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How companies are building sustainable AI and ML initiatives

O'Reilly on Data

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. Companies are building or evaluating solutions in foundational technologies needed to sustain success in analytics and AI.

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Gartner's Magic Quadrant for Data Integration Tools 2017

Information Builders

I don't normally do this, but I'm going to quote the entire first paragraph of the "Context" section of Gartner's Magic Quadrant for Data Integration Tools. Download the report here. read more.

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The Market of Data at Strata

David Menninger's Analyst Perspectives

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data.

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Deep automation in machine learning

O'Reilly on Data

Data provenance and lineage isn’t just about the quality of the results; it’s a security and compliance issue. These tools automate the process of building models: trying different algorithms and topologies, to minimize error when the model is used on test data. That's a good vision for where we need to go, but we're not there yet.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

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If Johnny Mnemonic Smuggled Linked Data

Ontotext

He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic technology to represent and govern knowledge.

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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. Just as not every application is best served by the public cloud, not every organization is as well. We have no choice.

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