Artificial Intelligence Consulting Services
With 10 years of experience in artificial intelligence and 25+ IT professionals on board, Swift Web Design provides all-encompassing assistance across AI implementation to help businesses design, develop, and seamlessly maintain cutting-edge AI solutions.
Artificial intelligence (AI) consulting is a proven way to get expert guidance on leveraging AI technologies and effective AI integration into business operations.
As an experienced AI consulting partner, Swift Web Design develops state-of-the-art solutions fully tailored to its clients’ unique needs and figures out the ways to speed up AI development, ensure optimal project cost and minimized risks.
AI Solutions We Create
According to PwC, AI realizes substantial value via increasing productivity through automation, improving decision-making, and enhancing customer experience. Solutions that Swift Web Design delivers embrace the latest AI developments to innovate and improve operational workflows, maximize user value, and enable innovative business models:
Advanced data analytics
Software designed to handle data aggregation, processing, and analysis tasks, produce accurate forecasts on the required variables, and provide intelligent prescriptions on the optimal decisions.
Business automation
Software that employs leading machine learning and deep learning techniques to automate even the most complex business operations end to end, from data intake to decisioning and action taking.
Computer vision
Software that automatically captures and interprets information from image and video data and can enforce user-defined actions when certain visual patterns are detected.
Speech recognition
Software used to process audio signals and interpret human speech; it can initiate particular actions upon voice commands and support human-like voice communication.
Conversational AI
Software that relies on natural language processing (NLP) and ML to understand and process human language and instantly generate responses that are accurate and relevant to the conversation.
AIoT applications
Software that combines the capabilities of AI, IoT, and big data to enable the creation of smart machines that can interact with other systems, self-tune, and make decisions with no to little human involvement.
AIOps solutions
Software that leverages various types of AI technologies to streamline and improve the management of IT operations and DevOps environments.
Generative AI
Solutions that can produce new forms of creative content (text, images, 3D models, audio, video, computer code) based on specified parameters.
AI Use Cases Swift Web Design Specializes In
Personalization in 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: improved employee productivity, increased sales, conversion rates, and average order value.
Customer service and support
- Virtual customer agents (chatbots, digital humans) providing assistance on any issues.
- Speech-to-text and text-to-speech conversion.
- 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.
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.
- Digital twins.
Value you get: supply-demand balance, minimized supply chain risks, reduced procurement, shipment, storage, and labor costs.
Predictive and prescriptive 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.
Document processing
- Extraction, validation, and analysis of data from digital documents.
- Conversion of paper documents to a user-defined digital format.
- Automated document creation.
Value you get: faster and more accurate document processing, reduced document-associated costs.
Content creation
- Automated generation of multi-format content based on user prompts.
- Quality assurance of existing content.
- Intelligent content optimization.
Value you get: streamlined creation of high-value content, an opportunity to produce new content forms.
Fraud detection and physical security
- Automated spotting of fraudulent activities in digital and physical environments.
- Intelligent enforcement of security measures.
- Voice-based and biometric authentication in security systems.
Value you get: minimized security risks, reduced labor costs, enhanced customer experience.
Smart robots
- Industrial robot software (for manufacturing, warehouse operations, product quality control, etc.).
- Connected consumer products (electronic devices).
- Smart homes and cities.
- Autonomous vehicles.
- Internet of Medical Things.
Value you get: enhanced operational efficiency, automated remote control, accurate object tracking.
Choose Your AI Service Option
AI consulting
We introduce a tailored AI launch strategy, design the optimal architecture and tech stack for your AI solution, and assess its economic feasibility. You also get expert advice on AI security and compliance and receive a detailed project plan for risk-free AI implementation.
PoC delivery
We code and train small AI software components to prove the technical viability of the idea and avoid costly changes along the way. These proof-of-concept modules can be reused later in development to speed up delivery.
MVP development
Launching an AI MVP is a cost-effective way to roll out the software faster and start driving early payback. We can deliver an MVP of your AI solution in 3+ months, taking full charge of the app development, AI model design and implementation, and all necessary QA procedures.
AI-based software development
Depending on your needs, we can integrate AI into your existing app or develop fully-featured AI-powered software from scratch. Our seasoned AI developers have all it takes to build industry-specific AI-powered solutions of any type and complexity and deploy them at scale.
AI model training
Our data scientists are here to help you train proprietary and open-source AI models or retrain your existing models to reach >95% output accuracy. We can compose a representative training dataset, define the appropriate hyperparameters, and tune the models to prevent under- and overfitting.
AI audit and revamp
We can perform an expert audit of your AI solution to identify the root cause of its operational issues and find pragmatic ways to fix them. Our experts can promptly upgrade the software and enhance AI models to help you generate higher value with your existing AI solution.
About Swift Web Design
During 7 years in data analytics and data science, we have been satisfying companies’ diverse analytical needs (including the need for advanced analytics), which makes us fully understand the transformation you’re undergoing.
- We hold experience in Microsoft, Amazon, Oracle, and other tech leaders to keep pace with the technological advancements and the evolution of the data analytics landscape.
- An expert team of architects, developers, DataOps engineers, ISTQB-certified QA engineers, data scientists, project managers, and business analysts with 5–10 years of experience.
- A quality-first approach based on a mature ISO 9001-certified quality management system.
- ISO 27001-certified security management based on comprehensive policies and processes, advanced security technology, and skilled professionals.
- Transparent and flexible pricing.
- We collaborate with companies from 30+ domains.
Big Data Analytics Use Cases Swift Web Design Covers
Big data warehousing
- Storing data about business processes, finances, resources, customers, etc. for analytical querying and reporting.
- Corporate performance analytics.
- Revenue, cost and investment analytics.
