George Anadiotis

Contributing Writer

George's got tech, data, and media, and he's not afraid to use them. Coming from an IT background, he's had the chance to learn to play many instruments on the way to becoming a one man band and an orchestrator: being a Gigaom analyst, serving Fortune 500, startups and NGOs as a consultant, building and managing projects, products and teams of all sizes and shapes, and getting involved in award-winning research among others. George runs Linked Data Orchestration: http://linkeddataorchestration.com

George Anadiotis has nothing to disclose. He does not hold investments in the technology companies he covers.

Latest from George Anadiotis

Show search filters
In-memory computing: Where fast data meets big data

In-memory computing: Where fast data meets big data

The evolution of memory technology means we may be about to witness the next wave in computing and storage paradigms. If Hadoop disrupted by making it easy to utilize pooled commodity hardware with spare compute and storage, could the next disruption come from doing the same for spare compute and memory?

August 7, 2017 by

CatBoost Machine Learning framework from Yandex boosts the range of AI

CatBoost Machine Learning framework from Yandex boosts the range of AI

This is the year artificial intelligence (AI) was made great again. AI is all about machine learning, and machine learning is all about deep learning (DL), according to the hype. For connaisseurs like Yandex, there's more to AI than deep learning. CatBoost, the open source framework Yandex just released, aims to expand the range of what is possible in AI and what Yandex can do.

July 18, 2017 by

NBA analytics: Going data pro

NBA analytics: Going data pro

For the NBA, like every other sports league, awards are important. They can generate attention, spur debate, make money, and involve fans, players, and experts, among others. Is there data science and analytics behind them -- can there or should there be? We picked the NBA Most Improved Player award as an example to analyze some aspects of data-driven culture.

June 26, 2017 by

Kafka: The story so far

Kafka: The story so far

Hard problems at scale, the future of application development, and building an open source business. If any of that is of interest, or if you want to know about Kafka, real-time data, and streaming APIs in the cloud and beyond, Jay Kreps has some thoughts to share.

June 20, 2017 by

Newsletters

You have been successfully signed up. To sign up for more newsletters or to manage your account, visit the Newsletter Subscription Center.
See All
See All