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Wherever you are on your ESG
Let's take a glance at the ESG eco-system
journey SOFTSERVE CAN help you ALL
solution functional architecture
THE WAY to your end objectives
Value
FULL-SCALE INTEGRATION
Integration of the real-time fair pricing result into the decision-makig process, risk management and porfolio management process
ESG PRICING
- Rating to price models
- What-if scenarios analysis
- Bottom-up decision analysis
INTERNAL RATING SYSTEM
- AI/ML models for rating of the formal data and informal incidents
- AI/ML for cold start
CONTINUOUS DATA FLOW
- Analysed and processed non-structured (informal) data
MDP-INJECTION
- Market data providers scores w/o quantitative interpretation
DATA
Historian, Data Lake, DW, virtualization, streaming & ingestion
ANALYTICS
Dashboards, operational analytics, notifications and alerting, self-service analytics
INTEGRATION
Cross-system integration ecosystem, including integration with MDPs, Google API, scrapers, etc.
AI / ML
NPL models for data extraction and processing, rating models, sensitivity models, Q-to-Q models, MLOps for AI/ML management
GPU-BASED INFRASTRUCTURE
Infrastructure allowing real time processing of the significant volume of data and corresponding AI/ML models
Complexity
To Improve Outcomes and Enhance QualitySoftServe has a built-in accelerator – The ESG NEWS IMPACT IDENTIFICATION TOOL
The ESG Ecosystem solution –
Gathers, Analyzes & Delivers
Extraction of the ESG-related information and further analysis using NLP models
Gathering of structured and unstructured data through the integration of MDPs, scraper, APIs, etc.
Usage of GPU based architecture to enable processing pf large volume of data amount of models
AI/ML models to convert ESG ratings change into the price and risk values of the instrument
Data flows and prosesses are oriented on the integration of ESG calculations into the real-time deision-making process
Management of the AI/ML models’ life cycles
ML-based Analytics Transforms Data into Actionable Insights To Remove ESG Investment Uncertainties
Gathers and analyses structured and unstructured data
Applies NLP analysis of the non-structured data
Leverages impact analysis of ESG-related incidents
Provides scoring, and conversion of qualitative factors into quantitative price/risk-related measures
COMPONENTS
BENEFITS
Ready-to-use environment that easily integrates with client’s infrastructure
Solution receives data from the scrapper and API-based sources
ML models are source-agnostic
ML training environment is part of the ready-to-use solution
Standard data structure covering financial industry standards
Retail industry selected for the scope of the accelerator (Retail has big ESG impact and quite big number of cases)
Solution identifies portfolio entities by full name, nickname, ticker
Align investment analysis approach, by applying a common framework
Close the uncertainty gap in ESG news completeness
Transform abundant data into actionable information
Support investors demand with reliable value analysis input tool
SEE THE DEMO