Shyamsunder Panchavati

Shyamsunder Panchavati
Linkedin now a follower of Shyam on twitter

Wednesday, August 23, 2017

Ten years of Hashtag 08-23

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Hashtag has completed ten years of its existence. We are today celebrating ten years of association
with the Hashtag. It has become an inseparable part of our social media content sharing activity.. 

What is Hashtag???

It is a metatag that is used for sharing content on social media platforms to attract the bots of search engines, and classify all the words implying the same meaning together. known as the hash character # in reference to its resemblance to several slices or chops with a sharp implement) Hashtag helps you to find all the content at place in relation to a subject,topic, event,place or an individual.

Twitter the micro blogging site which was launched in 2006, caught the imagination of the people immdetially, but it was not able to technically sustain its structure and often crashed on account of load of traffic or technical bugs. 

It was during one of such technical hitch in 2007, that Biz Stone, one of the founders, who was trying to fix along with his technicians, a person named Chris Messina walked into Twitter office and explained about the Hashtag and suggested its integration into Twitter infrastructure. It was not immediately accepted but was later on integrated in to twitter web infrastructure. 

On 23rd August 2007 Hashtag first appeared in the tweet by Chris Messina. After that it was integrated into the Twitter system. AND NOW 125 MILLLION HASTAGS (#) ARE BEING USED ON TWITTER DAILY.

Later it was widely adopted across websites, blogs and social media platforms like Facebook, Google+ and others. it was also accepted across almost all the news publishing websites.

LinkedIn did not recognise the Hash tag till a considerable period. In fact, once, after I cross posted conent on LinkedIn, I received a message from someone at LinkedIn telling me that, there was no use of cross posting content with Hashtags, as LinkedIn did not recognise Hashtags. However this year in March, when LinkedIn went in for a major makeover, Hashtag  started working on the LinkedIn timelines.

It is now widely used to get attention and create trends for people, events, places, and other things. Because of its widespread use, hashtag was added to the Oxford English Dictionary in June 2014.[2

Metatags, social media platforms, and later day evolution.

In the early stages of the web history, the website used to have metatags on their web pages. The metatags are texts that are hidden from the viewers but visible to the search engine bots (short for robot).  The metatag text was used to tell the search engines bots the nature of the website. the subject, the domain specificity, and any lineage it had to any organization. The search engines used to scan the web pages and pick up the metatags and place it in proper category. When a person searched for a particular information relating to any aspect, on a search engine like Google or others, all the webpages belonging to  the topic searched used to show in the search. The order depended on many factors, one of the factors being  the websites with maximum traffic relating to that topic, which were featured at the top. However there were other parameters also which decided the sequence in the search results.

First it was required to manually register your websites on the search engines. There were many agencies with the required software, who could register your website simultaneously on more than hundred search engines with a single click. There were also many search engine optimisation agencies which promised to get a better ranking for your website against payment. and it was difficult separate the genuine one from the fake ones. These people exploited the innocent web owners, who innocently fell into the trap.

In view of this exploitation and with the advancement of the  search technology,  metatags were done away with, and  Search Engine bots used high end technology to scan web pages and categorise and segment information based on various parameters, which evolved from time to time. 

When internet became more accessible in developing countries, post the millennium, social media platforms also became more accessible to people. Google had its Orkut, Microsoft and Yahoo had their messenger. However everything changed when Facebook was launched in 2003. Facebook with unique feature not only captured most of the social media market share, it also attracted more people to social media. Its domination was so complete, the other media platforms almost went into wilderness. Google retired its Orkut.  Google introduced wave micro blogging platform with a lot of features and strong search engine support from Google. However Wave could not sustain itself  in the face almost total domination from Facebook and twitter. Wave was withdrawn and a new platform Google+ was launched.

Now with the advent of mobile social platform WhatsApp, even Facebook and Twiter are struggling for existence. Though Facebook claims to have crossed 2 billion mark, it is finding it difficult to make its members log into their accounts regularly.


The future belongs to the mobile media platforms like WhatsApp and Instagram. WeChat the Chinese mobile social media platform is growing by hordes and claims a membership of more than a million.The other mobile media platforms that have come recently are also consolidating themselves and in not too distant a future they will present a challenge to the established media platforms.

Hope you have liked this article . Please feel free to express your opinion.

Best Wishes, 

Shyam





Wednesday, August 9, 2017

Quit India Modi Sarkar 08-10

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Quit India Anniversary #Modi addresses the nation.

Nation tells #NarendraModi, now it is your turn.

QUIT INDIA MODI, OR AT LEAST QUIT INDIAN POLITICS.
...
You have taken BJP and Indian Politics to such low levels.

BJP has fallen from grace in the eyes of Indian people.

#BJP, was built by great statesmen like #Vajpayee ji, #advani ji, and others. Great values were inculcated into BJP and the Indian political system by these leaders.

From 2014, under the effect of Modi-Shah GangBang, it started from grace and in standard, and reached its lowest in Gujarat.

People think that, BJP has already fallen to its lowest.
But No....

Don't be surprised, if it falls to a further low in some state in near future.

Founders of BJP may definitely regretting their action of allowing Modi into BJP in mid eighties.

WHAT A GREAT FALL SIR....

Tuesday, July 25, 2017

Let us a start a "Naya Daur" all over again..07-26

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Union road transport and highways minister Nitin Gadkari said on Tuesday that driverless cars will not be allowed in India.

I have some suggestions on this.

I feel that, not only driverless cars, we should not allow cars itself in India.
...
Instead we should go back to bullock carts.

The Gorakshaks can then go and collect all the bulls from the beefys and donate it to the villagers. Making gorakshaks busy would also stop the beef lynching.

This will not only help the villagers own their transport, but they can come to metros and operate "BullockCabs' for transporting IT professionals and others. for mass transportation, we can have 'Bullock Buses' by employing more bullocks per vehicle (Just like multi horse carriages).

Anyhow IT companies are looking for cost optimization. This will be a great help to them. They can grow grass in the empty places as a fodder for the bullocks, and also contribute to the green environment.

We can eliminate pollution considerably by eliminating automation.

In fact, we should have a ministry of alternate transportation, headed by one of the babas, Since Baba Ramdev is busy making toothpastes and soaps, we can appoint Sakshi Maharaj to head this ministry. By giving him work,and keeping him busy, we can reduce his nuisance value.

I never even imagined that so many problems can be solved with just this one solution.
How come no one suggested such a great idea to the Modi government??????

P.S. I have nothing against Shri. Nitin Gadkari. He is a very honest and intelligent politician. He is from my place Nagpur.

As a president of BJP during 2010-2013. He built both the party and its reputation and created a mass base for the party, which Modi used for winning the 2014 election.

Monday, June 26, 2017

Udupi Sri Krishna Mutt organises Iftar party in temple premises 06-27

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Preaching peace and communal harmony, Udupi Sri Krishna Mutt organises Iftar party in temple premises


In a first in the long history of Udupi’s famous Sri Krishna Temple, Muslims broke their Ramzan fast in an Iftar organised at Annabrahma Dining Hall in the temple premises on Saturday. According to The News Minute, over 150 members of the Muslim community had participated in the ‘Souharda Upahara Koota’ (harmony breakfast meet) held in the temple.

On the menu were items like banana, apple, and watermelon. They were also served with cashew nuts along with ‘kashaya’ made of black pepper, at the dining hall. Vishwesha Tirtha Swami himself served the dates to the gathering and urged the members of different communities to live in peace and harmony.

“People from all religions must be tolerant and co-exist peacefully. Muslims have shown a lot of affection for me in Mangaluru, Kasaragod and Bhatkal. They have given their offering during the Paryaya festival,” the seer, who has been closely associated with Vishwa Hindu Parishad, said during the Iftar. He also specifically asked the coastal areas of Karnataka to be more peaceful and set an example of tolerance for the state. He reiterated that “all of us are children of the same creator.”





The members from Muslim community performed namaz on the second floor of the building with the help of Maulana Innayatullah. (Source: The News Minute) 

Maulana Innayatullah, Imam of Anjuman Masjid was present on the second floor of the dining hall building and guided the members to perform namaz after breaking the fast.

MA Gafoor, the Khateeb of Anjuman Masjid and also the chairman of the Karnataka Minorities Development Corporation said that the message of peace, which began in Udupi, must be spread throughout the world as reported by The News Minute. “The Iftar koota and offering of namaz at a temple is a historic decision and a great sign of communal harmony shown by the Pejawar Mutt,” MA Gafoor said.

The event was mooted by Vishwesha Tirtha Swami of Paryaya Pejawar Mutt, who is presently in his fifth Paryaya, The Hindu reported.
 

Thursday, June 22, 2017

Presidential Elections India 2017

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Presidential Elections 2017


We have two excellent candidates this time for the position of the President of India. Either of them will make a very good President. 

We already know, who is going to win. ...

Even promotion and campaigning is not needed as the members forming the voters in the electoral college will anyway blindly vote as per their party instructions. I really doubt if these voters know anything about the candidates credibility and credentials other than their being Dalits. 

Both the political parties, the Congress and the BJP are projecting their being Dalit as the only qualification for them, which is wrong.

One has been a great lawyer, member of the parliament and a governor. 

The other has been a successful career diplomat, a member of the parliament, minister and speaker of the Lok Sabha. 

Their caste, which is just incidental, is being promoted and projected as their main virtue. When Pranab Mukerjee was selected as presidential candidate, no one said he is a Brahmin. Being a 'Chatur Brahmin', it seems a liability to be hidden. 

By selecting a Dalit as a candidate, both the political parties are giving an impression as if they giving alms to beggars (if not throwing crumbs.) 

Dalits are not beggars.....

In case they are so worried about the Dalits, Why have they not made Dalit as a Prime Minister???? 

Are there no Dalits in the elected MPs in both parties, who are capable of handling this position???

The concern of both parties for Dalits is both opportunistic and self serving and it is for display only.

It is time people of India create third political dispensation that can treat Dalits as normal human beings and create situation, where the Brahmins do not have to hide their caste, And Dalits do not have to display their caste. or a political thought process that doesn't promote caste labels. 

CASTE PROFILING IS THE WORST KIND OF CORRUPTION ANY POLITICAL PARTY CAN INDULGE IN.... HOW CAN CALL THIS PARTY CORRUPTION FREE...

Quite naturally, your views are required to keep this discussion inflamed. 


Friday, June 16, 2017

Job posting frauds, jobseeker woes, The database sale????

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IF YOU ARE AN HONEST RECRUITER WITH SINCERITY OF PURPOSE AND HONEST TO YOUR PROFESSION, THIS ARTICLE IS NOT ABOUT YOU. BUT I KNOW EVEN YOUWILL AGREE, THAT DISHOENST RECRUITERS ALSO EXIST.


Image credit : Shyam's Imagination Library



On LinkedIn, updates....



Recruiters, job Ads, the applicant’s complaint that there is no response/acknowledgement, or lies from them, or not lifting the phone. 

Why this sudden spurt in job advertisements??? 

What happens with the Data collected?



Motives, Seen/Unseen, Ulterior/Bonafide.

There are many ways your profile is used.

SOMETIMES IT IS EVEN USED TO GET YOU A JOB.....


The main reason for this spurt is the value for the database. A recruiter having large volume gets good value from the organizations. And the one having high value data base is adored by the organizations.


Second angle :  The recruiters take money from a jobseeker and while presenting his profile to the HR also present 25 to 30 (or more) other less attributed ones. These are from the database they collect from sources like LinkedIn updates. The HR obviously gets a large data base to select from. In all fairness the HR selects the best among the available. No guessing needed to know, who gets the job.



Third angle:  

When a recruiter makes a business call on an organization, the first thing the HR asks is the available data base for the available positions in the organization. He proudly presents the huge data base with him and the recruiter is hired as official recruiter for the organization.  He gets a nominal retainer and gets money, whenever he provides candidates for the vacant position. The payment is about one percent or half percent or one month salary, depending on the position and the salary package and has to provide alternative candidates in case people leave earlier than the stipulated time. 

Fourth and unfortunate angle:

This data base is sold on demography basis to the Insurance companies, Real Estate companies, mobile companies, Finance companies marketing shares, mutual funds and fixed deposits. Loans, mortgage, and credit cards.  

There are many start-up service providers, super markets, online stores who buy this data, send you a mail offering a promo code that gives a huge discount for a product or service. They make you register you email id, include you legally in their database, and send promo mails regularly.

Fifth angle:

You now have a new breed of professionals who do the profile whetting or profile check for people. These people buy large databases or sometimes these people write to these recruiters for the details including the addresses and phone numbers of the specified people. They search such people on social media platforms like Facebook, LinkedIn, Whats App, Google+ and others. They become your contacts and mail you a fake job requirement and when they get the data, they hand it over to the profile whetting professionals. Sometimes private recovering agencies working on behalf of banks also get the details of the defaulters. It is heard that some people working for the gas companies are selling city wise Adhar card details bank details to these agencies.

How to discern between good and bad.

It is bad........  
When the compensation package looks too good to be true. (It is actually not True)
When you get a job offer through email, where the job requirements are an exact match of your qualifications and experience.
When someone says that you are shortlisted directly for the final interview and asks you to send a CV with detailed address mobile and landline numbers, alternate contact numbers.
When you have not contacted them, still you receive a communication that they have seen you profile somewhere and shortlisted you for an interview.


Then what is safe?

The safest is when you apply

Through organization’s website

Through reputed recruiter’s website

To the jobs directly posted by the organizations

Sometimes, an employee from the concerned department asks you to directly apply to his personal email id. He forwards your profile with his reference to the HR, and the one selected from the list is considered his reference candidate. He gets a commission, once the candidate completes a certain period of time with the organization. Sometimes the purpose to get relevant candidates for the job. Most of times these are genuine honest and safe.  

In conclusion, I would like to state that not all recruiters are fraud. There are good recruiters doing extraordinary work. You need to discern between the good and the bad. Please visit their websites. The good one will definitely have one. See their work, view their client list. See the people behind it their qualifications, work experience, and the type of organizations they have been associated with. And send the profile to the trustworthy ones only. It does not take more than half hour to verify a recruiters. 

If you find this article useful, please share this with your friends’ followers, and fellow jobseekers. You can also help me in improving the article by sending your inputs on this subjects via comments. 



Best Wishes,



Saturday, June 3, 2017

AI and me 06-04

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Damodar Padhi,

A good and valid viewpoint. I liked it.

But before we dwell too much into what AI can do or not do, We should think of the inverse of that. 

IS ARTIFICIAL INTELLIGENCE MAKING HUMAN BEINGS LESS EMOTIONAL TOWARDS THEIR OWN FAMILY MEMBERS. BEING WITH COMPUTERS, ARE WE BECOMING EMOTIONLESS, FEELINGS LESS, EMPATHY LESS. 

The money present generation is earning can take care of all the physical needs, healthcare needs, They also try to buy solace for family members wherever possible spending money. The present generation does have some quantity of dispensable money.

Will there be a situation in distant future, where machines running on Artificial Intelligence will develop emotional feelings and empathy towards human beings and machines, and Human Being will become machine like, where they fix a scheduled time for pouring love and affection on their ones. And at other times, they may say,

"SORRY YOU ARE OUT OF SCHEDULE, LOVE IS NOT SCHEDULED AT THIS TIME". 

The first development (where machines develop emotions) is good. The second, 

well you people know it better than me.

Friday, June 2, 2017

Understanding Machine Learning 06-02

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Whenever there is evolution in technology and science, There is a natural evolution in the human thought process. This results in transition from one plane to the next one. Every improvement in automation makes the human being more and more dependent on the machines. Since ages human being has learned from machines. 

And now......

The machines have become so intelligent, that they have  started learning and themselves.  Based on their have become more discerning and precision freaks. This process of machines learnng and improving their performance is known as Machine Learning.

The term machine learning refers to the automated detection of meaningful patterns in data. In the past couple of decades it has become a common tool in almost any task that requires information extraction from large data sets. We are surrounded by a machine learning based technology: search engines learn how to bring us the best results (while placing profitable ads), anti-spam software learns to filter our email messages, and credit card transactions are secured by a software that learns how to detect frauds. Digital cameras learn to detect faces and intelligent personal assistance applications on smart-phones learn to recognize voice commands. Cars are equipped with accident prevention systems that are built using machine learning algorithms.

Machine learning is also widely used in scientific applications such as bioinformatics, medicine, and astronomy. One common feature of all of these applications is that, in contrast to more traditional uses of computers, in these cases, due to the complexity of the patterns that need to be detected, a human programmer cannot provide an explicit, finedetailed specification of how such tasks should be executed. Taking example from intelligent beings, many of our skills are acquired or refined through learning from our experience (rather than following explicit instructions given to us). Machine learning tools are concerned with endowing programs with the ability to “learn” and adapt.

Machine learning is one of the fastest growing areas of computerscience, with far-reaching applications.

Roughly speaking, learning is the process of converting experience into expertise or knowledge. The input to a learning algorithm is training data, representing experience, and the output is some expertise, which usually takes the form of another computer program that can perform some task. Seeking a formal-mathematical understanding of this concept, we’ll have to be more explicit about

what we mean by each of the involved terms:

What is the training data our programs will access?


 How can the process of learning be automated?


How can we evaluate the success of such a process (namely, the quality of the output of a learning program)?


When Do We Need Machine Learning?

When do we need machine learning rather than directly program our computers to carry out the task at hand? Two aspects of a given problem may call for the use of programs that learn and improve on the basis of their “experience”: the problem’s complexity and the need for adaptability.





Tasks That Are Too Complex to Program. • Tasks Performed by Animals/Humans: There are numerous tasks that we human beings perform routinely, yet our introspection concerning how we do them is not sufficiently elaborate to extract a well defined program. Examples of such tasks include driving, speech recognition, and image understanding. In all of these tasks, state of the art machine learning programs, programs that “learn from their experience,” achieve quite satisfactory results, once exposed to sufficiently many training examples.


• Tasks beyond Human Capabilities: Another wide family of tasks that benefit from machine learning techniques are related to the analysis of very large and complex data sets: astronomical data, turning medical archives into medical knowledge, weather prediction, analysis of genomic data, Web search engines, and electronic commerce. With more and more available digitally recorded data, it becomes obvious that there are treasures of meaningful information buried in data archives that are way too large and too complex for humans to make sense of. Learning to detect meaningful patterns in large and complex data sets is a promising domain in which the combination of programs that learn with the almost unlimited memory capacity and ever increasing processing speed of computers opens up new horizons.


Adaptivity. One limiting feature of programmed tools is their rigidity – once the program has been written down and installed, it stays unchanged. However, many tasks change over time or from one user to another. Machine learning tools – programs whose behavior adapts to their input data – offer a solution to such issues; they are, by nature, adaptive to changes in the environment they interact with. Typical successful applications of machine learning to such problems include programs that decode handwritten text, where a fixed program can adapt to variations between the handwriting of different users; spam detection programs, adapting automatically to changes in the nature of spam e-mails; and speech recognition programs.  


But this advancement in technology  is not being used by the people. People are still undermining the capabilities of the machines to deliver better results than any human effort. I only hope that people use the machine learning not only for business analysis but also to optimise the costs and  increase productivity by eliminating the redundant processes.

Hope that happens, 

Best Wishes, 

Shyam.

Friday, May 26, 2017

Ramadan wishes, Let the holy spirit prevail everywhere


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Tuesday, May 16, 2017

India's IT scenario. 05-17

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India reinvented itself 20 years back when the IT outsourcing began followed by Y2K. Though IT has a huge hallo surrounding it. The total contribution it has towards Indian job creation is just around 5% (or half a million) even at a very generous estimate. 

Hence, even considering that all of these jobs are lost, 95% of the job creation process is still intact. Just half a million jobs expected to be lost over the next five years, does not effect the 500 million working peoplef India drastically. It just works to just 1%

India is basically an agriculture based economy. About 65% of Indians are employed either in Agriculture or Agriculture related occupations. So long as the farmer is growing crops, and there are enough people to consume them, this industry is not likely to stop growing any time soon.

Manufacturing industry is looking up. Each and every manufacturing domain has a related and dedicated IT requirement. Sooner or later they will not only absorb these people but come.


Impact though initially significant will be miniscule (or even less than that) in the long run. We have the Made in India, Skill India projects. These will ensure that the skills are not only developed, but they are gainfully put into employment and National Development.


To even imagine, that the Indian employment market depends on the whims and fancies of an American President is hugely laughable.


President John F Kennedy did put India in a fix, when he refused to help us militarily during the China war in 1962, but that only increased India's resilience and resolve to be self dependent in Defence requirements. And the continous efforts of the governments down the line have made India what it is today.


Smt. Indira Gandhi was responsible in setting up the defence mnufacturing and R& D facilities. Shri. Narasimha Rao helped the development of technology, Dr. Manmohan Singh gave us the refoms that pushed up the growth rate of Indian economy considerably. 


Not much impact will be there, if the Americans close doors to the Indian tech professionals. 

And by the way, how can a country with 1/3 population and 3.5% economic growth rate, dictate to a country with a Billion population and growth rate of 7% +