Mon.Jan 15, 2024

article thumbnail

Ask a Data Ethicist: Why Does Data Ethics Matter?

Dataversity

Whenever I give a talk, I always share how much I love Q&A. It’s a real joy to hear what people are curious about and provide resources or share insightful lived experiences as a consultant in the data ethics space. In this line of work, it’s usually not about having tidy, easy answers or the […] The post Ask a Data Ethicist: Why Does Data Ethics Matter?

article thumbnail

NB462: HPE Spends $14 Billion For Juniper Networks; Starlink Tests SMS Via Satellite

Packet Pushers

Take a Network Break! On today’s show we spend most of the episode talking about HPE’s $14 billion bid for Juniper Networks. We discuss reasons for the deal, product overlap, potential upsides, challenges to integrating these two companies and their product lines, and more. We also talk about a successful test by Starlink to send. Read more » Take a Network Break!

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Rise of RAG-Based LLMs in 2024

Dataversity

As we step into 2024, one trend stands out prominently on the horizon: the rise of retrieval-augmented generation (RAG) models in the realm of large language models (LLMs). In the wake of challenges posed by hallucinations and training limitations, RAG-based LLMs are emerging as a promising solution that could reshape how enterprises handle data. The surge […] The post The Rise of RAG-Based LLMs in 2024 appeared first on DATAVERSITY.

article thumbnail

MSP Monitoring For Top-Notch Network Performance

Obkio

Explore the crucial role of MSP monitoring in meeting business demands. Delve into its financial & performance impact & elevate your network game with Obkio.

article thumbnail

Machine Learning in Action – An In-Depth Look at Identifying Operating Systems Through a TCP/IP Based Model 

CATO Networks

In the previous post , weve discussed how passive OS identification can be done based on different network protocols. Weve also used the OSI model to categorize the different indicators and prioritize them based on reliability and granularity. In this post, we will focus on the network and transport layers and introduce a machine learning OS identification model based on TCP/IP header values.

TCP 52