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

Data Governance Decentralization Interview News Open Data

Error – data not found: Precarious data and architectures of the future

Can data from organizations as prominent as NASA vanish into thin air? A grass-roots initiative lead by scientists and researchers believes it just might, and is doing everything in its power to prevent this.

Dec 21, 20162 min read

Analysis Analytics Business Data Lakes & Warehouses Interview Regulation Technical

Why finance craves big data: A perfect storm of disruption and opportunity

The financial services domain, where real-time is measured in milliseconds, holds particular interest for big data applications and vendors for a number of reasons: architecture, regulation, transparency, decision-making, and the need for speed.

Dec 14, 20162 min read

AI / Machine Learning Analysis Analytics Data Science Featured Technical

Predictive analytics and machine learning: A dynamic duo

Predictive analytics and machine learning are seen as the pair of tools to save the day for most organizations currently. We try to de-mystify both, taking a look at what they are, how they work, and what they are good for.

Dec 5, 20162 min read

AI / Machine Learning Analytics Data Science News

Birst-ing into mainstream: Machine Learning meets Semantics in a networked world

Birst is one of the poster children of self-service analytics. Convergence and democratization are the key themes underlying Birst's new release out today, as Birst is trying to balance self-service with enterprise requirements, and making a case for some of the industry's defining trends while at it.

Nov 29, 20162 min read

AI / Machine Learning Analysis Analytics Featured Interview

Data to analytics to AI: From descriptive to predictive analytics

Artificial Intelligence (AI) seems to be the buzzword du jour for organizations, but this is not an obvious or straightforward transition even for those building advanced products and platforms. Many organizations are still struggling with digital transformation to become data-driven, so how should they approach this new challenge?

Nov 23, 20162 min read

Analytics Data Lakes & Warehouses News Technical

Out of the Hadoop box: SQL everywhere and AtScale

AtScale has made a name for itself by providing an access layer on top of Hadoop that enables it to be used directly as a data warehouse. AtScale is now announcing support for Teradata DW and Google Dataproc and BigQuery, offering what it calls a Unified Analytics Platform. Why this move now, how does it work and what does it mean?

Nov 17, 20162 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.