The Industrial Internet Consortium (IIC) earlier this week announced the Smart Factory Machine Learning for Predictive Maintenance Testbed, which will be led by member companies Plethora IIoT and Xilinx. According to the IIC, the testbed is designed to explore machine-learning techniques and evaluate algorithmic approaches for time-critical predictive maintenance.
Thanks to the Internet of Things, mobile devices, cloud-based apps, geo information, social media activity, data is everywhere. It’s driving the way businesses generate revenue, service customers and develop new services. But, of course, not all data should be treated the same. Some can be stored, analyzed and acted upon later. Some data should be processed faster and analyzed in near real-time. And lastly, some data can’t wait. Streaming unbounded data allows companies can act on it in real-time.
Real-time and streaming analytics, artificial intelligence, IoT and other emerging technologies are changing the way business is done. And while digital disruption is great in theory, in practice the challenge, as most CIOs know, is finding the talent with the skills in those categories. A recent Robert Half Technology survey of 2,500 CIOs in 25 U.S. metropolitan areas confirms what you probably already thought: It’s a job-seekers market and employers face three major hurdles.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Obama AND Romney or Obama + Romney.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used.) For example, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".