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 Analytics Interview Use Case

Shipping to data: The case of Amazon Prime Day

Did you ever wonder how retail hallmarks like Amazon Prime Day and global shipping are connected? Freightos has the data to answer such questions, as it happens to be on a mission to disrupt the freight industry.

Jul 10, 20172 min read

AI / Machine Learning Analysis Business Cloud Data Science Featured Interview Technical

Alibaba: Building a retail ecosystem on data science, machine learning, and cloud

What does it take to compete in a global arena in which retail and cloud are increasingly intertwined? Domain-specific data science and machine learning for the masses, according to Alibaba.

Jul 6, 20171 min read

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

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.

Jun 26, 20172 min read

Analysis Business Databases Featured Interview Real-time Data Technical

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.

Jun 20, 20171 min read

AI / Machine Learning Analysis Business Data Science Interview Technical

Automating automation: a framework for developing and marketing deep learning models

Are you sold on the benefits of adding automation to your stack, but put off by the high entry barrier to this game? The NeoPulse Framework promises to ease the burden of developing Deep Learning models by introducing a number of interesting concepts.

Jun 9, 20172 min read

AI / Machine Learning Analysis Analytics Data Science Interview Technical

Spark gets automation: Analyzing code and tuning clusters in production

Spark is the hottest big data tool around, and most Hadoop users are moving towards using it in production. Problem is, programming and tuning Spark is hard. But Pepperdata and Alpine Data bring solutions to lighten the load.

Jun 1, 20172 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.