Machine learning consulting
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
Standing partnerships with Microsoft and AWS
Delivering AI solutions in full adherence to HIPPA, GDPR, FDA, and other standards and regulations
Client spotlight
Our customers say
Over the course of our collaboration with Itransition, we were consistently impressed with both 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
The scope of our machine learning consulting services
Business analysis
- Identifying business needs via discovery workshops, interviews, and process observations
- Selecting use cases where it makes sense to opt for ML over conventional software
- Assessing the customer’s current technical environment
- Helping define the solution’s functional and non-functional requirements
Initial data analysis
- 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)
- Developing 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
- 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?
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 and autonomously trigger certain actions.
- Medical image analysis software
- Video surveillance solutions
- Smart inventory management tools
- Visual inspection systems
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 development
- Automated EHR and data management workflows
Related services
Artificial intelligence
With expertise in a full spectrum of cognitive technologies, we can craft artificial intelligence solutions tailored to your requirements, streamline their deployment to your corporate scenario, 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 performance through experience.
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.
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.
Languages
Python
R
Objective-C
C++
Java/Kotlin
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 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 within a shorter time frame 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?
How do you integrate the ML solution with our legacy systems?
How do you guarantee the safety of our information?
Do we need the infrastructure to train ML models?
What if we don’t have enough data for training models?
Service
ML services and solutions from certified machine learning experts
Get ML consulting and development services from machine learning experts. Proven expertise in artificial intelligence, machine learning, and data science.
Insights
Machine learning statistics
Itransition presents the ultimate list of machine learning statistics: market data, ML adoption by industries, economic impact, investments, and other facts.
Insights
Top machine learning use cases and industry applications
Discover top machine learning use cases and their examples across industries and learn how they make a difference for the companies.
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AI use cases: 3 rules to find the right one for your business
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Case study
ML PoC for aquatic environment analysis
Learn more about a PoC of an ML-based plankton detection and classification solution we developed, proving the suggested approach.
Insights
Supervised vs unsupervised machine learning: a selection guide
Find out how supervised and unsupervised learning work, along with their differences, use cases, algorithms, pros and cons, and selection factors.