Connecting the dots with George Anadiotis: Analyst, Consultant, Engineer, Founder, Host, Researcher,
Training deep learning models is costly and hard, but not as much as deploying and running them in p
As more organizations are turning to synthetic data to feed their data-hungry machine learning algor
What do we talk about, when we talk about AI Ethics? Just like AI itself, definitions for AI ethics
A new comprehensive report is out, using data science and analytics to slice and dice the crypto ind
MinIO took an early bet in the cloud, and in Amazon's S3 becoming the de facto standard for applicat
In theory, Web3 is all about decentralization. In practice, it can be very centralized. API3 is a
Would you trust AI that has been trained on synthetic data, as opposed to real world data? You may n
OctoML is announcing the latest release of its platform to automate deployment of production-ready m
55.000 projects, 30.000 developers, $54M funding, and customers including the likes of NASA, in a bi
RocksDB is the secret sauce underlying many data management systems. Speedb is a drop-in replacement
SambaNova just added another offering under its umbrella of AI-as-a-service portfolio for enterprise
A number of successive funding rounds have given Yugabyte unicorn status, while positioning the comp
Knowledge graphs are probably the best technology we have for data integration. But what about appli
IOTA is unveiling its smart contracts, with a clear onboarding path and many interesting features fo
It's this time of year again: reports on the state of AI for 2021 are out. In what is becoming a v
Appwrite, an open source platform that offers a slew of features to developers, aims to capitalize o
A multi-trillion dollar business in crisis, upending incumbents, unfettered ambition, and pragmatic
Being able to deploy machine learning applications at the edge bears the promise of unlocking a mult
Will Deep Learning really be able to do everything? We don't really know. But if it's going to, it
MLOps is the art and science of bringing machine learning to production, and it means many things to
