Machine Learning
Machine Learning Consulting Services
Machine learning (ML) consulting services may include advising on and implementing ML-based software as well as supporting the existing ML initiatives. With experience in data science and AI since 1989, Birrtech renders a full range of machine learning services to help companies solve business problems with accurate forecasts and predictions, root-cause analysis, (big) data mining and more.
What Makes Birrtech a Reliable Machine Learning Vendor
- Big data services since 2013.
- Data warehouse services since 2005.
- Image analysis consulting and development services since 2013.
- Hands-on experience with all major languages, libraries and cloud services for data science.
- Birrtech USA Corporation is listed among The Americas’ Fastest-Growing Companies 2022 by Financial Times.
- ISO 9001 and ISO 27001-certified to assure the quality of the machine learning consulting services and the security of the customers’ data.
- Domain experience in 30 industries, including manufacturing, energy, retail and wholesale, professional services, healthcare, financial services, telecommunications.
Machine Learning Use Cases We Cover
Supply chain management
- Demand forecasting
- Inventory planning and management, preventive alerting for inventory control
- Identifying quality issues in line production
- Supplier relationship management based on smart supplier selection
- Identifying fraudulent transactions and preventing credential abuse
Production efficiency
- Automated recognition of manufacturing defects
- Power consumption forecasting and optimization
- Process quality prediction based on process parameters
- Production loss root cause analysis
- Production output predictive modeling with varying inputs
Predictive maintenance
- Predicting remaining useful lifetime
- Flagging anomalous behavior
- Predicting failure probability over time/in a certain number of steps
- Root cause failure analysis
- Providing recommended actions to take to avoid the potential failure
Transportation and logistics
- Predicting vehicle demand
- Predicting optimal amounts of fuel needed based on the analysis of driving patterns
- Vehicle failure prediction and recommendation of maintenance actions
Financial management
- Financial planning and analysis
- Financial modeling
- Algorithmic trading and hedging
- Financal advisory and wealth management
- Intelligent processing of financial documents
- Dynamic pricing
- Financial fraud detection
Natural language processing
- Sentiment analysis
- Security authentication
- Chatbots
- Speech to text conversion
- Spam filtering
Operational intelligence
- Operations anomaly and bottleneck recognition
- Deviation root-cause analysis
- Operational decision-making
- Forecasting of operational performance metrics
Customer analytics
- Customer sentiment analysis
- Customer behavior prediction
- Sales forecasting
- Context-aware marketing
- AI-based product/service recommendation engines
- Digital assistants
Our Approach to Rendering Machine Learning Consulting
KPIs-based service delivery
We can form the following KPI set: Output quality KPIs: Insights by value (high / average / low). Forecast accuracy. Missing alerts. KPIs related to business results (decrease in customer churn, operational costs reduction, etc.). User satisfaction score. For new implementations and revamps, our consultants: Consolidate the departments’ scattered needs and recommend the BI solution’s design where data from multiple sources and various analytical systems is integrated, secure, accurate and reliable. Create a detailed roadmap that covers all the steps required to launch a BI solution successfully. Design a user adoption strategy and conduct user training to ensure that your employees are well aware of the available features and capabilities and can use the solution with confidence. While improving your existing BI solution, we identify the evident and hidden problems that hinder your BI solution’s smooth performance and come up with the improvement roadmap containing structured recommendations on how to solve these problems.
Guaranteed data security
To secure your data utilized for machine learning projects, we: Process data on highly secure cloud facilities (Azure, AWS, Google Cloud). Conduct 24/7 in-house data security monitoring. Use secure data transfer methods (FTP and VPN) controlled via regular health checks.
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
Related Services We Offer
Machine learning as a Service
Getting advanced data analytics insights derived with machine learning technologies or enhancing the existing machine learning initiatives without investing in in-house competencies.
Data science services
Advising on, developing and supporting data science solutions to help companies run experiments on their data in search of business insights.
Image analysis services
Designing and developing custom image analysis software.
Data mining services
Retrieving valuable insights out of large, heterogeneous and constantly changing data sets without investing in an in-house data mining talents.
Big data services
Big data consulting, implementation, support, and big data as a service to help companies store and process big data in real-time as well as retrieve advance analytics insights out of huge datasets.
Why Turn To Machine Learning Consulting Right Now
Implementing machine learning solutions brings considerable benefits, including:
- Increased employee productivity due to automating repetitive and routine tasks with computer vision and natural language processing.
- Enhanced customer service experience due to AI-powered chatbots and virtual assistants facilitating real-time communication.
- Accelerated sales process due to improved opportunity insights and better lead prioritization.
- Reduced equipment maintenance costs due to predictive monitoring and preventive maintenance.
- Increased production efficiency due to demand and throughput forecasting, production process optimization and predictive modeling of product quality.