Dataconomy

DECEMBER 18, 2018

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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Big Data Big Data Internet of Things 195

Eugene Yan

DECEMBER 19, 2018

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

Artificial Intelligence 100

Artificial Intelligence Artificial Intelligence 100

DataCentric podcast

DECEMBER 18, 2018

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

Azure 40

Azure 40

Dataconomy

DECEMBER 21, 2018

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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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 194

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

Dataconomy

DECEMBER 21, 2018

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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