- Predicting, forecasting, and planning (performance, revenue, capacity, etc.) with all interdependencies.
Operational analytics
- Collecting, processing and storing large volumes of operational data (transactional data, production process data, asset data, employee data, plans, etc.)
- Detecting deviations and undesirable patterns in a company’s operations (production processes, product distribution, etc.)
- Recognizing bottlenecks (equipment failure, resource unavailability, etc.), and conducting cause-effect analysis.
- Forecasting (demand, capacity, inventory, etc.)
- What-if scenario modelling and operational risk management.
Manufacturing
- Analyzing manufacturing data (equipment year, model, sensor data, error messages, engine temperature, etc.) to predict equipment failures and the remaining useful time in real-time.
- Real-time monitoring of production processes, production equipment data, materials usage, etc., to identify factors leading to production time increase and delays for production optimization.
Healthcare
- Capturing, storing, and analyzing patient-related data (doctor notes, medical images, EHR/EMR data, R&D results, etc.).
- Real-time patient monitoring and alerting on trends and patterns requiring the doctor’s attention.
- Personalized care plan recommendations.
- Mining claims data to identify fraudulent activity.
- Forecasting the supply, demand, supplier risks, etc., to enable healthcare supply chain optimization and planning.
Financial services
- Analyzing integrated transactional data, interaction events, and customer behaviour in real-time, identifying complex AML transactions, creating advanced risk models, etc., to identify potential fraud and fraud patterns.
- Consolidating and analyzing data on assets and liabilities and conducting credit risk assessment, liquidity risk assessment, counterparty risk analysis, etc., to mitigate financial risks.
Transportation and logistics
- Tracking and analyzing real-time sensor data (cargo state, location, etc.) to make the delivery process fully transparent and ensure high-quality delivery of sensitive goods.
- Analyzing driver behaviour, maintenance needs, weather data, traffic data, fuel consumption data, etc., in real-time to enable dynamic route optimization.
Retail and e-commerce
- Analyzing customer demographic data, data from mobile apps, in-store purchases, etc. to identify customer paths and behaviour to optimize merchandising, provide personalized product recommendations, discounts, etc.
- Forecasting customer demand, analyzing the key attributes of past and current products/services and the commercial success of their offerings, and using ML-driven recommendations to create new products/services.
- Consolidating and analyzing data from social media, web visits, call logs, and more to personalize customer support, launch tailored customer retention campaigns, etc.
- Analyzing customer transactions, and spending patterns, predicting future customer actions with ML models to assess customer lifetime value, target marketing and sales offers to your best customers, etc.
Oil and gas
- Analyzing log and sensor data from different types of equipment in real-time and putting analytics results into operations to facilitate predictive equipment maintenance.
- Analyzing drilling and production process data, data generated from seismic monitors, etc., to identify new oil deposits.
- Analyzing sensor and historical production data and building ML-based predictive models to measure well production and understand the usage rate.
Professional services
- Customer segmentation to offer personalized services, enable automated customer-agent matching, and ensure effective ad targeting.
- Financial data analytics to identify optimal service pricing strategies (based on competitors’ prices, market dynamics, historical data), detect revenue leakage, and improve profitability.
- Operational data analytics to optimize resource allocation, improve employee performance and process efficiency, and boost service quality.
Telecommunications
- Analyzing the network usage trends and patterns and using sophisticated models to forecast areas with excess capacity and optimize the network capacity.
- Analyzing overall customer satisfaction, identifying customer churn patterns, and recommending the most relevant products/services to increase customer retention.
Our Advanced Big Data Competencies
Swift Web Design combines big data expertise with decades-long experience in other advanced technologies to deliver end-to-end big data applications that bring maximum value to their users.
Artificial intelligence
Developing personalization engines, natural language processing systems, computer vision, and other AI-powered solutions that maintain stable performance under any data load.
Machine learning
Building highly accurate ML models that identify hidden patterns in big data, provide reliable forecasts, power complex neural networks, and automate complex business algorithms.
Data science
Providing strategic and technological guidance in wrangling, exploring, and applying data, we employ reliable statistical methods, establish robust data quality management processes, and help avoid issues related to inaccurate data and false predictions.
Business intelligence
Integrating large volumes of high-velocity data into scalable, fault-tolerant analytics solutions that provide trustworthy insights to any number of users.
Data visualization
Creating easy-to-navigate, customizable reports and dashboards that are tailored to the needs of specific business users and provide a clear and concentrated view of data insights that matter most.
Cloud services
Proficient in Azure, AWS, and GCP, we build cloud big data solutions from scratch and migrate legacy workloads to the cloud to achieve better scalability, cost-efficiency, and availability of our customers’ data.
Our Selected Projects
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Technical Components of a Big Data Solution We Cover
Data lake
Data warehouse
ETL processes
OLAP cubes
Data visualization
Data science
Data quality management
Data security
Swift Web Design's Big Data Services Success Factors
Rigorous testing
We develop a tailored QA strategy to ensure smooth software operation and its unfailing performance even under high data load. We also implement a feasible share of test automation, which helps us to reduce testing costs by up to 20%.
Maximum security
Relying on our ISO-27001-certified security management system and 7 years of experience in cybersecurity, we can establish reliable protection of your big data solution and ensure its full compliance with any required regulations.
Future-proof solutions
We design flexible and efficient big data systems that are easy to scale and evolve in the long run. We also provide exhaustive software documentation to streamline software maintenance and are ready to stay with you for long-term solution support or train your internal team.
Want to Harness Big Data for Your Business Needs?
Swift Web Design helps companies fetch big data from a variety of sources, and consolidate and analyze it to get valuable insights from previously untapped data assets.
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