Artificial Intelligence Consulting Services
100+
Satisfied and Happy Clients we have Served all over the World.
What We Do
Evolve Your Business While Evolving Your Data Landscape as you Hire Artificial Intelligence Consultants
The increasing volume of data & its complexity can be simplified with Tableau – a BI and visual data analytics suite, to help Businesses & people make informed decisions. Artificial Intelligence with us for data management, insightful analysis, & effective visual presentation that are fast, convenient, & result-oriented to establish a Data Culture & spur change. With our Tableau developers, turn your data insights into value-based actions.
AI Software and Capabilities ScienceSoft Specializes In
With practical experience in 30+ industries, ScienceSoft is an AI consulting company that tailors AI solutions to the specific needs of each domain, including healthcare, banking, insurance, lending, investment, manufacturing, retail & ecommerce, advertising, education, professional services.
Customer service and support
- Virtual customer agents (chatbots, digital humans) providing assistance on any issues.
- Speech-to-text and text-to-speech conversion.
- Customer sentiment analysis.
- AI-powered recommendations for next-best actions for human agents.
Value you get: enhanced rates of customer request resolution, reduced customer service labor costs, increased customer satisfaction and loyalty.
Financial management
- Financial performance and risk forecasting.
- Financial modeling.
- Prescriptive financial planning (budgeting, cost optimization, debt collection, risk hedging, M&O, etc.).
- Financial fraud detection.
For financial services:
- Customer risk assessment and credit scoring.
- Automated compliance checks.
- AI-supported decision-making, e.g., on bank account opening, loan origination, AI for mortgage, AI for insurance claims, AI for underwriting, and investing in a particular asset.
- Debt collection management.
- Payment processing enhancement.
Value you get: minimized financial risks, faster financial workflows, optimized costs, increase in
Supply chain planning and optimization
- Demand forecasting and demand-driven supply chain planning.
- Multi-echelon inventory optimization.
- Calculating optimal stock replenishment dates and amounts.
- Analytics-based supplier selection.
- Transportation mode and route optimization.
- Automating and optimizing warehouse and yard operations.
- Inventory counting with computer vision.
- Digital twins.
Value you get: supply-demand balance, minimized supply chain risks, reduced procurement, shipment, storage, and labor costs.
Diagnosing, treatment, and medical imaging
- Enhanced management of electronic health records (EHRs) and patient records using AI in EHR systems to ensure accurate, streamlined data handling.
- Streamlined and more accurate identification of diseases, side effects, and factors that affect health conditions due to AI-supported diagnostics and medical image analysis.
- Improved quality and safety of patient treatment thanks to intelligent prescriptions and instant risk factor identification (e.g., drug interactions, potential side effects).
- Early detection of potential health issues with AI-enabled remote patient monitoring integration with AI-powered medical devices.
- Streamlined population health analytics across large-scale, heterogeneous data sets.
- Improved patient engagement with medical AI chatbots for initial consultations and ongoing support.
Value you get: cost and time savings, high diagnostics accuracy, state-of-the-art patient care, and treatment safety.
Asset maintenance
- Predicting failure probability over time/in a certain number of steps.
- Flagging anomalous behavior of machinery and equipment.
- Forecasting remaining useful lifetime.
- Suggestions on the proper asset maintenance time.
- AI-guided maintenance operations.
Value you get: improved OEE and productivity, decreased maintenance and repair costs, increased asset lifetime and uptime.
Sales and marketing
- Customer behavioral analytics, including face and emotion recognition.
- Customer segmentation.
- Cross-selling and upselling recommendations.
- Intelligent prescriptions on optimal segment-specific sales and marketing strategies.
- Automated calculation of personalized prices, creating individual offers.
- Dynamic pricing.
Value you get: increased sales, conversion rates, and average order value.
End-to-End AI Consulting Services by devstudio360
The scope of ScienceSoft’s artificial intelligence consulting services varies depending on our clients’ business needs, maturity of the data management practices, and the current AI environment. Our AI services may include:
Business analysis
- For enterprises: definition and analysis of business needs to be pursued with an AI solution; analysis of the existing AI environment (if any), data management practices established within the company, the currently used technologies and tools.
- For software product companies: development of the competitive advantage framework, including TA definition, identification of features to win the competition.
AI solution conceptualization and development project planning
- Designing the architecture and feature set of the AI solution and creating the optimal tech stack for AI implementation.
- AI project planning: deliverables and KPIs, cost and timeline estimates, a risk management strategy, etc.
- Defining the approach to the AI models for the solution-to-be: going for proprietary models development or choosing public-available services and open-source models.
- Designing user-friendly UX and UI.
- AI solution PoC delivery (optional).
Data preparation management (for proprietary models)
- Exploratory analysis of the existing data sources (data type, volume, etc.).
- Data gathering and cleansing (standardizing, replacing missing and deviating variables, anonymizing sensitive data) for ML model training.
- Splitting data into sets for training, validation, and testing.
AI solution development
- For proprietary models: ML model refinement, testing, evaluation, and deployment.
- For open-source models: ML model/service integration; additional model’s training (if needed)
- Non-AI part development, including DevOps implementation and coding of the server side.
AI solution quality assurance
Continuous testing throught development.
- End-to-end AI system testing.
- Evaluating the quality of AI solution output according to pre-defined KPIs.
AI solution support and optimization
- Continuous AI solution monitoring and optimization.
- Adding new data sources to feed the AI solution for greater accuracy and insight.
- Building new ML models to meet the newly arisen business needs.
Machine Learning Methods We Rely On
Non-neural-network machine learning
- Supervised learning algorithms, such as decision trees, linear regression, logistic regression, support vector machines.
- Unsupervised learning algorithms: K-means clustering, hierarchical clustering, etc.
- Reinforcement learning methods, including Q-learning, SARSA, temporal differences method.
Neural networks, including deep learning
- Convolutional and recurrent neural networks (including LSTM and GRU)
- Autoencoders (VAE, DAE, SAE, etc.).
- Generative adversarial networks (GANs)
- Deep Q-Networks (DQNs)
- Feed-forward neural networks, including Bayesian deep learning
- Modular neural networks
devstudio360’s Approach to Artificial Intelligence Consulting
Data protection
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.).
Data quality
To enable high data quality, we engage certified data engineers and data scientists who employ a wide set of tools to automate data validation, cleansing, and reduplication processes.
Guaranteed value of the AI solution
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.
