Digital Transformation & Software Engineering Services
Amazon Go

Amazon Go: A Glimpse Into the Future of Retail

Amazon Go, the cashier-less store that recently opened to the public, is being touted as the boldest experiment by the online retail giant and is catching the attention and envy of retailers worldwide. Over a year back, when Amazon announced the opening of an 1800 sq. foot digitized, cashier-less store, the announcement itself was enough […]read more »
Big Data Initiative

How Amazon’s Athena Fills a Hole in the AWS Big Data Ecosystem

It’s been less than a year since Amazon Web Services announced the launch of Athena, a big data database that can ingest data directly from Amazon S3 storage and uses Amazon’s Lambda serverless programming framework to allocate resources on demand with a very attractive pricing model. In this article for Datanami, Moshe Kranc, chief technology […]read more »
unlock value of your data

How to Unlock the Value of Your Data

Organizations are generating truckloads of data – about customer behavior, sales, internal operations, unstructured comments from social media, and the like. Turning this raw data into valuable information is the key challenge companies face in gaining competitive advantage and identifying new revenue streams. Many of the world’s largest companies don’t own physicals assets or manufacture […]read more »
Applied Machine Learning

Interesting Highlights from the Applied Machine Learning Days

I attended the first edition of the “Applied Machine Learning Days” which took place at the Federal Engineering School of Lausanne (EPFL, Switzerland). The event involved two days of talks and tutorials on Machine learning and Artificial Intelligence, organized by Prof. Marcel Salathé and his team of the Lab of Digital Epidemiology that gathered 450 […]read more »
Big Data Open Source Projects vs Amazon Web Services

Big Data Open Source Projects vs Amazon Web Services (AWS)

All data engineers are looking for the latest trends regarding the Vs (such as Volume, Variety, Velocity and others) of Big Data. Most approaches lead to higher ingested Volume of enterprise data, an increased Variety of enterprise or cloud source systems, with constant Velocity demand. Data engineers and data analysts are looking to migrate data […]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

Video Series featuring Forrester, Part I: How Can a CTO Justify a Big Data Initiative?

Organizations are well aware of the near-endless opportunities present within the landscape of Big Data. However, how does a Chief Technology Officer build the business case to embark on such initiatives? According to Mike Gualtieri, Principal Analyst, Forrester, the answer lies in unused data. Gualtieri talks about this issue in a video that was filmed […]read more »