Data Clean Rooms: Navigating the Future of Privacy and Collaboration
January 20, 2024
Reading Time: 7 minutes
In this blog post, we'll delve into the world of LLMs, exploring what they are, their various use cases, and the different platforms that provide them. We'll also compare LLMs to another popular AI technology, Generative Pre-trained Transformers (GPT), and discuss why LLMs like ChatGPT are becoming increasingly popular. Let's get started!
- Analytics, Artificial Intelligence (AI)
Reading Time: 3 minutes
Developers have a reputation for loving complex, impenetrable jargon. But trust me, understanding their enthusiasm for Git only requires grasping a simple idea - version control.
- Analytics, Key Terms
Reading Time: 3 minutes
Data is everywhere these days! From smart watches tracking our steps to Netflix recommending shows, our lives are saturated with data. But how much do we really understand about using and interpreting that data? This brings us to the crucial concept of data literacy.
- Analytics, Data Management, Leadership
Reading Time: 4 minutes
With the massive growth in data, companies today have many options for managing all that information. Getting to grips with the differences between databases, data warehouses, data lakes, and data marts is critical for selecting the right platform. This post will provide an in-depth look at each Data Storage solution.
- Analytics, Key Terms
Reading Time: 7 minutes
New to analytics? You’ll likely hear programmers tossing around all kinds of language names. Python, R, SQL, Julia, Scala - it’s enough to make your head spin!While you don’t need to become an expert coder, knowing what languages are used and why can be helpful. Let’s decode the top options with some basic background and code snippets.
- Analytics, Data Engineering, Data Science
Reading Time: 4 minutes
Job titles containing “data” or “analytics” seem to multiply every day. How is a data analyst different than a data scientist or BI developer? , what do they actually do day-to-day? As data becomes more important across industries, these roles remain confusing to many. Let's explore what six key data jobs
- Analytics, Key Terms
