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

Business Interview News Observability Open Source Technical

Open source observability marches on: New Relic and Grafana Labs partnership brings benefits to developers

The perfect observability storm with open source leading the way, and a partnership that makes sense

Aug 10, 20202 min read

Analysis Data Science Featured Responsible AI Technical

Explainable AI: A guide for making black box machine learning models explainable

In the future, AI will explain itself, and interpretability could boost machine intelligence research. Getting started with the basics is a good way to get there, and Christoph Molnar's book is a good place to start.

Aug 6, 20202 min read

Analysis Analytics Data Governance Data Science Featured Interview Socio-Technical Use Case

Data governance and context for evidence-based medicine: Transparency and bias in COVID-19 times

In the early 90s, evidence-based medicine emerged to make medicine more data-driven. Three decades later, we have more data, but not enough context, or transparency.

Jul 27, 20202 min read

Analysis Analytics Data Science Featured Interview Socio-Technical Use Case

Garbage in, garbage out: Data science, meet evidence-based medicine

Did you ever wonder how data is used in the medical industry? The picture that emerges by talking to the experts leaves a lot to be desired.

Jul 20, 20202 min read

Graph News Technical Year of the Graph

Graph Therapy. The Year of the Graph Newsletter Vol. 20, June / May 2020

Parts of the world are still in lockdown, while others are returning to some semblance of normalcy. Either way, while the last few months have given some things pause, they have boosted others. It seems like developments in the world of Graph are among those that have been boosted. An abundance of educational material on […]

Jun 30, 20201 min read

AI / Machine Learning Analytics Business Data Lakes & Warehouses Featured Interview News Open Source Technical

Data Lakehouse, meet fast queries and visualization: Databricks unveils Delta Engine, acquires Redash

Data warehouses alone don't cut it. Data lakes alone don't cut it either. So whether you call it data lakehouse or by any other name, you need the best of two worlds, says Databricks. A new query engine and a visualization layer are the next pieces in Databricks' puzzle.

Jun 24, 20202 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.