- A Fully Managed, Secure & Compliant AI Engineering & Analytics Platform-as-a-Service
- Offers highly Modular, Scalable and API-driven Solution to Enable AI Engineering, Data Analytics, Data Security, Compliance and Derive Meaningful Insights out of your Datasets
Digital Transformation for Data Lake and Data Analytics Pipeline!
Digital Transformation in HCLS requires digitizing large amounts of legacy data & processes. Moreover, the adoption of Business process automation requires complex integrations with disparate tools and solutions. This means that currently Data driven decision making is challenged by the capability of collecting and managing Data at scale. For HCLS, the added constraints of accounting for Security & Compliance controls for PHI and PII level of Data must be factored in. Managing such complex entities is cumbersome and not cost effective. HCTI has helped many healthcare and Life Sciences companies to meet and exceed these challenges by offering a highly modular, scalable, secure, and compliant AI Engineering & Analytics platform in the form of DataEz.
DataEz offered -as-a-service, allows you to focus on your data and its meaningful insights. The DataEz framework is highly modular, scalable, HITRUST certified and API driven, where Data ingested in the platform is tested for quality based on customized rules, classified for PHI/PII and tokenized or anonymized. Ingested data is cataloged and its provenance captured for search and discovery. Our core foundational components of the platform are deployed as microservices to build automated end to end data pipelines, leveraging APIs. Hence, data scientists/data engineers can automate the entire process from ingestion to analysis in a single CLICK. You can deploy and operate our cost-effective data analytics platform, DataEz, in days without any loss of scale or functionality.
DataEz Platform and its Capabilities
AI In Healthcare - Use cases
AI is applicable in every aspect of healthcare & life sciences. Including but not limited to:
Currently the adoption of AI is already increasing by contributing significantly to data driven decision support and diagnostics through image analytics, video analytics, text analytics and mining.