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

4 things you need to know about application consolidation

November 8, 2016 by Naveen Joshi

Even though application consolidation offers several benefits, consolidation projects have a high risk of failure. This is because many consolidation projects are poorly planned, costly, and time-consuming. This results in…

Blockchain
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How is UX for internet of things different?

November 7, 2016 by Naveen Joshi

There are many challenges and constraints in designing an internet of things interface which will be new to designers who are accustomed to pure digital services. We discuss here challenges…

IOT
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Devising a long-term cloud strategy with independent scaling

November 5, 2016 by Naveen Joshi

One such approach is called Independent scaling. Independent scaling is also called as separation of storage and computing resources. It has enabled data and analytics leaders to solve scalability and…

Cloud Computing
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The software behind 3D printing

November 4, 2016 by Naveen Joshi

The additive process is quite simple. It starts with making a virtual design of the object. This virtual design can be a CAD (Computer Aided Design) file. This CAD file…

Digital Business
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Algorithmic pricing models in BFSI

November 3, 2016 by Naveen Joshi

However, considering the smart millennials that we are, we’re going to do all of that at the best available price. That is to say, avoid surging fares on cab rides,…

Technology
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Application Rationalization: 5 steps to success

November 2, 2016 by Naveen Joshi

Thus, many organizations are resorting to application consolidation. In our previous blog, we spoke about different ways to consolidate your applications. Out of those steps, application rationalizations provide huge scope…

Blockchain
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Big Data: Python, R or Julia? 

November 1, 2016 by Naveen Joshi

Many factors have to be considered, from what types of legacy systems you have at your disposal to the talent and skills within your organization in the first place. One…

Big Data
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