systems recommendations, increasing customer satisfaction.
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Competitive advantage:
Companies with deep learning grow faster by getting competitive advantage in the market.
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Effective resource management:
Використання глибокого навчання управляє запасами та оптимізує процеси для зменшення витрат.
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Decision-making processes:
Deep learning analyzes big data for informed and strategic decisions.
-
Automation of business processes:
Neural networks automate routine tasks, freeing up resources for more complex tasks.
-
Improving products and services:
Deep neural networks detect features in data, improving quality products and recommendations.
-
Customer experience:
Deep learning helps create intelligent systems recommendations, increasing customer satisfaction.
-
Competitive advantage:
Companies with deep learning grow faster by getting competitive advantage in the market.
-
Effective resource management:
Using deep learning manages inventory and optimizes processes to reduce costs.
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Decision-making processes:
Deep learning analyzes big data for informed and strategic decisions.
Adopting new technologies shouldn't mean an upheaval of existing systems. MBIT Consultants recognizes the importance of seamless integration. The team works closely with clients to integrate AI and ML solutions into current workflows, minimizing disruption and maximizing efficiency.
The tech landscape is ever-evolving, and so are the challenges businesses face. MBIT Consultants stays ahead of the curve by fostering a culture of continuous innovation. From staying updated with the latest algorithms to exploring emerging technologies, the team is dedicated to keeping your business at the forefront of technological advancements.
Optimizing machine learning (ML) models using advanced algorithms such as BERT, GPT (Generative Pre-trained Transformer) and LLM (Large Language Model), will bring a number of important advantages for business:
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Improving the accuracy of ML models:
The use of advanced algorithms such as BERT and GPT increases accuracy and efficiency in natural language processing tasks such as such as machine translation and context analysis.
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Optimization of natural language processing (NLP):
BERT and GPT algorithms improve natural language processing systems, including automated question answers, sentiment analysis and information extraction.
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Improved response to the user:
Using these algorithms helps in improving the systems recommendations and personalization of content, providing a better experience users with business products or services.
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Reducing model development costs:
Using advanced algorithms in pre-trained models allows to reduce the time and costs for the development of new models, using ready-made solutions and trained parameters of these algorithms.
-
Improving understanding of context:
The BERT and GPT algorithms learn to understand the context in text that useful for analyzing large volumes of documents and interacting with by users in web services.
-
Improving the accuracy of ML models:
The use of advanced algorithms such as BERT and GPT increases accuracy and efficiency in natural language processing tasks such as such as machine translation and context analysis.
-
Optimization of natural language processing (NLP):
BERT and GPT algorithms improve natural language processing systems, including automated question answers, sentiment analysis and information extraction.
-
Improved response to the user:
Using these algorithms helps in improving the systems recommendations and personalization of content, providing a better experience users with business products or services.
-
Reducing model development costs:
Using advanced algorithms in pre-trained models allows to reduce the time and costs for the development of new models, using ready-made solutions and trained parameters of these algorithms.
-
Improving understanding of context:
The BERT and GPT algorithms learn to understand the context in text that useful for analyzing large volumes of documents and interacting with by users in web services.