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

Analytics Featured Interview News Socio-Technical Use Case

Safety in data: Implementing data-driven road safety

Using data to improve road safety sounds like a good idea, but the devil is in the details.

Apr 2, 20193 min read

Business Cloud Data Lakes & Warehouses Featured Interview News Technical

The new Cloudera-Hortonworks Hadoop: 100 percent open source, 50 percent boring

How do you bring Hadoop to the AI, hybrid, and multi cloud era, making it so easy to use and reliable that it's boring? How do you build a sustainable business doing that, while switching to a 100-percent open source model? The new Cloudera raises more questions than it offers answers at this point

Mar 25, 20192 min read

AI Chips Data Science Featured Interview News Technical

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Mar 22, 20192 min read

AI / Machine Learning Featured Interview Knowledge Graphs News Technical

Salesforce Research: Knowledge graphs and machine learning to power Einstein

Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state of the art in natural language processing is done on the intersection of graphs and machine learning.

Mar 18, 20192 min read

Graph Year of the Graph

A gravitational wave moment for graph. The Year of the Graph Newsletter: March 2019

A gravitational wave moment for the graph community in the W3C Workshop on Web Standardization for Graph Data. Gartner includes Graph as Trend #5 in its Top 10 Data and Analytics Technology Trend for 2019. And graphs continuing to make waves in the real world in every possible way. Read the full article on the […]

Mar 14, 20191 min read

Interview News Open Source Real-time Data Technical

Streamlio, an open-core streaming data fabric for the cloud era

Apache Kafka replacement and beyond. This is open-core Streamlio's claim to fame, and today's announcement of a managed cloud service brings it one step closer to reality.

Mar 13, 20192 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.