Artificial Intelligence (AI) for Data Science - HQSoftware

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Artificial Intelligence for Data Analytics

  • 23+ years in business
  • Strict NDA terms
  • All-around software solutions
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Artificial Intelligence for a Data Analytics Solution

Autonomous AI for complex analytics

Computer Vision

AI makes it easier for Computer Vision solutions to classify, identify, track, and segment objects precisely.

Predictive Analytics

If you feed the AI historical data, let it perform statistical analysis, and pair it with the right tools, you’ll gain the ability to see the future behavior of your assets, equipment, machines — even customers.

Natural Language Processing

AI will help any Data Analytics solution understand human language and extract required data even from complex written texts: reports, scientific articles, and more.

Applied Intelligence

Applied Intelligence is Artificial Intelligence combined with deeper analytics and automation. It allows for automated insights discovery and enhances human ingenuity.

Data Discovery

Automate new data discovery and extract deeper insights than you ever imagined. Take messy and unstructured data and let Data Discovery solutions clean it and analyze it intelligently.

Business Intelligence

Enhance your usual BI tools with Artificial Intelligence: get smarter dashboards, avoid data overloads, gain deeper insights from Big Data, and always stay competitive with such an efficient tool by your side.

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Customer Stories

450 business goals reached through tech solutions since 2001

Don’t Confuse Reality with Hype

AI will not take over the world. It really does make your equipment, machines, or information systems a little smarter, but it could not lead to the rise of the machines, based on the technology currently in use. These are the real benefits of AI:

  • automates learning
  • simplifies data discovery
  • provides accuracy
  • efficient with data
  • does precise predictions

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AI Data Analytics For Various Industries

How can your business use AI?


Data analytics solutions help you predict what treatment protocols are more likely to help your patients, based on EHR data. Let AI interpret imaging results, e.g. in radiology. Apply Natural Language Processing to identify drug-drug interactions in the medical literature or user-generated content.


Update in-store technology to improve the shopping experience: link online and offline stores to exchange data between them, collect customer habit data and analyze it with AI to create personalized customer experiences.


Achieve the highest automation level possible in your manufacturing equipment. Let AI predict when the machine could fail and tell you when it is time to perform maintenance. Create Digital Twins that will represent your physical assets and contain real-time data.


Since AI can learn from past data, use it in the financial sphere to analyze financial bookkeeping data and records. AI can automate credit score evaluation, detect frauds in time by spotting odd transactions and behavior, recommend efficient investment tools, and automate trading.

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    Sergei Vardomatski