When fashion met tech, it wasn’t love at first sight. The marriage of these two industries has been fraught with mixed signals and gimmicks, redefining the fashion-tech relationship at every turn. It’s the same love story many industries are trying to narrate alongside emerging tech, as sensors and computers get smaller, faster and more powerful. Now that tech has found new ways to integrate into the actual fabrics we wear, how can fashion and technology better communicate for commercial success?
Who is Mr. Splashy Pants? It's a really cool humpback whale that got a new name, thanks to a Greenpeace campaign. In its efforts to get some needed support for its Great Whale Trail Expedition, a particular humpback whale in danger of possibly being killed by the Japanese Fisheries Agency, which is planning to kill 50 humpback whales in the Southern Ocean Whale Sanctuary. There's nothing that helps to get people riled for a campaign than putting a name to a face.
New baked-in machine learning tools take Splunk Inc.’s platform to the next level of big data management, but how can the company maintain the simplicity of its on-premises solutions in an increasingly popular multicloud world? Where many trade show keynote speeches garner obligatory “golf course claps,” the crowd at this week’s Splunk.conf event reacted to Splunk’s ML upgrades with “genuine applause,” according to one analyst attending the show.
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 Musk AND Zuckerberg or Musk + Zuckerberg.
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, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
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".