We now live in a data-driven environment
- Machine learning is one of those transformational technologies that occur once per generation
- It is already embedded in the services and products that we use every day
Many industries will be deeply transformed
- Machine learning is an ultimate optimization instrument
- Helps create new products and services
- Cuts costs and automates processes
Staying ahead of the game is critically important
- Machine learning is here to stay
- Do you do enough to keep up with the tranformation and not lag behind?
Embracing machine learning is better than losing market share
- Takes an informed approach, the right people and the right tools
What we do
We are a machine learning agency that delivers ready-to-use ML apps and training
DataFactory
Ready-to-use machine learning apps + data silo
Apps delivered SaaS or on-premises - a data lake that starts from credit reports and scales to the Common Data Model to handle data from ERP, CRM, service desk, etc.
DS/ML training
Re-train employees, rely less on hiring
Core machine learning track – DataCamp courses, real-life projects and our domain-specific expertise
Deep learning fundamentals – CV and NLP with PyTorch
TeamHub
Single source of truth for technical documentation
A documentation hub delivered as a fast & easy-to-maintain website that publishes docs & code in multiple formats
DataFactory: ML apps and data silos
Data science operations start with data. Our versatile DataFactory helps get the most of your data
Cloud and on-premises
Azure SQL Database, Azure SQL Server and on-premise SQL Server to match requirements of any scale and complexity – big & small, complex & simple
Extensible data model
1) Starts with a 3NF datastore re-engineered from credit reports; 2) Loads various data sources into an Azure data lake that runs on CDM; 3) Delivers a single source of truth in data integration projects
Simple data engineering
Built-in data pipelines require no 3rd applications. Python / R code is natively supported –> models run straight on the data.
No data reshuffling = speed + simplicity
DataFactory editions
Community
$0/ forever
- Free data model/schema
- DataStore schema in SQL Server
- ML tools -- DIY
- Data pipelines -- DIY
- Customizable by you
- On-premises maintenance
Enterprise
$$$/ once
- Cost to buy & to own
- DataStore schema in SQL Server
- 2-4 ML model samples
- SSIS data pipelines
- Customized by us
- On-premises maintenance
Azure
$/ month
- SaaS monthly payments
- DataStore and/or CDM schema
- 2-4 ML model types
- Standardized data pipelines
- Add-ons, apps -- TBD
- Low maintenance cost
Azure Custom
$$/ month
- SaaS monthly payments
- DataStore and/or CDM schema
- State-of-art ML models
- Customizable data pipelines
- Extras -- dashboards, add-ons, apps
- Low maintenance cost
DS/ML training: classic ML and deep learning
We teach the same curriculum and code that we use to build our products
Theory and Practice
We bridge the gap between theory and practice.
Our own R / Python / SQL code libraries + instructor-led onsite training + lectures by university professors + world’s best online courses + practice based projects + the ‘TeamHub’ documentation engine.
All the tools of DS/ML
Core ML track - classic curriculum - data exploration; visualization; feature selection; classification; regression; model selection
Real-life practice-based DS/ML projects
Deep learning fundamentals and projects
Who the training is for
Risk managers
- 300+ variables from DataStore
- Thorough default risk estimation
- Portfolio monitoring
- Basel and IFRS9 foundation
- Great data visualization features
Core ML track / DL fundamentals
Analysts
- Process large tables fast
- Learn how to use databases
- Take Excel to another level
- Programmatic financial analysis
- Marketing campaign assessment
Core ML track recommended
Product owners
- Learn data exploration
- Test hypotheses early
- Embed DS/ML into products
- Create new products
- Analyze customer retention
Core ML track recommended
Data scientists
- Promote code re-use
- Strong headstart for juniors
- Learn DL to improve ML models
- Build CV and NLP models
- Upgrade Python skills
Core ML track / DL fundamentals
TeamHub, a hub for code, docs and teamwork
Share knowledge across multiple teams. Keep projects’ documentation in order
Reproducible knowledge
TeamHub is a publishing platform that stores source files in light-weight Markdown files and makes them available to end users as HTML, PDF, online textbooks and presentations. Easy to maintain, open-source, free, unlimited installations.
Standardized workflows
Combined with version control tools like Git, TeamHub ensures code versioning integrity, promotes code re-use, makes it easy to share code & documentation, thus streamlining company-wide DS/ML workflows.
You might have questions about our products
We’ve put answers to some typical questions in ‘FAQ’