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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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

Insurance 130
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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 113
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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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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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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 109
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Data Contracts were a LIE!

Confessions of a Data Guy

Today we talk about what is really going on with Data Contracts, they came in like a rocket a few years ago, but then died on the vine. What’s the deal? The post Data Contracts were a LIE! appeared first on Confessions of a Data Guy.

Data 100

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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 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 101
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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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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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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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Scaling AI Solutions with Cloudera: A Deep Dive into AI Inference and Solution Patterns

Cloudera

As organizations increasingly integrate AI into day-to-day operations, scaling AI solutions effectively becomes essential yet challenging. Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. Cloudera tackles these challenges with the AI Inference service and tailored Solution Patterns developed by Clouderas Professional Services, empowering organizations to operationalize AI at scale across industries.

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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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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 82
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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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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.

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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 79
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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.

AWS 89
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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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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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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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Building Industry-leading AI Models for Universal Speech Intelligence

databricks

We just followed the documentation online, and within a few hours, we were operational and started running a job. We never had any.

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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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Use advanced calculation options in ArcGIS Business Analyst Pro’s suitability analysis workflow

ArcGIS

Learn about updates to Business Analyst Pros suitability analysis workflow in the November 2024 release.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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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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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 87
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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 72
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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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Databricks and AWS: The Partnership That Took re:Invent 2024 by Storm

databricks

What makes a great partnership? For Databricks and AWS, its not just about building togetherits about helping businesses succeed together. At AWS re:Invent.

AWS 84
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Why Data Quality for AI Matters

Monte Carlo

Data quality for AI is essential. Why? AI without quality data is like a master chef without fresh ingredients. Hand either of them compromised raw materials and, no matter their expertise or sophisticated techniques, the end result will fall flat. You can have the smartest AI models in the world, but without clean, accurate data, youre setting your AI up to be less Einstein and more Mr.

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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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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.