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future     wave

technological innovation in demand!

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cloud computing | infrastructure | transformation

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The fastest growing innovation in any tech-savvy company is to invest in cloud technologies. Cloud technology increases performance by 40-50% while reducing hardware, software, manpower and maintenance costs by huge margins. In today’s dynamic and explosive market, if you want to become the fastest, most-efficient, cost-effective organization and be a part of a booming digital economy it is imperative to be soaring in the CLOUD!

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Global market capitalization and growth of CLOUD technologies is expected to grow into a US$ 500 billion industry by 2023.

 

To be a part of this wave of the future here are the top skills in demand!

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  • Amazon (AWS)

  • Microsoft (Azure)

  • Google (Google Cloud Platform)

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mobile computing | smartwatch revolution

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This segment needs no introduction as it’s the fastest growing evolution used by 5-6 billion people around the world. The market is exponentially growing by 95-100 million users per year, there are about 5.31 billion smartphone owners who are constantly glued to their tiny devices to be connected to the world – whether its banking, insurance, investment, healthcare, stock markets, news, favorite shows, shopping, music, gaming etc.

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You name it, every transaction is happening through the touch of a smartphone. It is predicted by 2025 there will be a whopping 9.5 million mobile-wallet transactions happening using a smartphone alone.

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While we take a big sigh, wait – smartwatch apps are becoming the next frontier of innovation - where one can control and connect anything and everything from the flick of their wrists with finger-gestures in the air.

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To be a part of this wave of the future here are the top skills in demand!

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  • UI development (react.js, react native, java-script).

  • Cross platform developer (phones - android, iPhone, windows).

  • Backend development (databases, security).

  • Programming languages (c#, java, HTML, swift, angular, APIs – android, iOS, windows).

big data analytics | data engineering

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As the internet is nearly becoming free for one and all; everyone’s lifeline, livelihood and social interaction is digitally connected to the world. It is predicted that the data will grow so exponentially with no limits in sight, that we’ll soon run out of “unit of measuring” to define a given volume of data (MBs, GBs, TBs, ZBs, EBs etc.). To tame, decipher, analyze, store, retrieve, secure a tsunami of data across the globe, there will be a constant, never-before-seen demand for data-engineering professionals.

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To be a part of this wave of the future here are the top skills in demand!

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  • Data engineers with analytical, logical skills and business-domain knowledge.

  • Big-data databases developers / administrators (NoSQL - MongoDB,

         Cassandra, Couch DB, RedShift, HBase, Hadoop etc.).

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artificial intelligence | smart technology

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Artificial Intelligence is a.k.a AI in the world of software technologies. It is in its nascent stage which is yet to be explored to its full potential. There are quite a few examples we can discuss and understand to see if real AI is being used or is it more a gimmick used by many companies to sell their products to non-tech-savvy people - though in actuality they are just doing a regular automated tasks which is expected of any well written software code, which has been happening since the inception of computers.


AI is a software code written to do a task but with a touch of a real human intelligence for example – critical thinking but no pre-defined inputs, decision making with no support of used cases, capturing the unknown with minimal human intervention. In other words, it must have a self-learning ability and should simulate a real human behavior!


Many AI applications like Siri, Alexa are basically running an algorithm based out of pre-defined human behavior and human voice interaction. It’s getting there but wouldn’t be defined as a fully AI application.


In our daily lives you will see the use of AI in its partial forms in self-driving cars like Tesla, voice-activated personal assistants (Siri, Alexa), online shopping (Amazon), TV watching (Netflix), cleaning maid (Roomba). There are quite a few applications out there using AI in one or the other form.

 

To be a part of this wave of the future here are the top skills in demand!

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  • Machine Learning (A subset of AI)

  • Python, C/C++, Java, R, JavaScript (the usage of these programming languages depends on the type of application one is building).

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