For a while, it wasn’t easy to find the offices of Reconstructed Living Labs, or RLabs, as it’s known. There were no signs saying it was housed at Impact Direct Ministries, the community outreach arm of the Cape Town Christian Fellowship Church. And until it was corrected, Google Maps would guide you to an empty field across the road from a row of council houses in the working class neighbourhood of Bridgetown.
Is desktop virtualisation playing a part in the digital transformation of businesses? Ian Jansen van Rensburg, senior manager, VMware: In many ways, this question is like asking if Windows 365 is promoting cloud computing. It’s a component of the digital world, and it’s a component of the service being offered through a porthole. I look at desktop virtualisation as a solution that would still run traditional applications centrally from a datacentre.
Prof. Barry Dwolatzky, Wits University's Joburg Centre for Software Engineering: Being professorial, I can say the concept of big data is probably more a buzzword than a thing. The definition has become something that does not look at the size of the data, but, rather, at the bringing together of different types of data and making sense of it. It's really how we joint different sets of data and deal with it. It also has quite a lot to do with how we are collecting data in the digital age.
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".