Sat.Dec 07, 2024 - Fri.Dec 13, 2024

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3 Steps to AI-Ready Data

Monte Carlo

If it seems like literally everyone and their CEO wants to build GenAI products, youre absolutely right. In our latest survey on the state of data reliability, nearly 100% of data leaders said they feel pressure from their own leadership to implement a GenAI strategy or deliver GenAI products. But data leaders understand something thats often lost on most C-Suites: GenAI products are only as valuable as the first-party data that powers it and that data is only as valuable as it is reliable.

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Stop Overcomplicating Data Quality

Towards Data Science

Three Zero-Cost Solutions That Take Hours, NotMonths A data quality certified pipeline. Source: unsplash.com In my career, data quality initiatives have usually meant big changes. From governance processes to costly tools to dbt implementationdata quality projects never seem to want to besmall. Whats more, fixing the data quality issues this way often leads to new problems.

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Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

Cloudera

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI). AMPs are all about helping you quickly build performant AI applications.

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Mainframe Data Meets AI: Reducing Bias and Enhancing Predictive Power

Precisely

Key Takeaways : The significance of using legacy systems like mainframes in modern AI. How mainframe data helps reduce bias in AI models. The challenges and solutions involved in integrating legacy data with modern AI systems. The potential benefits of these integrations. In todays rapidly evolving technological landscape, businesses across industries are constantly looking for ways to harness the power of artificial intelligence (AI) to drive better decision-making, enhance customer experiences

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Drug Launch Case Study: Amazing Efficiency Using DataOps

DataKitchen

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse.

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Inside Facebook’s video delivery system

Engineering at Meta

Were explaining the end-to-end systems the Facebook app leverages to deliver relevant content to people. Learn about our video-unification efforts that have simplified our product experience and infrastructure, in-depth details around mobile delivery, and new features we are working on in our video-content delivery stack. The end-to-end delivery of highly relevant, personalized, timely, and responsive content comes with complex challenges.

Systems 68

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2025 Planning Insights: Data Governance Adoption Has Risen Dramatically

Precisely

Key Takeaways: Interest in data governance is on the rise 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).

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Streamline AI Agent Evaluation with New Synthetic Data Capabilities

databricks

Our customers continue to shift from monolithic prompts with general-purpose models to specialized agent systems to achieve the quality needed to drive ROI.

Systems 136
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The Impact of Generative AI on Media and Advertising

RandomTrees

Generative AI, the most recent advancement of artificial intelligence is changing media and advertising for the better. As such, machines can analyze and optimize content without human intervention; therefore, there is a huge shift in how brands engage with their customers. Whether through hyper-personalized ads or automated content production, Generative AI in Advertising is rapidly becoming the cornerstone of most marketing strategies.

Media 52
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Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tools

Seattle Data Guy

Document Intelligence Studio is a data extraction tool that can pull unstructured data from diverse documents, including invoices, contracts, bank statements, pay stubs, and health insurance cards. The cloud-based tool from Microsoft Azure comes with several prebuilt models designed to extract data from popular document types. However, you can also use labeled datasets to train… Read more The post Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tool

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Build Better Custom Geoprocessing tools (now with Enable Undo) in ArcGIS Pro!

ArcGIS

Learn how to build a custom geoprocessing tool and about some new features, like Enable Undo for Script and Model tools, in ArcGIS Pro 3.

Building 117
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Introducing Databricks Generative AI Partner Accelerators and RAG Proof of Concepts

databricks

In todays rapidly evolving technology landscape, generative artificial intelligence (GenAI) is revolutionizing the way organizations work and is opening up new worlds of.

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Beginner’s Guide to Unit Testing Python Code with PyTest

KDnuggets

Learn how to write and run effective unit tests in Python using PyTest, ensuring your code is reliable and bug-free.

Coding 108
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Data News — Small break until January

Christophe Blefari

Hey, it's been a few weeks since something has been published here—I hope you haven’t forgotten about me 😊 In the last weeks I've been all over the place and worked on a lot of topics except this newsletter, I've decided to take a break from the newsletter to catchup the rhythm in January! The Forward Data Conference was a huge success and I want to thanks again all the attendees, speakers, sponsors and my co-organisers.

