Data Modernization & Monetization
Data modernization implementations need to support current data consuming apps - which range from trusted reporting & tabular ML to LLM-RAGs & compound AI. But most firms cannot scale this maturity curve due to poor technology and architecture choices. In fact, many firms get stuck in just the first phase of data modernization, killing their M&A & revenue optimization successes.
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Dakshineshwari helps firms scale this ladder of data engineering and unlocks avenues of data driven business growth. Get help from the data transformation experts
4 Stages of Data Engineering
Today firms need to transform their data to support actionable insights, domain predictions, knowledge generation and reasoning - but the current mess of aging platforms and lack of intelligent data is holding back firms
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As these consuming applications get more complicated, the data intelligence necessary for different categories of applications also varies. There are at least 4 such stages of data engineering intelligence, depending upon application types - actionable reporting, traditional-tabular ML, Gen-AI & Vision-AI and Compund multi-stage AI.
Data Modernization Services
Cloud Modernization
Multi-pattern ingestion + enable cloud EDW/lake + dbt business logic
LLM Info Retrieval
Advanced info retrieval for Adv. RAG to acquisition of vision data.
DataOps-StorageOps
Unique e2e dataOps architecture, incl Storage mgmt & data Gov.
Info Modeling
Data Modeling for tabular data to creation of Knowledge Graphs for LLMs
Data Generation
Synthetic data generation, labeling & augmentation for multimodal data
Semantic Intelligence
Unique Data-IntelligenceOps to systematically enrich data semantics
Why Us?
Operating Model
"Give us access to your data & we'll take care of the rest" model - PaaS structure
Skip a Stage
Avoid sequential maturity steps and reach biz & tech goals quickly
Enhance Intelligence
Increase the capabilities of firm's data thru myriad tech - using statistics to LLMs
Next Gen App
Enable Next gen apps from RL, advanced RAG, Agents to Compound AI.