Sat.Dec 15, 2018 - Fri.Dec 21, 2018

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How Big Data Assists in Disaster Relief and Preparedness

Dataconomy

Disasters are dangerous, but Big Data can help improve disaster relief and preparedness to cut back on lives lost and community damage. Historically, public policies have proved ineffective in providing adequate help for disaster-stricken citizens. A year after hurricane Harvey in 2017, for example, residents are still in the midst. The post How Big Data Assists in Disaster Relief and Preparedness appeared first on Dataconomy.

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OMSCS CS6601 (Artificial Intelligence) Review and Tips

Eugene Yan

OMSCS CS6601 (Artificial Intelligence) - First, start with the simplest solution, and then add intelligence.

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Dec 19 2018: 2018 Datacenter Trends

DataCentric podcast

In this episode of the DataCentric podcast, hosts Matt and Steve from Moor Insights & Strategy discuss the trends that drove the past year in enterprise compute. They touch on the just-released market numbers for enterprise server and storage, talk about how the realities of cloud are impacting innovation in a hybrid-cloud world, Nutanix, Microsoft Azure, and more. 00:00 Introductions 01:20 3Q18 Server and Enterprise Storage Numbers 02:20 The Impact of China on the Enterprise Hardwarwe Marke

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Artificial Intelligence Predictions for the year 2019

Dataconomy

Artificial Intelligence is dominating innovation in companies across the globe- doesn’t matter if they are giant conglomerates or young startups. According to a report by Research and Markets titled Artificial Intelligence Market by Technology, and Industry Vertical – Global Opportunity Analysis and Industry Forecast, 2018-2025, the global Artificial Intelligence market.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Why AIOps Must Move From Monitoring to Observability

Dataconomy

For some time, observability in IT operations has been associated with three data types that monitoring systems must ingest in order to be at least somewhat effective: logs, metrics, and traces. This limit to the type of data consumed is far from efficient when it comes to the true needs. The post Why AIOps Must Move From Monitoring to Observability appeared first on Dataconomy.

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