Without observability, the acceleration of digital transformation could be a risky ... organizations need to analyze massive amounts of log data to identify potential security incidents and ...

Now is the time to underscore how security programs can move beyond risk mitigation to become a proactive driver of digital ...

The more technology an organization has, the harder it seems to transform them further. This sounds like a real problem. However, artificial intelligence aims to break this log jam. First ...

1. Ecological count data (e.g., number of individuals or species) are often log-transformed to satisfy parametric test assumptions.2. Apart from the fact that generalized linear models are better ...

Approximately 30 percent of the data in the data centers is just log data, information that's being spewed out by our devices applications and servers. We have the Log Data Warehouse that ...

For a limited time, new users that sign up by midnight Pacific Time on November 11th can get one free terabyte (1TB) of log data credits. “As organizations transform and expand service offerings ...

Comprehensive Monitoring: With detailed logging features, teams have full visibility into the transformation process, making debugging, and auditing a breeze. Post-Indexing Data Transformations ...

you bring the business to the data instead of taking the data to the business," he says. Also: Digital transformation: Trends and insights for success At Caterpillar, Hootman has built a ...

The healthcare data transformation company is also announcing partnerships with Oscar Health and CareAbout Health that will contribute to its open-source data network. Tuva offers the first open ...

He is joined at Orrick by a five-person data and business transformation team including head of data Chad Schuessler and director of business transformation Adam Marsland. The group is based in ...