Showing posts with label Data. Show all posts
Showing posts with label Data. Show all posts

Wednesday, March 12, 2014

What ‘light loving moths’ forgot to tell you about ‘experience design’

‘Light loving moths’ and the world of design?, why this weird comparison! Yes, you may be thinking for a while. As we know there is a common belief that moths, flies, beetles are attracted towards light and that leads them to their unfortunate miseries at the candle light. When we understand that it is by their sheer inability to understand the circular light emitting behavior of the artificial light, these little insects fall prey to the candle fire and other hazards caused by artificial sources of light. Those insects are actually in search of the moonlight that has a constant angle of radiation. 

This occurrence in nature often reminds me about the hypes of nurturing and manufacturing customer experience design. Primarily design has two layers; one physical and second ideological. When physical layer of design act as the necessary act to optimize the functional and material aspects of the subject matter or the object manifestation, ideological layer act as the force that can create a demand or customer appeal beyond its actual capacities. Hence when we make all sort of fuzz about design, design thinking, truth in design we should understand the layer in which we are applying our design efforts and logic.

Tuesday, January 21, 2014

My article in IBM Mobile Insights: Three mathematical innovations for mobile data analytics

Mobile Signal Reflector by Wapster.
Shared in Creative Commons license
Mobile data analytics has become the business driven for various digital experience measurements and front office strategies. As mobile becomes the next enterprise ecosystem for global economy, minutest of the mobile data and its trends influence the executive decisions and customer satisfaction. Mobile device management is also overlapping with mobile data management in more number of ways. In this situation, a data science without business value discovery cannot enable the mobile enterprise. Mathematical sciences has the capability to bridge the vaguest of the problems with the most daunting challenges of the day.

Three mathematical innovations to transform mobile data and analytics:
In this article published in IBM Mobile Business Insights blog, I am exploring the role of cognitive, advanced learning and quantum physics in building big data analytics engines that can meet the contextual and the transient nature of data problems and algorithmic challenges. These are not technical revolutions alone, rather the realizations built on the strength of mathematical constructs and clarity.Read more and join me for an exciting discussion:

Monday, April 15, 2013

Data Diary #3:

Network Equipment Providers's (NEP) and Next Generation Content

We have already witnessed the wonders of streaming media and video streams. Now comes the real time video streams. At the recently concluded Mobile World Congress, Peter Linder,VP, Fixed Broadband and Convergence, Ericsson speaks about how much Ericsson is enthusiastic about the possibility of live and multimedia content in mega sporting events such as FIFA World Cup, Olympics and so on.

Ericsson Speaks on Next Generation Content

This speech is a pointer to the direction in which Network Equipment Providers must be moving. This is nothing but out of the realization that Voice communication networks can no longer be the only revenue generator or business value accelerator. Voice -Data convergence, Content explosion and the entrance of traditional NEP's in this ecosystem opens up interesting possibilities of competition in the content aggregation and content analytics space.

Already we have a lot of players in the content aggregation and content analytics space. How can NEP's leverage their experience and infrastructure to create new opportunities and user experience ? And that is something worth study.

+Gokul Alex 

Sunday, March 31, 2013

Data Diary #2


Data Visuals : Dreams unlimited!!

Visuals are there everywhere, from primitive AjanataEllora caves to the huge Bulletin board of the metropolis. As some cultural theorists say, we live in the world of images. And it is un-disputable that images speak fancier than words, if not louder. And as days progress, data is becoming more and more ubiquitous and visible in all the quadrants of life. It is not that all these data has been born into our networks all of a sudden. Instead, we are becoming more and more conscious about the possibility of sharing and transforming the data. 

Hence these two universes are colliding and co-creating a new paradigm called data visualization. By the time you analyse the thoughts, you can visit the below page to know the mushrooming tools in the data visualization space. This shows the demand in this space. Periodic Table of Data Visualization Tools

Data visualization is a field with exciting features and powers in Web Intelligence. Web Intelligence is slowly transforming the Business Intelligence space all together. Data Visualization as a strategy stands very much coherent to IBM's thought of simplifying life. Gone are the days when we need the expertise of complex queries to mine the data from huge data stores. Now the imperative is to leave the complexities to a selected few data scientists and to empower the rest of the world to focus on the beauty of the data. By the time I finish this introduction on data visualization, at least some of us may be started exploring or experiencing in our daily work or social media life. 

In Public internet we come to see its capabilities through tools such as Klout, Cloze, Vizify, Orange etc.Thus Social Business is no longer confined to the interfaces of text analytics and streaming hash tags. It has become more intuitive and info-graphic in nature. Image analytics may be a tough ask for the present computing circuits. But any day, we can see it happen. Visualizaton need not be confined to data alone as meta data can also be visualized. At then end of the day, only your imagination is your boundary!

Twitter: @gokulgaze
Note: All the views are purely personal ...

Wednesday, March 20, 2013

Data Diary #1

Monsters in Memory !

Can you imagine idle java processes eating away 70% of your Operating system RAM share. In our Content management system built on a propriety product suite, we were taken by surprise to realize that it is a baggage from the product architecture. However, I must not point fingers at the vendor as they have mentioned in their product manuals to disable the non-essential services to be disabled in the early phase it self. But we have left with no such choice now. May be this kind of elasticity & flexibility is desirable any product in the days forward.

Our content management system follows an event based consumer - subscriber model for sharing the events across different content related services such as Workflow, We found that our event subsystem and the associated small relational database related Java Processes are alive all the time. That must be the rationale behind keeping these processes alive.


Along with it, we could find a Servlet and Search agent built on Java API's alive all the time. All the villains are identified. But not able to keep them behind the bars as they are essential for the system's standard behavior and as-is status. This makes me think and highlight that Content management systems are still memory and event intensive model. I must say that this +ECM has derived lot of base model from the standards of Version Control systems and relational data models. What made it unique was the OS level coupling it has achieved by adding a lot of modifications on the OS registries and device drivers at the firmware level .. Anyway I am just curious what will these bunch of monsters will do tomorrow as the story continues. Data Diary and Data Dilemma continues ...




PS: All views are my own

Thursday, March 14, 2013

Social Business Diary #1

Business & IT Convergence ...

As we know, with more and more of Business and +Information Technology  convergence, cloud computing need to meet the rationale of Software Economics. We can see that the dynamics between 'Money' and 'Data' is still a perplexing question. There are some who says 'Data' is 'Money'. But people are realizing that only with a clear cut model for software economics they can evaluate the hypes and marketing frameworks that mystify each software invention.

What should be understood by the term 'Business Agility' ? How +Information Technology  can transform your Business to an agile environment? It all revolves around your understanding of key drivers of growth and dampening factors that divert your focus. This link will tell us that, without a clear cut and forward looking +business architecture , Business Agility will remain a jargon for ever.

As the product development spirits are gearing up in India, and as we conceive more and more innovation within the design space, it is time for us to think of a broader strategy for Product Life-cycle Management( +PLM ). And it is where +IBM can help you with a vast arrays of methods and tools ...

Social Business is a buzz word with lot of meaning and nothingness within. It will end up as a hollow pot if we don't use our intelligence and understand our business. So this post pronounces that the basics of Business remains the same even we embrace social space!


PS: All views are my own