Articles

Interesting nowadays is integration, the idea preconized by Intrinsic Vagueness it is either synthetisers or specifiers. Our age demands agility, and novelty 24/7. We do not… Read More »Finding the Unfound

Imagine it’s 1994 and the dawn of the internet. In many ways, it is. Entrepreneurs are once again laying the rails for a new digital world. And, just… Read More »[New Book] Unblocked: How Blockchains Will Change Your Business

The state-of-the-art technology trend, the Internet of Things, is growing expeditiously at the speed of light with each passing day. Many industries have begun harnessing… Read More »Top 10 IoT in Transportation solution providing companies for 2019

Some months ago, booking.com joined the ginger group of brands to combine artificial intelligence (AI) with mobile to get a headsup in anticipating a customer’s purchase… Read More »Using Artificial Intelligence To Sense Buyer Intent

Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook? There is an impedance mismatch between model development… Read More »Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook

Bill Schmarzo, also known as the “Dean of Big Data” is CTO at Hitachi Vantara, and former CTO at Dell EMC. He authored a series of articles… Read More »Bill Schmarzo's Retrospective: Data Science, ML, Big Data Analytics, and more

Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help… Read More »Graph Analytics to Reinforce Anti-fraud Programs

After a recent webinar, I was asked about advice for getting a job in AI for a fresh graduate This is a good question and… Read More »Advice to a fresh graduate for getting a job in AI/ Data Science

Summary: The world of healthcare may look like the most fertile field for AI/ML apps but in practice it’s fraught with barriers.  These range from… Read More »Doctors are from Venus, Data Scientists from Mars – or Why AI/ML is Moving so Slowly in Healthcare