DIGIOTAI has been an early adopter to uncover and service insightful data driven insights enabling enterprises to take accurate decisions seamlessly, through our valued team of Data Scientists, Research Scholars, and Data Engineers.
DIGIOTAI has been an early adopter to uncover and service insightful data-driven insights enabling enterprises to take accurate decisions seamlessly, through our valued team of Data Scientists, Research Scholars, and Data Engineers.
Through our team of engineers, we cover the following gamut of offerings in the BigData arena –
– Strategy Consulting
Data Lake Architecture
Rapid Accelerator Programs
– Development, Data Integration & End to End Data Management
Big Data Development
Data Ingestion & Mining
Reports/Dashboards
Data Management (Aggregation, Filtration, Classification, Logic Modeling & Development, Output)
– Core Technical Skillsets
– Deep understanding of Big Data Technologies like NoSQL, Cloudera/Mapr/Horton Networks Hadoop distributions (HDFS, MapReduce, Hive, Pig, Flume, Sqoop, Oozie, HBase, ZooKeeper, Spark
– Niche expertise on MapReduce jobs in Java, XML using Eclipse builder
– Insightful on Data warehousing and ETL concepts using Teradata, Cognos, Pentaho.
– Hands on experience on Unix Shell Scripting & Python Scripting
Through our experienced team of PHD Scholars, Scientists, and Researchers, we cover the following offerings in the gamut of ML/DL arena –
– Prognostic Analytics (Edge Devices) – Prognostic Analytics for Cloud & Edge environments of today’s enterprises, encompass a deep leverage of algorithms and data modelling techniques
– Algorithms
Algorithms for Time Series Forecast
Algorithms for Predictive/Preventive Maintenance
Distribution and Deployment
IoT Devices, Electrical and Electronic Devices, Industrial Machines, Automobiles and Avionics
– Data Modeling
AI based Model building
Machine Learning Algorithms
Deep Learning Expertise
Cognitive
– Core Technical Skillsets
Niche expertise on ‘Survival Models’ such as AFT, Kaplan Meyer and Cox PH Algorithms
Insightful on PMML (Predictive Model Mark-up Language) for easy ‘Edge’ Deployments
Hands on with emerging technologies such as Theano, Scala, Spark, Python and R
Deep understanding and implementation experience with time series models such as ARIMA, Holt Winters, Random Forest, etc. for ‘Accurate Forecast’