Machine learning consulting services & solutions we deliver
Machine learning consulting streamlines the deployment of ML solutions powered by self-learning algorithms and designed to enhance decision-making and operational efficiency. Itransition offers its ML expertise to help companies get the most out of this technology and overcome adoption challenges.
Why choose Itransition
25+ years in IT consulting and software development services
5+ years of experience in machine learning consulting and development
An in-house AI/ML Center of Excellence
Standing partnerships with Microsoft and AWS
Established MLOps practices
4.9 average review rating on Clutch
The scope of our machine learning consulting services
Business analysis
- Identifying business needs via discovery workshops, interviews, and process observations
- Selecting viable ML use cases
- Assessing the customer’s current technical environment
- Helping define the solution’s functional and non-functional requirements
Data preparation
- Defining dataset requirements
- Assisting with data sources selection
- Assessing the quality of available data
- Advising on data analysis and cleaning
- Assisting with data imputation or dimension reduction
- Designing a data preprocessing pipeline
- Offering guidance on the creation of a data analysis flow
Product design
- Suggesting suitable machine learning techniques and ML algorithms
- Helping select a technology stack
- Detailing the ML solution’s architecture
- Advising on UX/UI design
- Planning the development stages (PoC, MVP, and main releases)
- Creating testing strategies
- Advising on ML model performance assessment
- Defining the project's goals, scope, deliverables, and timeframe
Building the ML solution
- Monitoring data preprocessing tasks
- Providing guidance on ML model training
- Keeping track of the solution’s development progress
- Ensuring adherence to ML implementation guidelines
- Offering recommendations on the ML model’s security and compliance
Model integration & deployment
- Selecting suitable deployment environments
- Defining an ML deployment strategy
- Offering guidance on ML model integration into corporate software
- Providing assistance with ML model scalability in the target environment
- Ensuring the ML model’s performance and security
- Assessing the adherence to ML integration and testing guidelines
Support & maintenance
- Setting up a maintenance plan
- Assisting with ML model performance monitoring and issue detection
- Advising on the need for ML model retraining
- Defining a continuous improvement strategy
- Providing ongoing user training and support
Looking for a reliable tech partner for your ML project?
Client spotlight
Take a look at case studies from our vast portfolio of successful machine learning projects to gauge the potential payoffs of collaborating with us.
Our customers say
Over the course of our collaboration with Itransition, we were consistently impressed with both the skill and dedication their team employed to fulfill our business needs. Itransition’s involvement extended beyond the technical realization of the project, they acted as consultants, continuously helping us hone the project vision and suggesting approaches that would be best suited for the intricacies of our business.
Dr Sarah Melville
Our machine learning expertise
Itransition’s ML skills include computer vision-powered solutions that can capture, process, and make sense of visual inputs from multimedia content or the physical world to extract valuable information.
- Medical image analysis software
- Video surveillance solutions
- Smart inventory management tools
- Visual inspection systems
Natural language processing
The scope of Itransition's ML consulting services encompasses NLP-based tools that use complex language models to gather data from text or audio, interpret and mimic human communication, and perform real-time transcription, translation, and content generation.
- Chatbots and virtual assistants
- Spam filtering systems
- Generative AI solutions
- Cognitive automation software
- Sentiment analysis tools
Data mining
Itransition's consultants help build data mining solutions that rely on statistical and ML-based techniques to delve into wide sets of data, identify patterns, outliers, or relationships between variables, and derive business-relevant insights.
- Predictive analytics systems
- Anomaly detection software
- Recommendation engines
- Marketing analytics tools
Machine learning solutions across industries
Itransition provides ML consulting services to help our clients incorporate insights derived from big data into their healthcare practices and personalize treatments, achieve better medical outcomes, improve patient satisfaction, and reduce operating costs.
- AI-enhanced radiology and medical imaging
- Diagnostics and identification of high-risk patients
- NLP-powered medical assistants
- Drug discovery and developmentÂ
- Automated EHR and data management workflows
Itransition equips financial institutes with ML solutions to help them attract more customers, minimize credit and investment risks, identify new liquidity opportunities, and automate various business processes.
