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FOSFOR Optimizing the Data to Decisions Lifecycle
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FOSFOR ANTHOLOGY SESSION
Optimizing the Data-to-Decisions Lifecycle
Wednesday, 20th April 2022 at 5pm IST
In this series of presentations, data and AI experts from Fosfor by LTI guide you through the stages of the Data-to-Decisions journey, and the capabilities required to navigate it. Tune in to learn more about:
- DataOps: How to improve collaboration, integration, and automation of data flow between data managers and data consumers across your organization
- Unstructured Data Processing: How to identify, categorize, and extract data from all types of sources so that it can be analyzed—and monetized
- Data Fabric: How to create an environment to empower your users to discover, organize, and focus on the value of all their data, analytics, and knowledge assets.
- MLOps: How to enable your team to focus on AI model development without the added overhead of operationalizing their models
- Augmented Analytics: How to go beyond traditional BI—and custom analysis/reporting—to enable anyone in your organization to ask your data questions and get natural language results, in real time.
Optimizing the Data-to-Decisions Lifecycle
Wednesday, 20th April 2022 at 5pm IST
In this series of presentations, data and AI experts from Fosfor by LTI guide you through the stages of the Data-to-Decisions journey, and the capabilities required to navigate it. Tune in to learn more about:
- DataOps: How to improve collaboration, integration, and automation of data flow between data managers and data consumers across your organization
- Unstructured Data Processing: How to identify, categorize, and extract data from all types of sources so that it can be analyzed—and monetized
- Data Fabric: How to create an environment to empower your users to discover, organize, and focus on the value of all their data, analytics, and knowledge assets.
- MLOps: How to enable your team to focus on AI model development without the added overhead of operationalizing their models
- Augmented Analytics: How to go beyond traditional BI—and custom analysis/reporting—to enable anyone in your organization to ask your data questions and get natural language results, in real time.