Machine Learning Consulting Services: Tech Stack & Use Cases

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

8%

buyer conversion rate

ML-powered BI platform

Itransition delivered an advanced BI platform with an ML-powered recommender system and computer vision capabilities to help the customer predict user behavior and personalize customer interactions.

25%

customer satisfaction

ML-based shoppable video platform

Our team enhanced a video ecommerce platform with ML-based functionalities, allowing the customer to create shoppable images and videos for online channels and provide a frictionless ecommerce experience.

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

Media Director, YouGov Sport

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

Computer vision

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

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 or translation.

ML-based conversational bots
Spam filtering systems
Sentiment analysis tools
Cognitive automation software

Data mining

Itransition's consultants are well-versed in 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.

Machine learning solutions across industries

Healthcare

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

Banking

Itransition equips financial institutes with ML solutions to help them attract more customers, minimize credit score 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

Retail

We offer ML consulting services to help retailers create customer-centric shopping experiences, enhance inventory management, and ensure safer shopping environments.

Demand forecasting for inventory planning
Social media analytics
Marketing optimization and lead conversion
In-store video surveillance
Customer relationship management

Ecommerce

Our consultants help online retailers implement ML-based tools to deliver a more interactive and personalized user experience, optimize logistics, forecast ecommerce trends, and drive sales.

Chatbots and digital shopping assistants
Targeted marketing
Recommendation engines
Dynamic product pricing
Smart route planning and anticipatory shipping

Real estate

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.

Home search and recommendations
Property performance and market value prediction
Automated property management
ML-powered lead generation
Virtual tours

Manufacturing

We assist manufacturing companies in implementing ML-based solutions that enable them to work out an optimal maintenance schedule, 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

Logistics

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 breakdowns prediction
Dynamic route optimization
Estimated time of arrival (ETA) prediction
Supply and demand balancing
Warehouse layout planning and workload prediction

Marketing

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 automation
Customer lifetime value modeling
Customer churn prediction

Stock market

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.

Stock price forecasting
Market sentiment analysis
Automated trade execution
Financial fraud detection
Autonomous stock trackers

Education

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 transcription
Virtual reality for professional training

Agriculture

We help agricultural organizations adopt ML technology to enable the security of remote facilities, ensure better yields, and improve pesticide effectiveness.

Yield mapping and estimation
Disease detection and treatment recommendations
Classification of plant species
Crop quality detection and classification
Livestock health condition monitoring

Entrust your machine learning project to Itransition

Book a free consultation

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

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

Clustering algorithms Regression algorithms Classification algorithms

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 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?

For machine learning projects, we offer the following engagement models:

Dedicated team
We provide a team of selected ML experts for long-term collaboration. The price depends on the time spent to complete the defined tasks.
Time and material
Itransition provides ML consultants for a set fee, with the final cost depending on person-hours and materials spent on your project.
Fixed-price
Our ML specialists will join your project for a fixed price according to an approved scope, development budget, and timeline.

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.

How do you guarantee the safety of our information?

We make sure your information is processed according to the industry’s best practices and protected with solid cybersecurity measures, including role-based data access, multi-factor authentication, 24/7 user activity monitoring, and data exchange encryption.

Do we need the infrastructure to train ML models?

No, you don’t. Itransition can train machine learning models on local servers with increased CPU power as part of our service offering.

What if we don’t have enough data for training models?

To handle the lack of data and meet established objectives, our machine learning experts help you set up the data collection and generation processes, complementing your corporate data assets with external sources if necessary. We can also leverage cloud-based services providing pre-trained 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.