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Insights on AI, machine learning, computer vision, and enterprise technology.

3 best practices to successfully implement endpoint computing strategy 

April 14, 2017 by Naveen Joshi

With endpoint computing, users can access information and systems from any device, anywhere, in a continuous, contextual experience that adapts to devices they are using. Implementation of endpoint computing strategy…

IOT
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Artificial Intelligence and cognitive computing

April 13, 2017 by Naveen Joshi

The term Artificial intelligence, or AI, was coined in 1950s. With the advent of computer technology, researchers were enamored with the possibilities that in near future machines could learn, just…

Digital BusinessIOTTechnology
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How to systematically use Blockchain technology in payment systems?

April 12, 2017 by Naveen Joshi

The Blockchain is a chain of secured records of transactions that are collected into blocks grouped in chronological order and distributed over different servers to provide reliable provenance. Digital signatures…

Fintech
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Building value adding IT infrastructure in finance industry with IoT

April 11, 2017 by Naveen Joshi

The underlying proposition of IoT is the transfer of data. And the financial sector relies heavily on the transfer and analysis of data. IoT in finance was, therefore, much anticipated….

FintechIOT
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Blockchain – a step towards ITF

April 10, 2017 by Naveen Joshi

How does blockchain aid in implementing ITF? Blockchain acts as a significant component in implementing ITF. Blockchain is being developed constantly to make it more matured to meet all technical…

Fintech
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2 high performing data architectures for IoT

April 8, 2017 by Naveen Joshi

Devices that are connected to the Internet, and with each other, are generating volumes of data on a scale never seen before. All this data must be stored somewhere. Service…

IOT
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Understanding fast data in big data

April 7, 2017 by Naveen Joshi

As data is getting collected at an increasing pace, and since most of this data is live, the benefits of big data can be lost if information is not processed…

Big Data
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