Gesamtlänge aller Episoden: 62 days 9 hours 37 minutes
Using artificial intelligence and machine learning in a product or database is traditionally difficult because it involves a lot of manual setup, specialized training, and a clear understanding of the various ML models and algorithms.
The typical procedure many companies follow to reach production-level code is design the program, code and test it in different environments, and put it in a pipeline to deploy to production. Developers can make it pretty far into building their core f...
A major change in the software industry is the expectation of automation. The infrastructure for deploying code, hosting it, and monitoring it is now being viewed as a fully automatable substrate. Equinix Metal has taken the bare metal servers that you...
Cryptocurrencies like Bitcoin and Dogecoin are electronic currencies with a complete transaction history stored on a blockchain. A cryptocurrency blockchain is a linear record of all the transactions between users for a given currency.
Digital communities have exponentially grown in importance ever since most of the world went remote. Basically every popular online forum, message board, chat app, and other online social aggregators were created before this new normal.
Creation Labs is helping bring Europe 1 step closer to fully autonomous long haul trucking. They have developed an AI Driver Assistance System (AIDAS) that retrofits to any commercial vehicle, starting with VW Crafters and MAN TGE trucks.
Product teams sometimes double as data teams. They struggle through import errors, scrub long and complicated data sheets for consistency, and map spreadsheet fields on step 3 in a long instruction document.
Right now, more than 10 million people use notebooks like Jupyter in their workflow. Notebooks are open-source tools for creating and sharing documents with live code, equations, visualizations and explanatory text.
Many startups today begin their life as an open-source project. Open source projects allow early adopters of a technology to experiment, to contribute code and feedback, and to shape the evolution of the project in its early stages.
ELT, or “Extract, Load, and Transform,” is the process that modern data pipelines use to replicate data from a source and load it into a target system such as a cloud data warehouse. ELT is a more flexible evolution of the traditional “Extract, Load,