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Idea on AWS
INDUSTRIALIZE YOUR DATA & AI ESTATE MODERNIZATION JOURNEY
The advanced tooling needed to analyse the existing data estate and create a customized migration plan to a modern hybrid multi-cloud platform.
Cloud Data Foundation
A flexible scalable architecture that ferderates data from multiple sources ingests - batch, stream and API based and building a cloud-based datalake.
AI & ML
Integrates various data and AI components, to create a collaborative AI Hub that enables Data and AI workloads and solutions at scale.
Accelerated AI & Analytics with IDEA – Ontology Workbench to enable end users to create, upload and share Ontology via web based editor and visualizer feature.
Framework for Control, Monitoring, Auditing, Reconciliation and oversees all aspects of data trust and security across the enterprise, ensuring standards for cleanliness, compliance, privacy and ethicality.
Integrates a wide variety of existing and legacy tooling related to data governance, lineage, quality, and cataloging, ensuring data trust and security is maintained across the entire data estate.
Enterprise grade Server-less, OOB-Integrated, Configurable, Performant, Auto-audit enabled (Metadata driven) and Secured 'Visual Drag-n-drop Studio' to empower Citizen Data Scientist, Business Analyst users.
Automated Provision of Infra-as-Code using Terraform, with Auto-Scaling and High Availability. Enables cloud infra provisioning , network and platform security, and DevOps automation.