Have you ever played a game on your iPhone and wondered how to share it with your friends? Of course, not everyone has iPhones, and they aren’t always watching the leaderboards on the Gaming app, provided by Apple. Well, guess what? You don’t have to take a whole other camera to take a picture of your iPhone to create a photo of that particular score you have achieved. All you have to do is simultaneously press the “Home Button” and the “Lock Button” on your iPhone. After that, your iPhone should consequently flash to white, as if it were snapping its shutter, and taking a picture. Afterwards, you should be able to find the picture in your Photo Albums and share it with your friends.                                                                                        

But, taking screenshots of your iPhone doesn’t always have to deal with your game scores, you can take screenshots of almost any happening on your phone and share it with people! Have you ever had a memorable texting conversation with your friend, where you mistyped something, and the conversation went haywire? Sharing it becomes easy by using this feature. Want to show how odd a website looks on your iPhone compared to looking at it on your computer, and give it to their support to fix it? Take a screenshot of it! The possibilities of this feature are endless, and can become timeless with a simple picture.

The python keyword global is used in a function to distinguish a local representation of a variable with the same name. 

glbvar = 0

def setglbvar():
    global glbvar # include this declaration so that updates to glbvar are NOT LOCAL to this function
    glbvar = 1

def printglbvar():
    print glbvar     # No need for global declaration to read value of globvar

setglbvar()
printglbvar()       # Prints 1

Let’s face it, fad or not, companies are starting to ask themselves how they could possibly use machine learning and AI technologies in their organization. Many are being lured by the promise of profits by discovering winning patterns with algorithms that will enable solid predictions… The reality is that most technology and business professionals do not have sufficient understanding of how machine learning works and where it can be applied.  For a lot of firms, the focus still tends to be on small-scale changes instead of focusing on what really matters…tackling their approach to machine learning.

In the recent Wall Street Journal article, Machine Learning at Scale Remains Elusive for Many Firms, Steven Norton captures interesting comments from the industry’s data science experts. In the article, he quotes panelists from the MIT Digital Economy Conference in NYC, on businesses current practices with AI and machine learning. All agree on the fact that, for all the talk of Machine Learning and AI’s potential in the enterprise, many firms aren’t yet equipped to take advantage of it fully.

Panelist,  Michael Chui, partner at McKinsey Global Institute states that “If a company just mechanically says OK, I’ll automate this little activity here and this little activity there, rather than re-thinking the entire process and how it can be enabled by technology, they usually get very little value out of it. “Few companies have deployed these technologies in a core business process or at scale.”

Panelist, Hilary Mason, general manager at Cloudera Inc., had this to say, “With very few exceptions, every company we work with wants to start with a cost-savings application of automation.” “Most organizations are not set up to do this well.”