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Reflections On The Ntegra Greenside US 2016 Tour

Twentieth Ntegra Greenside US Research Tour – May 2016 Findings & Reflections

Reflections from Ntegra’s Chief Innovation Officer, Andy Jefferies on what was a great opportunity to learn more about the latest data domain developments and innovations coming out of Silicon Valley.

During the Ntegra US Research Tour weeklong event, we received presentations from thirty nine start up companies and three Venture Capital firms: Intel Capital, Andreessen Horowitz and Sequoia Capital) as well as Microsoft and Splunk.

Trends and developments associated with the management, manipulation and exploitation of vast amounts of corporate, social and sensor generated data were hot topics. What was previously considered hype is becoming normal as organisations realise the critical importance of data, big and small.

The compound effect of Moore’s Law fast approaching critical mass and continuing improvements in data processing techniques look set to enable new paradigms of machine learning and artificial intelligence (AI).

Read the Full Article Here

Reflections On The Ntegra Greenside US 2016 Tour

Twentieth Ntegra Greenside US Research Tour – May 2016 Findings & Reflections

Read Time
1
Minutes
Minute

Reflections from Ntegra’s Chief Innovation Officer, Andy Jefferies on what was a great opportunity to learn more about the latest data domain developments and innovations coming out of Silicon Valley.

During the Ntegra US Research Tour weeklong event, we received presentations from thirty nine start up companies and three Venture Capital firms: Intel Capital, Andreessen Horowitz and Sequoia Capital) as well as Microsoft and Splunk.

Trends and developments associated with the management, manipulation and exploitation of vast amounts of corporate, social and sensor generated data were hot topics. What was previously considered hype is becoming normal as organisations realise the critical importance of data, big and small.

The compound effect of Moore’s Law fast approaching critical mass and continuing improvements in data processing techniques look set to enable new paradigms of machine learning and artificial intelligence (AI).

Read the Full Article Here

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