Why are data scientists doing DevOps?
If you were going to diagram a production machine learning pipeline, the beginning — designing and training models, etc. — would obviously belong to the
If you were going to diagram a production machine learning pipeline, the beginning — designing and training models, etc. — would obviously belong to the
AI in the architecture industry has provoked much debate in recent years – yet it seems like very few of us know exactly what it
In the latest McKinsey Global Survey on AI we noted a significant year-over-year jump in companies using AI across multiple areas of the business. And
Data architecture is a challenging and sometimes confusing field. It can be confusing because data architecture means different things to different people and there are
With rapid advances in AI and data science, data has become an essential asset to every enterprise. Setting up a data strategy, therefore, has become
The boss needs a new evaluation based on a new data source. There isn’t time to load the data into an existing data warehouse, let
While of us mortals are still busy migrating existing applications to the cloud or perhaps building new cloud-ready applications, the marketing departments haven’t been sleeping
We journey through the city with the help of google maps, book tickets through eventbrite, and pay a coffee with an app installed on our
Architects have an urgent mission, says Chris Precht, to bring food production back into the centre of our cities. Our cities need to become part
Smart Cities intend to provide better services to the people populating them. It is a network of smart devices that connect using the Internet. There
Being a licensed architect (a real one, not a software architect) and a builder that owns a real estate development company, I am always looking
Businesses understand that their data capabilities — the data they possess and the way they utilize it — can provide a competitive edge and help