How Netflix built its real-time data infrastructure
What makes Netflix, Netflix? Creating compelling original programming, analyzing its user data to serve subscribers better, and letting people consume content in the ways they prefer, according to Investopedia’s analysis.
Read More →Bringing Deep Learning to your hardware of choice, one DeciNet at a time
Training deep learning models is costly and hard, but not as much as deploying and running them in production. Deci wants to help address that.
Read More →The state of AI ethics: The principles, the tools, the regulations
What do we talk about when we talk about AI ethics? Just like AI itself, definitions for AI ethics seem to abound. A definition that seems to have garnered some consensus is that AI ethics is a system of moral principles and techniques intended to inform the development and responsible use of artificial intelligence technologies.
Read More →Rendered.ai unveils Platform as a Service for creating synthetic data to train AI models
As more organizations are turning to synthetic data to feed their data-hungry machine learning algorithms, Rendered.ai wants to help.
Read More →Crypto industry status report: A multitude of blockchains
A new comprehensive report is out, using data science and analytics to slice and dice the crypto industry. Add to that insights from the report's authors, and you have the state of the crypto industry today.
Read More →MinIO becomes a unicorn after a $103 Million Series B round funding
MinIO, the de facto open source standard for multi-cloud storage, took an early bet in the cloud. The bet is paying off.
Read More →Machine learning is going real-time: Here’s why and how
Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.
Read More →API3, the first-party blockchain oracle, is releasing beacon data feeds with Amberdata
In theory, Web3 is all about decentralization. In practice, it can be very centralized. API3 is a bold effort to achieve decentralization in connecting Web3 applications to the outside world.
Read More →Working from home means working different hours, but not necessarily more
The National Bureau of Economic Research analyzed the side effects of remote work using data from GitHub.
Read More →What will applied AI look like in 2022?
AI adoption has skyrocketed throughout the last 18 months. Besides Joe McKendrick, who wrote the foundational piece on HBR, professionals who work on AI would readily attest to this statement. Google search seems to be in on this not-so-secret too: When prompted with “AI adoption,” its auto-complete spurts out “skyrocketed over the last 18 months”.
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