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 Featured Future of Work Socio-Technical

LinkedIn on the ‘Great Reshuffle’: Green skills, green jobs, and blind spots

LinkedIn embarked on an ambitious analysis of data from its nearly 800 million members worldwide to derive insights on the green transition. But while useful, the analysis comes with its blind spots, too.

Apr 13, 20222 min read

Featured Graph AI & Machine Learning Graph Analytics & Data Science Interview News Technical

Graph data science: What you need to know

Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor, chances are you’re familiar with data science. But what about graph data science?

Apr 12, 20222 min read

AI / Machine Learning Analysis Featured News Technical

Google sets the bar for AI language models with PaLM

Google’s new large language model (LLM) called PaLM (Pathways Language Model) is the first outcome of Pathways, Google’s new AI architecture, which aims to handle many tasks at once, learn new tasks quickly and reflect a better understanding of the world.

Apr 12, 20222 min read

Business Interview News Real-time Data Technical

StreamNative releases report with insights into data streaming ecosystem

The appeal of processing data in real-time is on the rise. Historically, organizations adopting the streaming data paradigm were driven by use cases such as application monitoring, log aggregation and data transformation (ETL).

Apr 7, 20222 min read

AI / Machine Learning Analysis Featured MLOps Socio-Technical

Massaging AI language models for fun, profit and ethics

Do AI language models really demonstrate intelligence? What about morality? Is it ok to tweak them, and if yes, who gets to do this, and how do the rest of us know?

Apr 4, 20222 min read

AI / Machine Learning Analysis Business Interview Use Case

Trullion tackles applying AI to accounting workflows

Most of us do not consider accounting to be a separate line of business. But accounting is big business, in and of itself.

Mar 25, 20222 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.