Data 100
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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Doing more with Density tools: Understanding spatial patterns of data in ArcGIS Pro

ArcGIS

Explore Density tools in ArcGIS Pro for spatial data analysis to reveal hidden patterns and effective visualization to aid in informed decision-making.

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Innovators Unveiled: Announcing the Databricks Generative AI Startup Challenge Winners!

databricks

We are pleased to announce the winners of the Databricks Generative AI Startup Challenge , a competition held in collaboration with AWS to.

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How to Perform Advanced SQL Queries in BigQuery

KDnuggets

Improve your SQL querying skills in BigQuery with these advanced querying templates.

SQL 102
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Value-Focused Data Leaders to Watch in 2025

Snowflake

As organizations mature in their execution of data and AI initiatives, a burning question remains: How do we measure the effectiveness of our teams and our impact on the business? This isnt the perennial Whats my data worth? dilemma often asked rhetorically and answered theoretically. Todays challenge is concrete: to define and track the metrics used to justify continued investment in data and AI innovation.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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What’s New for Spatial Analytics across ArcGIS (Q4 2024)

ArcGIS

Spatial Analytics and Data Science capabilities across ArcGIS have been enhanced this fall with new tools and optimized experiences.

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Announcing Public Preview of Hive Metastore and AWS Glue Federation in Unity Catalog

databricks

Were excited to announce the Public Preview of Hive Metastore (HMS) and AWS Glue Federation in Unity Catalog! This new capability enables Unity.

AWS 116
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Amazon S3 Tables: AWS Has Finally Entered the Open Table Format War

Hevo

The explosion of data from devices, applications, and systems has driven the need for scalable, efficient storage and analytics solutions. Amazon S3, known for its durability and flexibility, evolves further with S3 Tables, enabling businesses to query and analyze massive datasets directly from storage.

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Snowflake Ventures Invests in Twelve Labs to Bring Advanced Video Understanding to the Snowflake AI Data Cloud for Media

Snowflake

In a rapidly changing and competitive media and advertising industry, media companies, sports organizations, advertising agencies and others are consistently looking for ways to improve the consumer experience and drive monetization. This includes content analysis, video and creative search capabilities, content personalization and creative versioning.

Media 98
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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Topological editing enhancements in ArcGIS Pro

ArcGIS

In ArcGIS, topology includes a number of aspects. This blog addresses enhancements in ArcGIS Pro to support shared feature editing.

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How to Read Unity Catalog Tables in Snowflake, in 4 Easy Steps

databricks

Learn how to connect to Unity Catalog's Iceberg REST APIs from Snowflake to read a single source data file as Iceberg.

Data 111
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Databricks Compute Comparison: Classic Jobs vs Serverless Jobs vs SQL Warehouses

Sync Computing

Databricks is a quickly evolving platform with several compute options available for users, leaving many with a difficult choice. In this blog post, we look at three popular options for scheduled jobs using Databricks own TPC-DI benchmark suite. By the way, kudos to the Databricks team for creating such a fantastic test package. We highly encourage anybody here to use it for their own internal testing.

SQL 59
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Prioritization: The Pivot Point from POC to Production

Snowflake

We often hear from customers that theyre excited about what they could do with data and AI but are not sure how to do it. Or that the tech teams are all in but they cant convince the powers that be to move forward. Its not that they dont know what to do they could list a number of initiatives or use cases that would benefit from insights from their data or to which they could apply AI.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Attribute Rules Triggering Fields in ArcGIS Pro 3.4

ArcGIS

Attribute rules triggering fields, specify which fields trigger the rule on update

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Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 on Databricks

databricks

As enterprises build agent systems to deliver high quality AI apps, we continue to deliver optimizations to deliver best overall cost-efficiency for our.

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New with Confluent Platform 7.8: Confluent Platform for Apache Flink® (GA), mTLS Identity for RBAC Authorization, and More

Confluent

Confluent Platform 7.8 brings Confluent Platform for Apache Flink (GA), mTLS Identity for RBAC Authorization, and more.

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AI in Sports: The Data-Driven Game Plan for Success

Snowflake

Running the right play at the right time, guided by the right insight is crucial in any game. It can deliver a win for teams and their fans. AI is creating exciting opportunities today for sports and betting organizations looking for ways to beat the competition by enhancing their personalized fan engagement strategies, creating new monetization opportunities, and boosting existing league and team operations strategies using the best tools available.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.