Machine Learning
Task automation, fraud detection, accurate forecasting — these are only a few capabilities of Machine Learning. It’s a sophisticated, tailor-made data solution to give you a competitive edge.
Contact UsBenefits of Machine Learning
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Predictive Insights
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Fraud Detection
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Automation of Tasks
Problem
Manual and Repetitive Tasks
Manual and repetitive tasks drain resources and hinder productivity. Employees spend significant time on routine activities that could be automated, leading to inefficiencies and increased operational costs.
Solution
Problem
Inaccurate Predictions and Forecasting
Without reliable insights into future trends and outcomes, you may struggle with inventory management, resource allocation, and risk mitigation.
Solution
Problem
Security Breaches and Fraud Incidents
Traditional methods often fall short in identifying and preventing suspicious activities, leaving you vulnerable to financial losses and reputational damage.
Solution
What is Machine Learning?
Are you grappling with manual, repetitive tasks that consume valuable resources and hinder your business’s efficiency? Machine Learning is your answer, offering the power of data-driven automation to liberate your workforce from the burdens of routine work. Let your team focus on high-value activities!
Inaccurate predictions and forecasting can have devastating consequences. Machine Learning can provide you with dependable insights into future trends and outcomes by analyzing historical data and leveraging cutting-edge algorithms.
Machine Learning also helps mitigate security risks and fraud. By continuously analyzing vast datasets in real-time, it stands as a vigilant sentinel, detecting anomalies and unusual patterns. This timely detection allows you to take swift action, minimizing the financial losses and reputational damage.
Machine Learning is the main driver of innovation in the 21st century. As more and more organizations globally adopt the technology, the choice is yours — to gain a competitive edge or stay behind.
Stay ahead of the tech revolution — leverage the full capacity of machine learning.
We are certified partners
Roadmap
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1
Planning and Preparation
We interview your team to understand your unique challenges, goals, and requirements.
We evaluate the available data sources to ensure they are suitable for machine learning and assist in acquiring and structuring the data.
Our experts identify and optimize the most relevant data features, or variables, to enhance the performance of machine learning models. -
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Model Development and Evaluation
We choose the ML algorithms and design model architectures that best align with your problem domain and data characteristics.
The selected model undergoes extensive training and evaluation processes, ensuring it meets the required performance standards.
We create a systematic history of model versions and their associated data to ensure transparency, reproducibility, and effective model management. -
3
Deployment, Monitoring, and Knowledge Transfer
After we’ve made sure the trained ML model meets performance standards, it is deployed and integrated into your systems and applications.
We optimize model hyperparameters to ensure its reliability and monitor the model performance to spot areas for improvement.
We provide comprehensive training and knowledge transfer on model interpretation and utilization.
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“Data experts from Valiotti quickly grasped the essence of the project and since then the team has been the strongest support for our analytics department.”Kirill Vassiljev
Head of Business Intelligence, Betpawa
Case Studies
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betPawa
A Flexible and Scalable DWH system Re-Built from Scratch with Improved Data Processing Time and Quality
Read more -
Mentorshow
Comprehensive Reports Allow an EdTech Startup to Analyze User Behavior and Refine Its Product Strategy
Read more -
Skycoach
Non-expert In-House Team Receives and Acts upon Professional Guidance to Establish Monitoring of Product Insights
Read more
FAQ
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We are a team of professionals available to contribute our vast experience and skills to your project. Taking leadership roles in data engineering and analytics, we have been working in the field for over 3 years. The geography of our customers is impressive. You are welcome to check out our latest case studies with specific details on our success and customer satisfaction.
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Data analytics is the process of analyzing data to uncover insights, trends, and patterns to improve decision-making and optimize business processes. Data analytics services involve various techniques and means, such as statistical analysis, data visualization services, and analytics data stack BI tools.
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Data engineering is the process of designing, building, and maintaining data infrastructure. It involves developing and implementing data pipelines, warehouses, and other data storage and processing systems. Integrating data from multiple sources, a data engineer cleans and transforms it, ensuring that it is accurate, consistent, and accessible.
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The term analytics data stack refers to the set of technologies and tools commonly used in data engineering and analytics. It can be configured and customized to meet the specific needs and requirements of a company.
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A data analytics company can help you better understand your customers, their behavior, and their needs, optimize your business operations, and make pivotal data-driven decisions.
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A data analytics company can help you better understand your customers, their behavior, and their needs, optimize your business operations, and make pivotal data-driven decisions.
When do you need advanced analytics services?
You need advanced analytics services when you want to:
- forecast future events or outcomes,
- implement predictive analytics to envision customer behavior,
- optimize business operations and processes,
- build a recommendation system,
- test new ideas and hypotheses.