- Fraud detection
- Credit scoring for loan/credit card approval
- Algorithmic trading
- Active portfolio and wealth management
- Dynamic customer segmentation and product recommendations
We offer ML consulting services to help retailers create customer-centric shopping experiences, enhance inventory management, and ensure safer shopping environments.Â
- Demand forecasting for inventory planning
- Social media analytics
- Marketing optimization and lead conversion
- In-store video surveillance
- Customer relationship management
Our consultants help online retailers implement ML-based tools to deliver a more interactive and personalized user experience, forecast ecommerce trends, and drive sales.
- Chatbots and digital shopping assistants
- Targeted marketing
- Product recommendation systems
- Dynamic product pricing
- Smart route planning and anticipatory shipping
Itransition helps companies in the real estate domain apply machine learning algorithms to detect shifting market trends, predict the price of properties in relation to market offerings, find the best investment options, and deliver superior customer experience.Â
- Home search and recommendations
- Property performance and market value prediction
- Automated property management
- ML-powered lead generation
- Virtual tours
We assist manufacturing companies in implementing ML-based solutions that help optimize equipment maintenance schedules, better manage fluctuations in demand and supply, and timely address anomalies in production processes.
- Equipment failure predictions
- Product development
- Automated product inspection and quality control
- Energy consumption monitoring and prediction
- Supply and demand forecasting
Itransition offers ML consulting services to help logistics companies achieve complete supply chain transparency and timely handle any issue, be it a vehicle breakdown, a sudden drop in demand, or shipping delays.
- Vehicle and equipment breakdown prediction
- Dynamic route optimization
- Estimated time of arrival (ETA) prediction
- Supply and demand balancing
- Warehouse layout planning and workload prediction
Itransition’s team assists businesses across industries to adopt ML systems that will boost their marketing initiatives with automation and data-driven insights.
- Predictive customer segmentation
- Ad personalization for targeted advertising
- Marketing automationÂ
- Customer lifetime value modeling
- Customer churn prediction
We share our ML expertise with financial institutions to help them and their customers identify investment opportunities, build balanced portfolios, and mitigate risk via AI-powered software.Â
- Stock price forecasting
- Market sentiment analysis
- Automated trade executionÂ
- Financial fraud detection
- Autonomous stock trackers
Itransition helps educational institutions and eLearning service providers embrace ML capabilities to increase student engagement and outcomes while improving operational efficiency.
- Intelligent tutoring systems for eLearning apps
- Personalized learning paths
- Identification of students at risk of dropping out
- Elearning content translation and lesson transcriptionÂ
- Virtual reality for professional training
We help agricultural organizations adopt ML technology to enable the security of remote facilities, ensure better yields, and improve pesticide effectiveness.Â
- Yield mapping and estimation
- Disease detection and treatment recommendations
- Classification of plant species
- Crop quality detection and classification
- Livestock health condition monitoring
How we address common ML pain points
Data quality & availability
Accuracy & reliability
Security & compliance
Related services
Artificial intelligence
We offer AI consulting and development services to craft artificial intelligence solutions tailored to your requirements, streamline their adoption across your organization, and help you address emerging technical or business challenges.
Machine learning development
Itransition develops ML systems powered by supervised, unsupervised, or reinforcement learning algorithms that can autonomously learn how to complete analytical or operational tasks and progressively improve their own performance.
Data science
Itransition’s data scientists can help your organization gather, prepare, store, and analyze structured or unstructured data to identify patterns, anomalies, and correlations, shed light on current trends, and forecast future scenarios to enhance decision-making.
Big data
Itransition’s team provides data mapping, transformation, warehousing, analysis, and visualization services to help enterprises extract knowledge from their big data assets and selected external sources.
Business intelligence
Itransition delivers BI solutions aligned with your analytical needs and industry specifics, providing your organization with accurate insights and predictions to support key corporate functions and overcome various business problems through evidence-based decision-making.
RPA
We create robotic process automation solutions, including software bots and smart assistants, and expand their operational scope with AI-fuelled capabilities to support your workforce in performing tedious and time-consuming clerical tasks.
Entrust your machine learning project to Itransition
Machine learning technologies we use
Our machine learning engineers have hands-on experience with major programming languages, libraries, frameworks, and third-party tools and services to build tailored ML solutions or improve the performance and resource usage of the existing ones.
