The innovators in technology have long paved the way for greater social advancement. No one can dispute the fact that the impact of Bill Gates and Microsoft will be far reaching for many years to come. The question is whether or not Microsoft will be able to adapt and thrive in emerging markets. The fact that Microsoft enjoys four decades of establishment also makes it difficult to make major changes without alienating the 1.5 billion Windows users.

This was apparent with the release of Windows 8. Windows users had come to expect a certain amount of consistency from their applications. The Metro tile, touch screen interface left a lot to be desired for enough people that Microsoft eventually more thoroughly implemented an older desktop view minus a traditional Start menu.

The app focused Windows 8 was supposed to be a step towards a greater integration of Cloud technology. In recent years, Microsoft lagged behind its competitors in getting established in new technologies. That includes the billions of dollars the emerging mobile market offered and Cloud computing.

Amazon was the first powerhouse to really establish themselves in the Cloud technology market. Google, Microsoft, and smaller parties are all playing catch up to take a piece of the Cloud pie. More and more businesses are embracing Cloud technology as a way to minimize their equipment and software expenses. While it does take a bit for older businesses to get onboard with such a change, start ups are looking at Cloud computing as an essential part of their business.

But what does that mean for Microsoft? Decisions were made to help update the four decade old Microsoft to the "always on" world we currently live in. Instead of operating in project "silos", different departments were brought together under more generalized headings where they could work closer with one another. Electronic delivery of software, including through Cloud tech, puts Microsoft in the position of needing to meet a pace that is very different from Gates’ early days.

The seriousness of their desire to compete with the likes of Amazon is their pricing matching on Cloud infrastructure services. Microsoft is not a company that has traditionally offered price cuts to compete with others. The fact that they have greatly reduced rates on getting infrastructure set up paves the way for more business users of their Cloud-based apps like Microsoft Office. Inexpensive solutions and free applications open the doors for Microsoft to initiate more sales of other products to their clients.

Former CEO Steve Ballmer recognized there was a need for Microsoft to change directions to remain competitive. In February 2014, he stepped down as CEO stating that the CEO needed to be there through all stages of Microsoft's transition in these more competitive markets. And the former role of his chosen successor, Mr. Satya Nadella? Head of Microsoft's Cloud services division.

Microsoft may not always catch the initial burst of a new development in their space; but they regularly adapt and drive forward. The leadership of Microsoft is clearly thinking forward in what they want to accomplish as sales of PCs have stayed on a continuous decline. It should come as no surprise that Microsoft will embrace this new direction and push towards a greater market share against the likes of Amazon and Google.

Related:

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Is Cloud Computing Safe for Your Business?

Is The Grass Greener in Mobile App Development?

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.”

Invoking an external command in Python is a two step process:

from subprocess import call
call(["ls","-1"])

This section of our beginning python training class always stumps students.  Firstly, because they need to know the difference between a function and a method.  Secondly, they need to understand object oriented programming concepts.  Thirdly, they need to realize that python has three types of methods.  Then they need to know how to use each method, which means they need to know the purpose of each method type.  Then they have to understand mutable versus non-mutable types.  The list goes on.  As part of our python tutorial, I hope to shed some light on this confusing topic.

To begin, the difference between a function and a method in python is that a method is defined within a class.  Here is an illustration:

#function

	def greeting():
	                print "Hello, I hope you're having a great day!"

	class HSGPrinter(object):
	                #method
	                def greeting(self): 
	                                print "Hello, I hope you're having a great day!"

As should be obvious, the second definition of greeting is encapsulated within the HSGPrinter class and is , therefore, refered to as a method.

The astute reader will notice that the greeting method contains one parameter named self.  For those who know C++ , Java or C#, self is equivalent to this i.e. it is a reference to the invoking object: