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Technological Singularity

Have you seen the famous Indian Super Star Rajinikanth’s movie Robo. If you have seen am sure you remember the post interval scene where chitti creates thousands of other chittis. Ever wondered what if that was really possible and if the world is heading in that direction? Read through and get to know yourself…. These days there are a lot of articles about Artificial Super Intelligence and Robots. Boston Dynamics is one of the front runners in creating robots. Although why are they doing with such intensity is a discussion for another day but one thing to think about is will Robots ever match human intelligence?   People in this space say singularity is really achievable. The state when Robots’ cognitive abilities surpasses human intelligence, is called Singularity and the latest news from the tech community is that singularity is as near as 2045 which means Generation Z and the late 1990s people will be surely there to watch it happen and as well play a par
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Types of Artificial Intelligence (AI)

By now even a 10th class student studying in a remote village is familiar with this word. In the recent times, we have heard a lot about voice assistants, chat bots, robots etc and the activities they are involved in. But did you notice that all the machines involved use AI but have variations in it. For example, AlphaGO – Google’s GO playing AI developed by its subsidiary Deep Mind plays only the game but doesn’t perform any other activity and the chat bots that we come across are programmed to answer questions related to specific topics and Sophia the popular humanoid robot can talk, maintain eye contact, recognise individuals and recently has been upgraded with functional legs. All these use AI but vary in the degree of complexity involved. Hence, AI can be categorized into 3 types based on the application and they are  • Artificial Narrow Intelligence (ANI) • Artificial General Intelligence (AGI) • Artificial Super Intelligence (ASI) All the voice assistants lik
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Design Thinking

Design Thinking has been making buzz for quite some years now. This has changed the way many product companies work. There was a time when companies came up with either creative or logical solutions but not both together.  Then came Tim Brown, CEO of ideo.com a design company who coined the process of thinking logically and creatively as Design Thinking which instantly changed the way businesses worked. This process can be divided into 6 stages which include EMPATHIZE, DEFINE, IDEATE, PROTOTYPE, TEST  and  IMPLEMENT .   Empathize This step is the problem finding path to apply the process. The spotter must empathize with the crowd having the problem as in most of the cases it isn’t one’s own problems that is being solved. This helps in understanding the WHY’s WHAT’s HOW’s and WHERE’s of the problem.  Define This is where the problem statement is defined and formulated so that solutions can be found out using various other techniques.  Ideate Now the problem is i
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What is Blue Ocean Strategy?

Blue Ocean Strategy is a marketing theory from a book published in 2004 which was written by W. Chan Kim and Renée Mauborgne, professors at INSEAD and co-directors of the INSEAD Blue Ocean Strategy Institute. Before proceeding further let us know something about Red Ocean as it is famously quoted. This is related to the ocean of already existing opportunities where competition is neck to neck to attain dominance. Red Ocean signifies a saturated market where companies try to dominate and the mistake of trying to do that reflects in their operational costs whereas Blue Ocean presents a systematic approach to making the competition irrelevant and capture their own blue oceans. Red Ocean can be considered as a place which has been filled with blood due to killing each other in order to attain dominance. Blue Ocean Strategy can be applied across sectors or businesses. It is not limited to just one business. For example, when Apple ventured into the Music Industry with its IPod, there
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Customer Success (Manager)

This isn’t a new role/department but is a part of Marketing and not many are aware of it. It is still nascent but picking pace in the tech sector due to the toughness in retaining existing customers. Every company looks to increase Customer Lifetime Value (CLTV) and this department ensures it. In simple words, CLTV or CLV refers to the prediction of the net-profit earned through customer relationship. It involves the use of complex predictive analysis techniques. A June 1 analysis of LinkedIn data found 14,523 open jobs in the United States for customer success managers, and nearly 6,000 more in other countries. What's striking is that right now, only about 62,000 LinkedIn members worldwide already carry that job title. So the posted appetite for new hires in customer success amounts to nearly a third of the current workforce in the field. By now, you must be worrying what exactly is Customer Success (CS) and what kind of job is it and how different it is from Customer
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