Digital Transformation & Software Engineering Services
Real-Time Analytics

A Real-Time Analytics Framework for Better Online Retail Customer Experiences

Real-time analytics has the power to transform businesses offering actionable insights that enable faster, precise and more effective decisions. But the effectiveness of real-time analytics is largely dependent on the availability of data. To draw business insights using analytics, companies require a structured decision process with predefined logic and real-time access to data. Let me […]read more »
Big Data Trends

Video Series featuring Forrester, Part II: Top Big Data Trends

Mike Gualtieri, Principal Analyst, Forrester, is featured in this video on the top big data trends, sponsored by Ness Digital Engineering. Gualtieri shares his expertise on the top technical and business trends driving current big data projects. In the video, Mike Gualtieri discusses how several open source platforms like Hadoop, Apache, Spark, have ignited passion […]read more »
Big Data Initiative

SQL and Big Data

Background and Need Enterprises are filled with structured and semi-structured data generated by all sorts of transactional applications. Much of that data is increasingly finding its way into Hadoop clusters for analytics because of Hadoop’s flexibility and the inexpensive, linear scalability of its compute and storage. To extract insights from this data, enterprises often build […]read more »
Two hands holding a clipboard

Data Federation – A Way forward for Enterprises for effective Data Consolidation & Cost Reduction

Current Challenges: Data movement for any organization has always been an expensive process. All or most of the projects involve movement of data from one system to another, usually from external systems. Every company is thinking through various approaches to solve this issue, where physical data movement is reduced while still providing the end user […]read more »
big data

Detecting Drug Incompatibility Indicators within Big Data

The World Health Organization and individual countries maintain reports of adverse drug reactions. These datasets are used to assess adverse drug reactions, often by comparing occurrences of these expressed in ratios for all the drugs listed. In the US, openFDA has a total of 5.9 million entries in the FDA Adverse Effect Reporting System. Adverse effects […]read more »

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 »

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 »
Big Data

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 »