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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

This article titled " Wie Unternehmen vom Vormarsch des maschinellen Lernens profitieren können " appeared in German last week in the "Digitaliserung" column of Wirtschaftwoche. In the case of artificial intelligence (AI) and machine learning (ML), this is different. Because three things are coming together.

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AI Powered Misinformation and Manipulation at Scale #GPT-3

O'Reilly

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. I’d like to share my thoughts on GPT-3 in terms of risks and countermeasures, and discuss real examples of how I have interacted with the model to support my learning journey.

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RPA Vs Test Automation

Testsigma

When both the terms end with automation and someone knows any one of them, it is not hard to presume another one based on primitive knowledge. This is achieved through artificial intelligence and machine learning algorithms by learning the patterns from the user’s actions. What is Robotic Process Automation (RPA)?

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5 key areas for tech leaders to watch in 2020

O'Reilly

O’Reilly online learning contains information about the trends, topics, and issues tech leaders need to watch and explore. Current signals from usage on the O’Reilly online learning platform reveal: Python is preeminent. ML + AI are up, but passions have cooled. Probably not, but only time will tell.

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Generative AI in the Enterprise

O'Reilly

Generative AI has been the biggest technology story of 2023. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed.

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The workplace of the future

All Things Distributed

This article titled " Die Arbeitswelt der Zukunft " appeared in German last week in the "Digitalisierung" column of Wirtschaftwoche. The consequences of this are particularly visible on the labor market many people still don't know which skills will be required in the future or how to learn them. The workplace of the future.