2017 Data Integration Reporting 
O'Reilly on Data
JANUARY 29, 2019
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. We found companies were planning to use deep learning over the next 12-18 months.
Information Builders
AUGUST 30, 2017
Download the report here. 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. read more.
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datapine
NOVEMBER 27, 2019
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.
O'Reilly on Data
DECEMBER 19, 2018
Given that the results produced by any model will reflect the data used to create the model, how do you ensure your data collection process is fair, representative, and unbiased? This isn’t surprising; if you’re collecting data from several weather stations and one of them malfunctions, you would expect to see anomalous data.
Ontotext
MAY 30, 2019
Let’s imagine Johnny Mnemonic – Keanu Reeves’ character from the cyberpunk action thriller movie of the same name – who is carrying a data package inside his head. He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. TechRadar: Artificial Intelligence Technologies, Q1 2017.
Ontotext
MAY 30, 2019
Let’s imagine Johnny Mnemonic – Keanu Reeves’ character from the cyberpunk action thriller movie of the same name – who is carrying a data package inside his head. He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. TechRadar: Artificial Intelligence Technologies, Q1 2017.
Sisense
JANUARY 14, 2021
The team at Billie was willing to do whatever it took to make sure users had high-quality reports they could trust. However, the methods they had at their disposal initially couldn’t keep up with their growing user base and the ever-evolving world of big data. He works on reporting, analysis, and data modeling.
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