Data Science/AI-ML solutions

Explore how we leverage advanced AI technologies to enhance predictive modelling and analysis to drive innovation in your business strategies.

NLP Solutions: Text analysis, sentiment analysis, and language understanding.

Deep Learning Applications: Advanced neural network solutions.

Computer Vision: Image recognition, object detection, and video analysis.

AI/ML Automation: Streamlining the AI lifecycle with MLOps.

Predictive Modeling: Future trends forecasting and decision-making.

Data Analytics & Business Intelligence

Transform your data into actionable insights with our expert data analytics and business intelligence services.

Dashboard & Visualization: Interactive reports and real-time insights.

KPI Tracking: Performance metrics and operational monitoring, for enhanced Business Process Analysis.

Advanced Analytics: Statistical and predictive analytics for deeper insights.

Business Intelligence Consulting: Providing strategic guidance on data-driven decision-making.

Reporting Automation: Streamlining the reporting process through automated tools and systems.

Data Engineering

Transforming data into actionable insights for informed decision-making.

Automating Data Ingestion: Creating data pipelines for ETL, and ELT processes, and orchestrating them.

Cloud Data Solutions: Architecting scalable data ecosystems on AWS, Azure, GCP, Snowflake and Microsoft Fabric.

Data Storage Optimization: Efficient data lakes, warehouses, and lakehouses.

Real-Time Analytics: Streaming data processing for immediate insights.

Data Governance & Security: Ensuring compliance and data integrity, along with data quality.

Data Migration: Migrating data from cloud data warehouse to cloud data warehouse or on-premise to cloud data warehouse, and subsequent EDW (Enterprise Data Warehouse)

Data Science & AI/ML Training (Including Gen-AI)

Be part of our knowledge catalyst, and upskill your team, your students or upskill as an individual as part of an instructor led training on various topics. The topics include Generative AI, Large Languge Models, Natural Language Processing, Machine Learning, Deep Learning, Data Engineering and Data Analytics. Everything is customizable as per needs.

Gen-AI: Basic & Advanced Course on Generative AI and its applications, along with hands-on industry projects.

Data Science/AI-ML: A comprehensive course covering all parts of data science with focus on machine learning, deep learning, Natural language processing, large language models, data visualization and databases, python programming and statistics, along with hands-on industry projects.

Data Engineering: Basic & Advanced Course on both on-premise and cloud systems involving AWS, GCP, Azure, Snowflake etc., which covers ETL and ELT, including data migration, data warehousing, data pipelines and orchestration, along with hands-on industry projects.

Data Analytics: A comprehensive course that includes concepts involving data extraction, data transformation, exploratory data analysis, statistical analysis, data visualization and data storytelling using MS Excel, SQL, Python, Tableau, Power BI etc., along with hands-on industry projects.

Industry and Domain specific Analytics: A comprehensive course that is tailored specifically for a domain or industry (EX: Finance, BFSI, Marketing, Accounting, Cybersecurity etc.), and covers the application of Gen-AI, AI/ML, Data Science, Data Analytics in that specific industry, with concepts, examples, case studies along with hands-on industry projects.

Prompt Engineering: Basic & Advanced Course on prompt engineering that encompasses Large Language Models and Large Vision Models across the multimodal spectrum, along with hands-on industry projects.

AI & Data Product Development

Transforming data into clarity and actionable insights as a product