Friday, May 3, 2024
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Data Integration

Data Integration

Product Scoop – April 2024

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Process data more effectively with upgrades to FileStorage, SQL Transformations, and database connectors Workato enables you to build effective data pipelines to extract data from...

Snap Into Action: Cast Your Vote for What’s Trending in Data and Applications

Maximizing QBR success using GenAI & automation

Boost efficiency with environment and project properties

Hello SnapLogic. Hello Everything.

Data Engineering

Building new custom silicon for Meta’s AI workloads

Data Engineering and Data Warehousing mullaned2002 - 0
The post Building new custom silicon for Meta’s AI workloads appeared first on Engineering at Meta. Read MoreEngineering at Meta
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Building an infrastructure for AI’s future

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The post Building an infrastructure for AI’s future appeared first on Engineering at Meta. Read MoreEngineering at Meta
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Introducing the next-gen Meta Training and Inference Accelerator

Data Engineering and Data Warehousing mullaned2002 - 0
The post Introducing the next-gen Meta Training and Inference Accelerator appeared first on Engineering at Meta. Read MoreEngineering at Meta
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Database Management

Cloud Computing

Cloud Computing

The overwhelmed person’s guide to Google Cloud: week of April 25

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The content in this blog post was originally published last week as a members-only email to the Google Cloud Innovators community. To get this...
Cloud Computing

Sullivan County debuts generative AI chatbot, Saige, to answer constituent FAQs

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Sullivan County, New York, is home to the Catskills Mountains. It’s a great place to live, play, and raise a family, and we have...

Your modernization journey starts with the endpoint. A Forrester Consulting study shows why.

Private networking patterns to Vertex AI workloads

Introducing Dataflux Dataset for Cloud Storage to accelerate PyTorch AI training

RAG in production faster with Ray, LangChain and HuggingFace

Data Analytics and Visualization

tibble vs. data.frame (with Examples)

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This tutorial explains the difference between tibble() and data.frame(), along with several examples. 1. When you print a tibble, it doesn't show all the data....
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Data Analytics and Visualization

AI Horizons: AI and Innovation

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Wharton Webinar Series AI Horizons AI and Innovation Generative artificial intelligence has a quantity-over-quality problem. One of the biggest challenges in using large language models like ChatGPT is...
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Data Analytics and Visualization

The Road to Accountable AI: Dr. Richard Benjamins discusses Telefónica’s journey towards responsible AI

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Dr. Richard Benjamins discusses Telefónica’s journey towards responsible AI Professor Kevin Werbach and Dr. Richard Benjamins, former Chief Responsible AI Officer at Telefónica, discuss Telefónica’s...
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Data Analytics and Visualization

We’re Focusing on the Wrong Kind of AI Apocalypse

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Analytics at Wharton News We’re Focusing on the Wrong Kind of AI Apocalypse (Outlet: Time) Ethan Mollick, Associate Professor at the Wharton School and Academic Director, Wharton...
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Data Analytics and Visualization

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