The processes for IT, facilities and human resources (HR) are broadly similar and do overlap, such as with commencement and exit procedures, and can easily be brought together in a single tool to manage. However, even when doing so and when supporting departments have their own tools and processes, it is not always clear to end users where they should turn for support. For instance, in practice the management of mobile phones can be sourced to each of these departments, or a combination thereof. The collaboration between IT, facilities and HR, also called shared service management, cuts costs and improves the quality of service for end users.
Plummer said that IT leaders need to view things as customers and work to satisfy "their nonhuman requests." Reality check: This prediction sounds like it came from Salesforce, which is betting on the machine-thing-customer connection. Things requesting support won't be a surprise. ...
3 million workers will be supervised by a roboboss by 2018. Reality check: The theory here is that humans will focus on creativity, relations and strategic planning. Umm ok. Societal norms as well as politics will likely to put off the roboboss for a few more years. ... Half of the fastest growing companies will have more smart machines than people by 2018. Reality check: Not surprising, but 50 percent may be a bit too high for that time frame.
We all know success will be a team effort. So you send your best reps into the battle. But what if you don’t have enough “best reps”? Simple. You hire more. That may not seem so simple. But what if you had a defined process for bringing in the right reps? That’s what we’re going to discuss in this post. We’ll talk about how to hire pros who can get the job done. ... The seven essentials all are action items. They’ll help you bring in revenue-focused people who can get you to goal. But it’s not enough to know what the seven are. Each is a separate entity with plenty for you to consider. In the end, they fit together into a unified whole: your talent strategy.
In the past decade, Amazon has come to dominate yet another business: cloud computing. And now, as Amazon Web Services solidifies its grip on the business of selling computing services to companies over the Internet, it’s having to answer the sort of questions that dogged Microsoft when it ruled desktop computing: Will it lock customers in to its technology? Will it squish smaller tech companies that pioneer AWS niches when those businesses become lucrative? Now nearly 10 years old, AWS has left giants such as Microsoft and Google in its wake. Market-research firm Gartner thinks AWS is “the overwhelming market share leader,” running more than 10 times the infrastructure cloud-computing capacity as the next 14 largest rivals combined.
Snowden, the fugitive former NSA analyst, caused another stir this week when he revealed how British spies can turn smartphones belonging to suspects on and off from a remote location, and record what is happening around them. The spying agency effectively takes over the phone, and it can be used to track the target. This is what one would expect from a spying agency, but variations of this kind of snooping technology are widely available, and can even be used by ordinary individuals. Using smartphone technology to spy on another person is remarkably easy, according to Noonan. "Ordinary iPhones have a feature called Find My Phone, and once you have the password, you can find out where the phone is. So it acts as a tracking device."
Text Mining, is one of the most frequent yet challenging exercise faced by beginners in data science / analytics experts. The biggest challenge is one needs to thoroughly assess the underlying patterns in text, that too manually. For example: it is pretty common to delete numbers from the text before we do any kind of text mining. But what if we want to extract something like “24/7”. Hence, the text cleansing exercise is highly personalized as per the objective of the exercise and the type of text patterns. ... You may find numerous ways on internet to do sentiment analysis. However, subject extraction is very specific to the context. In this article, I have shared the top 4 hacks applied in the industry to do subject extraction in R.
Now if you take the word compliant and put it into a translator, or search on Wiki, you get something like this: abide by others, docile, obeying, obliging, agreeing with a set of rules, adherence to standards, regulations, and other requirements. Now there are definitely different compliances to be compared to but, in general, you comply with a need or rule set up by others or yourself. ... Whether it is a process or requirement, it doesn’t really matter. What matters is how compliant you are, and that’s the tricky part. What risk are you willing to take? Do you understand the ‘data or information’ you have? Do you have the knowledge to see the risks and take decisions on the level of compliance you want or need? What actions you need to take?.
When cybercriminal create malicious code, their purpose is to make it appear as legitimate as possible. This is done by using signing certificates to sign their code. By stealing private keys of certificates using Trojan horses or by compromising the certificate key builder of software vendors, cybercriminals manage to get access to code signing certificates. When the researchers discovered that fraudsters used valid certificated, the first thing that came to their mind is that they somehow manage to acquire them directly from the certificate’s issuer. ... It can be rather difficult to separate legitimate from dummy companies and this is due to the fact that cybercriminals take all the required steps for making it appear as authentic.
Quote for the day:
"There is a difference between knowing the path & walking the path." -- Morpheus