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What if solving one problem could unlock solutions to thousands more? Learn more Machine learning AI increases sales, saves costs, and improves UX Learn more Artificial Intelligence
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Meet Cogniart

Explore our machine learning and AI expertise

  1. Why use ML & AI
    Machine learning is superior to traditional software designs, stands behind state-of-the-art
  2. Cybersecurity
    Machine learning systems examine how users access corporate data and categorize behavioral patterns.
  3. Financial security
    Much like with cybersecurity, machine learning algorithms are incredibly good
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Real-time data science

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Self-taught analytics

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Neural networks

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Intelligent cybersecurity

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Business insights

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Automated interactions

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Real-time data science with artificial intelligence

Do you want to know what your clients do and why? Would you like to get this information before it becomes obsolete? Conventional data analysis implies a delay between data collection and offline batch processing, our engineers develop machine learning systems.

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$ 49.95 Per month
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$ 99.95 Per month
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Machine learning & AI in Computer vision

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.

Machine learning & AI in Language Processing

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.

Machine learning & AI in Data analysis

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.

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