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ML & KI

Machine Learning

We develop AI software solutions that use machine learning to interpret and analyze external data in order to automatically carry out activities as learned from the results. We create optimization solutions for various problems and would be happy to advise you on technical feasibility and implementation.

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Why use Machine Learning in Businesses?

Machine learning is a subfield of artificial intelligence (AI). The focus is on training computers in order to constantly improve them through the analysis of data and experience. Instead of being explicitly programmed, computers are trained with algorithms that find patterns and connections in large amounts of data. These algorithms then make the best predictions and decisions for us based on that analysis. Machine learning applications increase and improve their accuracy the more data they have available, which is why they can be used efficiently in companies.

Machine learning uses different types of learning models, which in turn use different algorithmic techniques. Depending on the type of data and the desired outcome, one of four learning models can be used: supervised, unsupervised, semi-supervised, or reinforcement.
Machine learning algorithms are fundamentally designed to classify things, find patterns, predict outcomes, and make informed decisions. As a result, they can be used to automate and optimize business processes. By automating routine operations and predictive analytics, you free up time for demanding tasks.

prelytics uses machine learning methods to develop innovative software solutions for our customers, with which processes can be automated, operating costs reduced and new insight found. Our ML experts have in-depth knowledge of ML and AI technologies to provide our clients with valuable insights into the market and increase the effectiveness of their business.

  • Risk analysis
  • Supply chain optimization
  • Predictive maintenance
  • Inventory Management Optimization

Optimize Your Business with Machine Learning

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Automate Routine Processes

Machine learning algorithms can reduce the time spent on routine operations by collecting data and analyzing it by learning to automate them. Automation not only saves you resources, the technologies used can also uncover anomalies, patterns and correlations and thus provide unique and efficient insights.

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Analyze Business-Critical Data

Machine learning enables detailed, efficient processing of all types of data and the resulting insights. By combining different types of data and analyzing them, new trends and insights of great value for your business can be discovered.

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Increase Security

Machine learning algorithms are used to develop self-improving tools in physical or virtual environments that guarantee your organization’s protection from malicious actions. These constantly monitor system behavior to detect anomalies, eliminate them and evolve based on their characteristics.

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Improve Customer Service

Machine learning technologies are used to automate customer service processes, increase speed and efficiency, while providing your customers with a personalized experience that increases satisfaction and retention. Examples of this are not only chat bots, but also the provision of data-based insights and predictive analytics.

Ready to Let Your Company Benefit From Machine Learning?

Contact prelytics for a direct cosultation with our experts!

prelytics Machine Learning

Our Services

Do you want to implement deep learning algorithms and ML technologies in your company to make efficient, data-driven business decisions? Our prelytics experts provide you with secure AI solutions for digital transformation and will be happy to advise you on implementation and implementation.

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Machine Learning

Our experts develop new solutions when ML algorithms with specific functions are required. Not only do we program from the ground up, we also train the algorithms with suitable data sets in order to obtain systems that optimally meet the needs of our customers.

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Deep Learning

Using advanced deep learning techniques, we can help you transform AI/ML data into accurate, easy-to-understand, and visualized insights. The algorithms of deep learning are inspired by real living beings and thus offer advantages in numerous areas.

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Data Science & Data Analysis

We obtain information from large amounts of data by combining the latest analysis techniques and innovative technologies. We not only extract information and insights, but also make them understandable for our customers through various visualization methods.

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Algorithm Optimization

Algorithm optimization in machine learning refers to the refinement of their accuracy and the subsequent increase in efficiency. Our experts improve existing algorithms by further developing them for you and training them with optimal data sets.

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Predictive Analytics

Predictive analytics refers to the analysis of historical data to create predictive models of risks and opportunities for businesses in the future. The use of machine learning and suitable algorithms makes it easier for us to make data-based decisions.

Questions about ML?

Frequently Asked Questions (FAQ)

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  • What differentiates artificial intelligence from machine learning?

    While ML learns and makes predictions by passive observation, AI interacts with the environment to learn and take actions that maximize the likelihood of goal achievement.

  • Is it possible to upgrade an existing system using machine learning?

    Yes, but it should be seen as a project for the entire organization rather than just an IT overhaul. Before starting a digital transformation project, the firms that achieve the best outcomes do an extensive review of their current resources and capabilities and make sure the proper underlying systems are in place.

  • Why not just use statistics instead of machine learning?

    The combination of many learning models, methodologies, and technologies known as “machine learning” may also include statistics. The core of statistics is the utilization of data to develop analytical models and make predictions.

  • How crucial is machine learning for businesses?

    Machine learning is crucial for the success of businesses since it promotes data-driven decision-making and gives businesses insightful knowledge about trends and chances to optimize the production process to stay up with the rate of market development.

  • Is Machine Learning used in my industry?

    Improving processes with the help of machine learning brings significant benefits to companies in all industries. There are many examples of industries benefitting of ML, including but not limited to finance, healthcare, E-Commerce, marketing, security and the energy industry.

Do You Have Questions or a Project in Mind?

Talk directly to our prelytics experts, we will be happy to advise you!