Libraries & frameworks
- TensorFlow Keras PyTorch Scikit-Learn
- Theano MXNet NumPy NLTK
- Pandas Caffe MLlib SparkML
- Sonnet DarkNet Catboost XGBoost
- LightGBM Annoy Faiss
- NvidiaDigits OpenCV Microsoft Cognitive Toolkit
Network architectures
- Neural radiance field (NeRF) Convolutional neural network (CNN) Recurrent neural network (RNN) YoloNet
- Skeleton detection U-Net Generative adversarial network (GAN) AlphaPose
- Pose2Seg RetinaFace DBSCAN
Task types
AI & ML services
- Amazon SageMaker Amazon Rekognition Amazon Lex Amazon Polly Amazon Transcribe
- Amazon Comprehend AWS Deep Learning AMIs Azure Machine Learning Azure Cognitive Services Azure AI Bot Service
- Azure Conversational Language Understanding Google AI Platform Cloud Vision API Cloud Natural Language AI Cloud Speech-to-Text API
- DialogFlow Google Cloud AutoML NVIDIA CUDA OpenAI API
Data integration tools
- Azure Data Factory Azure Functions Azure Event Grid Azure Event Hubs Azure Databricks Microsoft SQL Server Integration Services
- AWS Glue AWS Data Exchange Apache Nifi Talend Informatica PowerCenter
- Dell Boomi MuleSoft Anypoint Platform IBM InfoSphere Information Server Oracle Data Integrator SnapLogic
- Precisely Striim Pentaho Fivetran Matillion
Data storage services
- Azure Blob Storage Azure Data Lake Storage Azure SQL Database Azure SQL Database Elastic Pool Azure SQL Managed Instance Azure Cosmos DB
- Microsoft SQL Server Amazon S3 Amazon Redshift Amazon Aurora Amazon RDS
- Amazon DynamoDB Amazon ElastiCache PostgreSQL MySql Oracle
- Google Cloud Storage IBM Cloud Object Storage SAP HANA SQLite Teradata
Data analytics platforms
- Azure Analysis Services Azure Stream Analytics Azure Synapse Analytics Microsoft SQL Server Analysis Services Microsoft Power BI
- Grafana QlikView Tableau Sisense
- Amazon Athena Amazon Redshift Amazon Kinesis Data Analytics Google Cloud Storage
- IBM Cloud Object Storage SAP HANA SQLite Teradata
Data visualization tools
- Datawrapper Chartist.js
- matplotlib seaborn
- bokeh Plotly
- Altair ggplot
- Infogram Google Charts
- Fusion Charts D3.js
- Excel
Benefits of turning to ML consultants
Optimized investment
Our machine learning consulting company can help your organization select an optimal tech stack and identify use cases requiring ML instead of conventional software solutions.
Streamlined project planning
With the support of a machine learning consulting firm, you can set up a suitable ML development and implementation roadmap and accurately define timelines, budgets, tasks, teams, and iterations.
Faster rollout
Our ML consultants can complement your in-house experts to complete your ML project faster and without recruiting and training additional talent.
Lower business risk
A team of ML consultants will help you address potential business or technical challenges (lack of training data, ML model bias, non-compliance, etc.) and mitigate related risks.
ML consulting FAQ
What engagement models do you offer?
For machine learning projects, we offer the following engagement models:
- Full project outsourcing
We take over your ML project and implement it end-to-end while enabling you to monitor our progress.
- Dedicated team
We assemble and manage a team of selected ML experts to work alongside your in-house or outsourced specialists on your ML project.
- Staff augmentation
We provide one or more ML specialists who will join your team and work under your management.
How do you integrate the ML solution with our legacy systems?
At the discovery stage, we analyze your existing technology environment and, drawing on this information, conceptualize the ML solution and define its components. If you want a fully-integrated solution, we can perform the necessary integrations; otherwise, we will pass all the necessary information and documentation to your in-house team.
Do we need the infrastructure to train ML models?
No, you don’t. Itransition can train custom machine learning models on local servers with increased CPU power as part of our service offering.
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