2018 Internet of Things Marketing Reporting 
Smart Data Collective
DECEMBER 3, 2021
The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. It is also one of the most relevant tools in every industry this year, according to the “Technology Radar 2018” prepared by the engineering company BBVA Next Technologies, of BBVA.
datapine
NOVEMBER 19, 2019
If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. For businesses looking to improve their consumer marketing communications, finding relevant images in real-time is a time-consuming venture. The solution?
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John Wheeler
DECEMBER 18, 2018
Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. The top rated emerging internal risk is “lagging digitization” and this is the first time it has appeared in our quarterly report.
DataRobot Blog
APRIL 1, 2018
Although some product solutions disrupted the operational reporting market, they require users to know the questions they need to ask their data. Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud.
CIO Business Intelligence
MAY 3, 2022
This decentralization of computer power, known as edge computing , progressed slowly; in 2018, just 10% of enterprise data was being processed outside of cloud-based data centers. . Think about the implications for manufacturing sites involved with what’s known as the Industrial Internet of Things (IIOT ).
CIO Business Intelligence
APRIL 26, 2023
In 2018, the $8 billion global semiconductor manufacturer announced a pivot in its business strategy: The company would no longer develop and produce 7-nanometer and smaller chip technologies; instead GlobalFoundries would focus on producing specialized chips for high-growth markets such as automotive, 5G, and the internet of things.
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. 3) Artificial Intelligence.
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