Digital Transformation & Software Engineering Services

Author Archives: Moshe Kranc

Moshe Kranc

About Moshe Kranc

Moshe is the Chief Technology Officer for Ness Digital Engineering. While many people live with one Big Data problem over the course of several years, he has been involved in dozens of Big Data use cases, including 2 years as head of the Big Data Center of Excellence at Barclays Bank.

Admiration and Modernization: A Lesson from Vacation

Because I love my job, I cannot stop thinking about software engineering even when I am on vacation. My recent holiday in Rajasthan and Varanasi in Northern India provided an opportunity to truly admire some enterprising inventions of the ancient times that are now outdated. I believe this attitude of respectful admiration can help companies […]read more »

Don’t Be Fooled By Facades

When NoSQL databases first appeared, in response to the need to process high volumes of unstructured data, the “o” in NoSQL was small, and it meant that these systems had “No” SQL support – SQL was meant for traditional structured relational databases, not these new schema-less contraptions. But, developers know and love SQL, so these […]read more »

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 »

How IoT, AI, and Blockchain Revolutionize Business

Today’s world is at the brink of a technology revolution. There’s a lot of excitement with some the technologies involved including, Artificial Intelligence (AI), Internet of Things (IoT), Blockchain and more. Adoption of these technologies in industries across the world has increased in a bid to improve efficiency and make businesses more customer-friendly. Companies are […]read more »

The Rising Importance of Predictive Analytics

As big data continues to grow in demand, it is tough for organizations to make predictions about their future business outcomes and trends based on their historical data. With interactive and easy-to-use software becoming more prevalent, predictive analytics is no longer an option for business analysts and line-of-business experts, but a necessity. Organizations today are […]read more »

Machine Learning Workflow: A New Product Category is Born

Machine learning (ML) is transforming all business functions, and software development is no exception. There’s no doubt that the development of ML solutions is unique compared to that of other types of software, as it solves unsurmountable problems in every phase of the software development product lifecycle. One of the distinctive characteristics of ML software […]read more »

3 Key Characteristics to Consider before Getting Locked into the Blockchain Hype

Today there’s a lot of excitement around blockchain technology. Unfortunately, because of the hype around this technology, it is being proposed as the solution for many use cases where there already exist better and more efficient solutions. The result is a plethora of pilot projects based on blockchain, but very few systems that are actually launched […]read more »
maximize value of your data

Ness Panel Session: Maximizing Revenue by Unleashing the Latent Value of Your Data

I recently chaired two panel sessions on a hot topic that cuts across all industries and sectors: the core role that data plays in creating the seamless digital experience consumers demand. Whether it’s analytic insights, machine learning engines that can chat with users or a personalized online experience for consumers – it all starts with […]read more »