International Business Machines Corporation

Emma Rose Tucker

Sameep Mehta

Brian Lee White Eagle

Himanshu Gupta

Andrzej Jan Wrobel

Rajmohan Chandrahasan

Cameron Fuller

Methods, systems, and computer program products for identifying anomalous transformations using lineage data are provided herein. A computer-implemented method includes generating a set of column profiles for a corresponding set of columns within one or more datasets based at least in part on lineage data and glossary data, wherein the lineage data comprises information related to transformations performed on each column in the set by a computing platform, and wherein the glossary data comprises information related to one or more terms assigned to one or more of the columns; obtaining information related to a new transformation involving at least one column in the set of columns; comparing the new transformation to the set of column profiles to determine whether the new transformation is anomalous; and in response to determining the new transformation is anomalous, outputting an alert to a user of the computing platform.

Identifying anomalous transformations using lineage data

A method is provided for adjusting settings of environmental devices of a system connected via a network to an automation hub. A prompt is received to start playing content on an appliance of the system during a time period. The content is played during the time period. A profile associated with the content is requested, where the profile includes a set of parameters for the environmental devices. The profile is received during a predetermined period of time. While the environmental devices are in operation, the settings of the environmental devices are adjusted based on the set of parameters.

Adjusting settings of environmental devices connected via a network to an automation hub

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Austin, TX, United States of America

Emma Rose Tucker