Rita Sallam

APRIL 2, 2023

We also gave the demo script and data set to all vendors in the Exhibit Hall to create demos for their booths and to submit for this blog. This blog highlights some notable findings and the videos from participating vendors. From there, participants were randomly selected and invited to present live at the Show Floor Showdown sessions.

Optimization 52

Optimization Machine Learning Insurance Risk 52

IBM Big Data Hub

FEBRUARY 22, 2024

Providing interpretable AI model metadata (for example, as factsheets ) specifying accountable persons, performance benchmarks (compared to human), data and methods used, audit records (date and by whom), and audit purpose and results. Capture key metadata to render AI models transparent and keep track of model inventory.

Metadata 101

Metadata Measurement Risk Modeling 101

IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. With this expanded observability, incidents can be prevented in the design phase or identified in the implementation and testing phase to reduce maintenance costs and achieve higher productivity. Realize the benefits of automated data lineage today.

Cost-Benefit 100

Cost-Benefit Metadata Data Governance Reporting 100

IBM Big Data Hub

APRIL 11, 2024

For example, New York City published its own AI Action plan in October 2023, and formalized its AI principles in March 2024. The post AI governance is rapidly evolving — Here’s how government agencies must prepare appeared first on IBM Blog.

Risk 78

Risk Consulting Modeling Data Processing 78

AWS Big Data

MAY 24, 2023

Update your-iceberg-storage-blog in the following configuration with the bucket that you created to test this example. S3FileIO", "spark.sql.catalog.dev.warehouse":"s3://<your-iceberg-storage-blog>/iceberg/", "spark.sql.catalog.dev.s3.write.tags.write-tag-name":"created",

Data Lake 81

Data Lake Snapshot Metadata Optimization 81

Sisense

AUGUST 21, 2020

The article starts with a big statement about AI starting to operationalize, moving the requirements for data and analytics infrastructure to accelerate the development and adoption phase: “By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures.”.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112