Orchestrate all the Things Newsletter

Connecting the dots with George Anadiotis: Analyst, Consultant, Engineer, Founder, Host, Researcher, and Writer

Stories about Tech, Data, AI and Media and how they flow into each other shaping our lives

I’ve engaged from the likes of Gary Marcus and Andrew Ng to emerging thinkers and innovators across multiple domains.

My stories have been featured on ZDNet and VentureBeat, and are syndicated across DZone, Hackernoon, Medium and Substack.

Some might call this futurism; let’s just say it’s connecting the dots.

Many of my stories have a technical focus. Most also examine business perspectives and use cases, while others are socio-technical.

Some are analyses on emerging themes – picking them up early, featuring expert comment, or offering alternative takes.

Others cover breaking news, typically also featuring the people behind them plus some analysis. There are some book reviews as well.

I focus on the connection between data, analytics, data science, graphs, machine learning and AI and their impact on business and society.

I have been covering topics related to:

AI and Machine Learning
Data, Analytics and Data Science
Knowledge Graphs, Graph Databases, Graph Analytics & Data Science
Innovation, and a wide array of technologies such as Blockchain, Cloud, Observability, IoT, Open Data and Open Source, Social Media and Software Engineering.

Join the Orchestrate all the Things Newsletter

Stories about how Technology, Data, AI and Media flow into each other shaping our lives.

Analysis, Essays, Interviews and News. Mid-to-long form, 1-3 times per month.

Browse previous issues

You can find Featured articles here, or browse by Type, Focus or Topic

Analysis Business Data Lakes & Warehouses Graph Databases Interview Knowledge Graphs Technical Use Case

Semantic data lake architecture in healthcare and beyond

Data lakes can be a great asset, but they need an array of elements to work properly. We take a look at how it works for Montefiore Health System and discuss the role of semantics and graph databases in the data lake architecture.

Aug 21, 20171 min read

AI / Machine Learning Analysis Business Data Science Featured Interview Technical Use Case

Supercharging your image: Machine learning for photography applications

Advanced capabilities for image retrieval and processing are relatively new and powered to a large extent by advances in machine learning technology. We present a brief history of this space, and share the story of how Shutterstock has embraced this technology and what it does for them.

Aug 14, 20172 min read

Analysis Analytics innovation Interview Technical

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?

Aug 7, 20172 min read

AI / Machine Learning Analysis Featured innovation Interview Socio-Technical Technical Use Case

Will the real Elon Musk please stand up? Autonomous bots and synthesized speech in the public domain

The ability to create virtual clones that appear to think and talk like the real thing is very much real, as it has been done for Elon Musk and Barack Obama. We discuss techniques and potential with the people behind them.

Jul 24, 20171 min read

AI / Machine Learning Interview News Open Source Technical

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.

Jul 18, 20172 min read

AI / Machine Learning Analysis Analytics Business Interview Technical Use Case

How machine learning is taking on online retail fraud

Fraud is one of the biggest causes of lost revenue for online retailers. Fraugster and Riskified, two startups that operate in this space, share their insights and methods for safeguarding online retail.

Jul 14, 20171 min read

Join the Orchestrate all the Things Newsletter

Stories about how Technology, Data, AI and Media flow into each other shaping our lives.

Analysis, Essays, Interviews and News. Mid-to-long form, 1-3 times per month.