Artificial Intelligence

Artificial intelligence (AI) consulting helps companies automate and optimize business processes and make accurate forecasts with AI-powered software. Sukrom guides clients through AI implementation and delivers end-to-end AI solutions for non-IT enterprises and software product companies.

AI Solutions ScienceSoft Builds

  • Flagging anomalous behavior of machinery and equipment.
  • Predicting failure probability over time/in a certain number of steps.
  • Predicting remaining useful lifetime.

Value you get: improved OEE and productivity, decreased maintenance and repair costs, increased asset lifetime and uptime.

  • Calculating the risks of out-of-stock and overstock.
  • Sales and demand forecasting.

Value you get: supply-demand balance, minimized supply chain risks.

  • Face and emotion recognition.
  • Product quality control (checking for surface defects, discoloration, absence of components, etc.).
  • Computer-aided diagnostic assessment.
  • 3D reconstruction, etc.

Value you get: cost and time savings due to the automated processing of large amounts of visual data.

  • Voice-controlled navigation and search systems in vehicles.
  • Virtual assistants.
  • Voice search.
  • Voice-based authentication in security systems.

Value you get: enhanced customer experience, reduced customer service labor costs, etc.

Sukrom's Approach to Artificial Intelligence Consulting

When building AI-powered solutions, we apply the three-pillar approach to effective data security management:

  • Transparency – personal data collection and processing are only performed with users’ consent.
  • Strong security – to create a protected environment for data processing and storage, ScienceSoft incorporates security practices into the development processes (DevSecOps).
  • Compliance – delivered AI-powered solutions are fully compliant with industry and legal requirements (HIPAA, GLBA, GDPR, etc.).
  • Supervised learning algorithms, such as decision trees, linear regression, logistic regression, support vector machines.
  • Unsupervised learning algorithms, for example, K-means clustering and hierarchical clustering.
  • Reinforcement learning methods, such as Q-learning, SARSA, temporal differences method.

To ensure the viability of your future AI solution, the speed and quality of the AI-enabled insights, we:

  • Start an AI project with a proof of concept to display how the solution will work, estimate its potential value, voice concerns, etc.
  • Balance the system’s transparency with the accuracy of the output by using a combination of white box AI models that have understandable relationships between variables and output predictions and black box AI models based on deep learning algorithms that are not explainable by themselves.
  • Check the quality and viability of the developed solution against the agreed quality KPIs.

Cooperation Models We Offer

AI advisory services
  • AI needs analysis.
  • Analysis of the existing tech infrastructure (data source analysis, analysis of the established data management practices, etc.).
  • AI solution conceptualization and AI technology stack selection.
  • Delivering a PoC (for complex projects).
  • Creating an AI implementation plan, including cost and timeline estimation.
  • Outlining possible implementation and adoption risks and drawing up a risk management strategy.
AI Services ScienceSoft Offers
  • AI needs analysis.
  • AI solution conceptualization and tech stack selection.
  • Data management (data cleaning, standardizing, replacing missing or deviating variables, removing duplicates, and anonymizing sensitive data).
  • AI solution development, including ML model training and re-training, tuning and deployment.
  • Integrating the AI solution into the existing IT infrastructure.
  • Running end-to-end solution testing (covering functional, UI, API, performance testing).
  • AI solution support and evolution.
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