Artificial Intelligence Consulting Services

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

What Makes AptTechSols a Reliable AI Business Consultant

➼ Data science and data analytics expertise since 2013.

➼ Business intelligence and data warehousing services since 2011.

➼ Big data services since 2013.

➼ Image analysis consulting and development services since 2013.

➼ Domain experience in 30+ industries, including manufacturing, energy, retail and wholesale, professional services, healthcare, financial services, and telecommunications.

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AI Consulting Service Scope by AptTechSols

The scope of AptTechSols AI consulting services varies depending on our customers’ business needs, maturity of the data management practices, and the current AI environment (if any). Our AI services may include:

AI solution conceptualization and development project planning

➼ Outlining AI strategy and roadmap.
➼ Designing the architecture of the AI solution and creating the optimal tech stack for the AI project.
➼ Deciding on AI solution deliverables and KPIs.
➼ AI solution implementation planning, including costs and timeline estimates, risk management strategy outline, etc.
➼ AI solution PoC delivery (in case of complex projects).

Business analysis

➼ Definition and analysis of business needs to be pursued with an AI solution.
➼ Analysis of the existing AI environment (if any).
➼ Analysis of the existing data management practices established within the company, the currently used technologies and tools.

Data preparation management

➼ 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 training (re-training) ML models.

AI solution development (ML modeling)

➼ ML models exploration and refinement.
➼ ML testing and evaluation.
➼ Fine-tuning the parameters of ML models until the generated results are acceptable.
➼ Deploying the ML models.

ML output integration

➼ Development of application modules that use ML output.
➼ AI solution integration with the modules to feed the ML models and use ML output.

AI solution quality assurance

➼ 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.

AI Solutions AptTechSols Builds

According to PwC, top 3 AI solutions that bring substantial value are increasing productivity through automation, improving decision-making, and improving customer experience. The solutions that AptTechSols delivers are in line with the general picture:

Demand forecasting and inventory optimization

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

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

Predictive and prescriptive maintenance

  • 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.

Personalization engines

  • Customer segmentation.
  • Cross-selling and upselling recommendations.
  • Automated generation of individualized content – product recommendations, special offers and pricing, etc.

Value you get: automated marketing efforts, increased conversion rates and average order value, decreased cart and browse abandonment, etc.

Customer service

  • Virtual customer agents.
  • AI-powered recommendations for next-best actions for human agents.
  • Speech-to-text conversion.

Value you get: enhanced rates of customer requests resolution, reduced customer service labor costs, increased customer satisfaction and loyalty.

IoT applications

  • Internet of Medical Things.
  • Industrial robot simulation software.
  • Connected consumer products.
  • Smart cities, etc.

Value you get: enhanced operational efficiency, automated remote control, object tracking capabilities, etc.

Computer vision

  • 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.

AptTechSols Approach to Artificial Intelligence Consulting

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, reduplication processes.

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, AptTechSols 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.).

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.

AI Technologies We Use

Machine learning platforms and services

Machine learning frameworks and libraries

Machine learning algorithms

Supervised learning

Unsupervised learning

Reinforcement learning

Neural networks, including deep learning

Neural networks

Convolutional and recurrent neural networks (LSTM, GRU, etc.)

Autoencoders (VAE,DAE, SAE, etc.)

Generative adversarial networks (GANs)

Deep Q-Network (DQN)

Feedforward Neural Network

Radial basis function network

Modular neural network

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