For more information or customized pricing, please email us: ibm_data_and_ai@wwpdl.vnet.ibm.com

At its core, Data Science and MLOps requires data fabric, an architectural approach to simplifying data access across the organization, automating data discovery, governance and consumption to drive better decisions. IBM Cloud Pak for Data available on AWS and running on Red Hat OpenShiftprovides this end-to-end data science platform, simplifying data access, automating data discovery and curation and securing sensitive information through automated policy enforcement. Integrated data science tools drive transparency and trust throughout the AI Lifecycle, delivering consistent repeatable processes that automate model building and production and minimize model risk, bias, drift and auto retrain models.

Outcomes:

• Streamline data access and cleansing for your data science. Access to more than 70 connects from IBM and 3rdparty data sources
• Accelerate the AI model lifecycle. Improve stakeholder collaboration and speed insights with and end-to-end data science platform
• Operationalize model governance at scale. Minimize model risk, drift and bias. Retain models using validation to better meet compliance and security concerns.
• Drive AI transparency. Connect human needs of anti-bias and privacy to business goals of driving AI insights and profits.