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Setup Mage AI with Postgres to Build and Manage Your Data Pipeline

Analytics Vidhya

Picture this: thus, unlike many other extensions that require deep setup and constant coding, […] The post Setup Mage AI with Postgres to Build and Manage Your Data Pipeline appeared first on Analytics Vidhya. That’s where Mage AI comes in to ensure that the lenders operating online gain a competitive edge.

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Build and Manage ML features for Production-Grade Pipelines

Snowflake

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. A key benefit of Snowflake Feature Store is its use of Dynamic Tables to automate and abstract the complexity of data and feature engineering pipeline and backfill management.

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Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat.

Building 278
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Building Linked Data Products With JSON-LD

Data Engineering Podcast

Summary A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products. Hex brings everything together.

Building 189
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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.

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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. How can you get the best results for your use case?

Building 162
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Release Management For Data Platform Services And Logic

Data Engineering Podcast

Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. The services and systems need to be kept up to date, but so does the code that controls their behavior.

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The Essential Guide to Building Analytic Applications

What should product managers keep in mind when adding an analytics project to their roadmap? Download this eBook to discover insights from 16 top product experts, and learn what it takes to build a successful application with analytics at its core.

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How to Optimize the Developer Experience for Monumental Impact

Speaker: Anne Steiner and David Laribee

To understand how a great DX can contribute not only to the well-being of our development teams, but also to the broader objectives of product success and customer satisfaction, we first need to understand the relationship between DX and the Product Manager Experience!

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Grow your user empathy skills: Better understand users and the problem space they are working in through Journey Maps that are customized for Product Managers. 📅 April 11, 2024 at 11:00 am PT, 2:00 pm ET, 7:00 pm GMT Use Product Management Today’s webinars to earn professional development hours!

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How to Find and Test Assumptions in Product Development

Watch this webinar with Laura Klein, product manager and author of Build Better Products, to learn how to spot the unconscious assumptions which you’re basing decisions on and guidelines for validating (or invalidating) your ideas. Assumptions mapping is the process of identifying and testing your riskiest ideas.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Register today to save your seat! December 6th, 2023 at 11:00am PST, 2:00pm EST, 7:pm GMT

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating at the level of a FAANG company!