In a recent conversation with a senior executive from my company he shared his desire of being able to kick his laptop and be able to use his mobile device for all his tasks. Some can argue that Phablets actually provide such facility .
The smartphones at present do provide some level of such liberty but it seems not good enough. The requirement actually was use the mobile like an actual computer when required and also be able to carry it around with ease along with being able to actually use it as a phone to communicate.
All the recent surveys do point towards the fact that people have started to accept the Tablets as the better way. PCs and Laptops are hard to carry around and hinder mobility. One of the important factor that can catalyst this changeover is the way in which a tablet can provide the comfort of a laptop and still being so sleek. A tablet should not just be a brick or slate in hand that is hard to handle. Tablet users often have to shell out more to find a dock, which assists in usage of the tablet. If one really wants to switch from a laptop to tablet one should know that the tablet should be as comfortable as the laptop. The lenovo yoga tablet is one such device that is so easy to handle and yet more ergonomic to use.
This can be a great boon to executives who mix working in a office and travelling. Be able to dock your phone and use it as a computer working on your precious presentations, documents, just as you would do in a PC and then take it along when you are out travelling.
So are you ready to kick the laptop …
There are times when I feel like being in a lonely railway station having missed the last train. Only optimism could be the reason for me still waiting here. With hope that there will be another train that will come and I can board it. It has been a boring experience with no one else to talk to and hope alone fueling and keeping me going. The dim light of hope keeps diminishing as time passes. All those small things that I do, happiness I try to see keeps me entertained. Sometimes I think I should have rather kept walking may be reached half way through instead of idling out here. Confusion kicks in and sometimes make me worry whether I have wasted time waiting here, whether I have passed the critical time. Do I still have a chance of starting my walk and make it to my destination in time or I better not loose patience and wait for some more time.
While all these thoughts have started boggling my mind I see a dim light in the far yonder which I am not sure if its moving towards me or just stationary. Should I wait or start walking.
Its still mid night and long before the day break.
Big data has been the talk of town for a quite a time but it’s going to get louder with the analyst reports predicting that the demand for Big data expertise is going to be so huge and will probably not met due to non-availability of big data experts.
In a newly released forecast, International Data Corporation (IDC) projects that the worldwide Big Data technology and services market will grow at a 31.7% compound annual growth rate (CAGR) – about seven times the rate of the overall information and communication technology (ICT) market – with revenues reaching $23.8 billion in 2016. The Big Data market is emerging at a rapid pace and incorporating technology and services from a wide range of existing and new market segments. While there are multiple scenarios that could unfold and many demand and supply variables remain in flux, IDC expects the market to exhibit strong growth over the 2012-2016 forecast periods.
For anyone new to Big Data the most important question that remains unanswered is related to the exact use of Big Data. The answer lies in the fact that big data in itself is not an answer but the hay stack where the needle (answer) is (Check out my post for the needle in the haystack analogy) . The fastest growing use case for big data analytics is Visual Data Analytics, basically making it easier to understand what all the captured data means. Many firms grasp the need to make sense of the data, and presenting it visually which can allow knowledge workers (management, bankers, stock traders, etc.) to better analyze trends, patterns and perhaps even upcoming situations to guard against.
Our traditional applications generate a huge amount of data but we end up using only a fraction of it, big data analytics tries to use that chunk of data which we usually archive or tend to throw away.