Machine Learning Consulting Services

Machine Learning Consulting Services - ScienceSoft

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, ScienceSoft 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.

Predict Business Outcomes and Manage Risks with ML

Turn to ScienceSoft’s team to embrace powerful machine learning capabilities to put an end to flawed predictions, impaired business processes, or customer churn.

Scope of Our Machine Learning Services

Depending on your needs and current ML environment (if any), our machine learning consulting services may include:

1

Business analysis

2

Data preparation

3

Development and implementation of machine learning models

4

Reporting

5

Support and maintenance of machine learning models

What Makes ScienceSoft a Reliable Machine Learning Vendor

Our data analytics achievements - ScienceSoft

  • Data science and data analytics expertise since 1989.
  • 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.
  • Domain experience in 23 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
  • Customer sentiment analysis
  • Customer behavior prediction
  • Sales forecasting
  • Context-aware marketing
  • AI-based product/service recommendation engines
  • Digital assistants

Natural language processing

  • Sentiment analysis
  • Security authentication
  • Chatbots
  • Speech to text conversion
  • Spam filtering

Computer vision

  • Medical image analysis
  • Biometric verification
  • Tracking customers inside retail stores
  • Object recognition and classification in traffic
  • Autonomous vehicles
  • Packaging and product quality monitoring in manufacturing

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.

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.

Technologies We Use

Programming languages

Machine learning platforms and services

Azure Machine Learning
Azure Cognitive Services
Azure Bot Services
Amazon SageMaker
Amazon Transcribe
Amazon Lex
Amazon Polly
AI Platform by Google Cloud

Machine learning frameworks and libraries

Mahout
Maxnet
Apache Spark MLlib
Caffe
TensorFlow
Keras
Torch
OpenCV
Theano
Scikit Learn
Gensim
SpaCy

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

Statistics methods

Descriptive statistics

ARMA

ARIMA

Bayesian inference

Big data

Click on the technology to learn about our capabilities in it.

Data visualization

Our Featured Machine Learning and Data Science Projects

Machine Learning Consulting for Electric Energy Consumption Analysis and Forecasting

Machine Learning Consulting for Electric Energy Consumption Analysis and Forecasting

  • High-level design of ML-based software architecture to facilitate electric energy consumption analysis and forecasting.
  • Forecasting built on Seq2Seq models, LightGBM and XGBoost ML models.
Development of an Image Analysis Solution for Clay Pigeon Shooting Scoring

Development of an Image Analysis Solution for Clay Pigeon Shooting Scoring

  • Image analysis software based on EfficientNet, CenterTrack and SiamRPN convolutional neural networks.
  • Faultless simultaneous detection, classification, and tracking of multiple flying targets and target fragments regardless of their location.
Data Science Implementation for Sales Analysis and Forecasting

Data Science Implementation for Sales Analysis and Forecasting

  • Accurate sales forecast built on a linear regression ML algorithm, an autoregressive integrated moving average (ARIMA) model, median forecasting and zero forecasting.
Automated Visual Inspection Software Development for Defect Recognition in Polyurethane Film

Automated Visual Inspection Software Development for Defect Recognition in Polyurethane Film

  • Detecting film defects in real time with the cv.findContours() and the OpenCV contourArea() methods.
  • Informed decision-making within the production process and improved production quality.
Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer

Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer

  • Analyzing the drill bit images with the Hough Circle Transform method, simple convolutional neural network and Mask R-CNN.
  • Optimized drilling equipment condition monitoring, timely detection of emerging drill bit defects, streamlined inventory management and reduced inventory holding costs.

Choose Your Service Option

Machine Learning Consulting

For companies seeking strategic guidance throughout the whole cycle of their machine learning development project.

Machine Learning Implementation

For companies that need to design, develop and launch a smoothly functioning machine learning solution.

Machine Learning Support

For companies that need to fix inefficiencies within their current ML environment and get tailored recommendations on increasing the quality of ML insights in the future.

Related Services We Offer

Getting advanced data analytics insights derived with machine learning technologies or enhancing the existing machine learning initiatives without investing in in-house competencies.

Advising on, developing and supporting data science solutions to help companies run experiments on their data in search of business insights.

Designing and developing custom image analysis software.

Retrieving valuable insights out of large, heterogeneous and constantly changing data sets without investing in an in-house data mining talents.

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.

Embrace Machine Learning Capabilities Now!

Turn to ScienceSoft’s consultants to get powerful machine learning capabilities before your competitors do.