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ChatGPT, the rise of generative AI

CIO Business Intelligence

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. It’s hard to achieve a deep, experiential understanding of new technology without experimentation. It’s only one example of generative AI. GPT stands for generative pre-trained transformer.

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AI in Analytics: The NLQ Use Case

Sisense

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. when the user actually meant to compare between Q1 2018 to the whole of 2017?

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New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

Journal of Experimental Psychology: Applied, 4 (2), 119–138. Qu, H., & Sedlmair, M. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Readability and Precision in Pictorial Bar Charts. Skau, D., & Kosara, R. Eurographics Conference on Visualization (EuroVis). Harrison, L., & Kosara, R.

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6 trends framing the state of AI and ML

O'Reilly on Data

Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however. The chatbot was one of the first applications of AI in experimental and production usage. We compared aggregated data for the last three years; a full year of data for 2017 and 2018, and through the end of October for 2019. [2]

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Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Sanjeev Mohan

Fast forward to early 2017. Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance. GCP has gained acceptance for development and experimentation and more enterprise customers are putting it into production.

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Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. higher [in 2022] than in 2017.” AI surpassed other technologies in conversations about innovation The research underscores that AI is leading the way in accelerating innovation.

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Some highlights from 2020

Data Science and Beyond

I’ve been working remotely with Automattic since 2017, so I was pretty covid-ready as far as work was concerned. My main "day job" focus in 2020 was on being the tech lead for Automattic’s new experimentation platform (ExPlat). Remote work. Technical work.