Digital Transformation & Software Engineering Services

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Cascading-Lingual-Blog

Cascading Lingual Makes it Easy to Migrate Enterprise Data Warehouse (EDW) to a Hadoop Data Lake

In the world of Big Data, companies are increasingly leveraging Cascading Lingual to facilitate the adoption of enterprise Hadoop because it makes it easy for SQL users to utilize their existing skills to quickly create and run applications on Hadoop. Bhushan Pargaonkar, Lead – Technical, explores Lingual’s heritage and the reasons that make it the […]read more »
Agile-vs-traditional-testing

Racing Ahead: Agile Testing Vs. Conventional Testing

Globally, businesses are embracing Agile tenets in all aspects of software development, including testing, in order to accelerate compliance with quality assurance needs and user requirements.  Priya Thakur navigates the Agile Testing landscape and tells us why it is the way forward. As more and more organizations move towards Agile software development, Agile Testing is […]read more »
Big-Data-landscape

Perspective on the Big Data Landscape

Early this year, a number of analysts released their Big Data Landscape overview. Each analyst has his own taxonomy for organizing the players in the Big Data space, and his own method for categorizing the companies and technologies. What all these taxonomies have in common, despite their differences, is that they are much larger and […]read more »
Digital-storytelling

Championing Digital Storytelling – It’s Not About You, You, You. Make Your Brand Relevant to the Lives of Your Audience

How can organizations cut through the white noise and keep their customers satisfied and coming back for more? Ness SES Chief Digital Officer, Mark Lister has authored an article for online portal Fourth Source where he spotlights the issues that rise from trying to reach out to an audience that is increasingly distracted in the […]read more »
Messaging-Blog--resized

Will “Messaging as a platform” make Facebook essential to your business?

When assessing the digital touch points you have with your customers and which investments you should make in your digital initiatives, it is impossible to ignore the Facebook behemoth that has (beyond all doubt) become the dominant social network in the West and, for many, the default way of experiencing the internet. It has enjoyed […]read more »
iPipeline-blog

Notes from iPipeline Connections 2016: Empowering the Digital Buyer in the Insurance Industry

We recently joined our partner, iPipeline, at its Connections 2016 User Meeting & Conference, a well-regarded event for the Insurance and Financial Services industries. The event focused on how today’s technologies are transforming financial institutions while empowering the new Digital Buyer, Digital Agent and Advisor, Digital Carrier, and Distributors. Representatives from the majority of the […]read more »
Email-inventor-blog-image

How the Internet was Invented

Soon after my son introduced me to his new girlfriend, I sent her a Facebook “friend” invitation. Two minutes later, my son called to berate me for committing a grave social network faux pas, to which I responded, “Listen, I invented the Internet, and I’ll do whatever I darn well please there.” Although I cannot […]read more »
Artificial-Intelligence

What will Artificial Intelligence Achieve Next?

Has the time come for Artificial Intelligence (AI) to officially become the master of humanity? Recently, one of the top Go players in the world, Lee Sedol, was resolutely beaten by Google’s AlphaGo, a computer that uses Artificial Intelligence. Out of the five games that were played, the program only lost out on one game. […]read more »
Smat-car

When Every Car Becomes a “Smart” Car

With more Smart Cars entering the market, the owner is now able to access all the meaningful information that helps improve the overall experience. For example, now a smart car can calculate the trip cost to Vegas by taking into account the current fuel cost or provide information on when the owner should go for […]read more »
Machine-Learning-and-Data-Analytics

Machine Learning and Data Analytics

Today many organizations collect data from their online transactions –  server logs, basket contents, user sessions and more. Much of this is collected and stored automatically, without a clear rationale as to how it will be used. The thinking being that as long as all data is collected, then one day it can be exploited […]read more »

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