Data Science & Big Data

Reinforce your product with data-driven algorithms

Our Big Data services

Our Big Data services

At Intellias, we approach your corporate data as the raw material from which we generate a structured picture of your business to clearly see its strengths, weaknesses, opportunities, and threats. Using big data analytics and visualization reduces your time to market for any product or service. We combine traditional methods like ETL and BI with breakthrough technologies in Machine Learning and Artificial Intelligence to make your business truly data-driven.
  • machine learning algorithms for big data solutions

    Machine learning

    Build computer vision systems, create neural networks, and train them to solve problems

  • big data services

    Big data analytics services

    Find meaning in petabytes of data and build reliable architectures to handle billions of queries

  • Data management and data science

    Database management

    Collect and store data flows, build data warehouses, and process big data efficiently

  • data management for business intelligence

    Business intelligence

    Get insights for your business with real-time interactive reports, dashboards, and data science as a service approach

  • Natural language processing

    Natural language processing

    Comprehend language, enrich learning experiences, and build human-like interactions

  • preparation of unstructured data

    Data preparation

    Clean the mess in your corporate data warehouse to make your big data solution accessible and useful

  • data visualization for business

    Visualization of big data

    Visualize results so they can easily be understood by users and turned into actionable insights

  • predictive data analytics

    Predictive analytics

    Discover hidden patterns and predict events to eliminate risks and create opportunities

Technologies

  • Technologies
  • Technologies
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Artificial Intelligence is a new "Electricity," and Data is an Oil of 21th century. AI is poised to start a great transformation in many industries. FinTech is totally transformed, Healthcare is starting to be, and Self-driving is an industry built on AI. Neural Networks help us to implement AI that can resolve tasks that human can do to drive tremendous economic value, easily counted in the billions.

Ihor Tanienkov, Machine Learning engineer at Intellias

Big data analytics for enterprise data management

Smart decision-making

With the data landscape evolving, companies have to become more agile and responsive. Predictive analytics bridges the gap between big data processing and practical decision-making. Big data predictive analytics transforms the way enterprises deal with information by harnessing data science for corporate decision-making and strategic planning.

If companies don’t want volumes of high-velocity data to deluge their businesses completely, they have to react to market challenges quickly and think outside the box. Big data predictive analytics inspects, cleans, and models data to draw valuable, business-oriented conclusions. Big data analytics visualization allows business leaders to make sense of information quickly and provides real-time insights to identify new opportunities.

Competitive edge

Thoroughly gathered and explored data is critical for reacting to future challenges. Enterprises that can recognize emerging tendencies and tailor their services accordingly can meet rising demand and become the go-to sources for particular products or services.

Big data predictive analytics puts actionable insights directly into the hands of decision-makers, helping their companies stay ahead of the competition. The correct use of data intelligence lets companies review their internal operations and workflows to effectively expand their services and investments. Big data analytics solutions help executives reduce time and expenses spent on product development and marketing strategies to outperform their rivals.

Data-driven organization

Today’s fast-evolving data environment poses lots of challenges for a big data analytics company. With the rise of distributed and cognitive computing, data science faces the need to intelligently manage unstructured forms of data including text, speech, numbers, and facts. Putting data to good use is the key to establishing a strong data-driven organization.

By using Data Science as a Service, business owners can unlock the value of big data. Data scientists shape actionable models from existing data to model possible scenarios and help companies determine which actions will bring the best results. Analyzing consumer preferences or expectations and distributing analysis results across company departments makes this data the key asset for any enterprise.

We deliver for

Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client

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