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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

Today, full subscribers got access to a comprehensive Senior-and-above tech compensation research. Gross implies the company is eyeing more than $10B in revenue; although it’s just a claim, and we saw no product or demo. Source: Cognition So far, all we have is video demos, and accounts of those with access to this tool.

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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

A first, smaller wave of these stories included Magic.dev raising $100M in funding from Nat Friedman (CEO of GitHub from 2018-2021,) and Daniel Gross (cofounder of search engine Cue which Apple acquired in 2013,) to build a “superhuman software engineer.” But there is none of this.

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Building the Future with AI and Apps: Your Guide to Snowflake Summit 2024

Snowflake

You’ll see live demos from Snowflake’s engineering and product teams and hear from some of the most well-known global organizations on how they are shaping their industries with the Snowflake Data Cloud. For the first time ever, attendees can also take advantage of a full day of focused training, including lectures, demos and hands-on labs.

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Build and deploy ML with ease Using Snowpark ML, Snowflake Notebooks, and Snowflake Feature Store

Snowflake

Snowflake’s built-in notebooks allow developers to write and execute code, train and deploy models using Snowpark ML, visualize results with Streamlit chart elements, and much more — all within Snowflake’s unified, secure platform. Check out the Snowpark ML demo from Snowday to see the latest launches in action. What’s Next?

Building 105
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Building a Customer 360 in the Snowflake Data Cloud with RudderStack 

Snowflake

To help customers overcome these challenges, RudderStack and Snowflake recently launched Profiles , a new product that allows every data team to build a customer 360 directly in their Snowflake Data Cloud environment. Gone are the months of complex data wrangling and the constraints of no-code SaaS tools.

Cloud 102
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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 3: Productionization of ML models

Cloudera

In this last installment, we’ll discuss a demo application that uses PySpark.ML For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. With this example as inspiration, I decided to build off of sensor data and serve results from a model in real-time.

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A Breakthrough AI-Powered SQL Assistant

Snowflake

At Snowflake, we believe in making the power of data accessible to all. That’s why we prioritize simplicity, governance and quality in everything we build – including our AI-powered tools. Snowflake’s AI research team is at the forefront, exploring the intricacies of building a powerful SQL LLM.

SQL 137