Sat.Nov 30, 2024 - Fri.Dec 06, 2024

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Webinar: Data Quality in a Medallion Architecture – 2024

DataKitchen

Would you like help maintaining high-quality data across every layer of your Medallion Architecture? Like an Olympic athlete training for the gold, your data needs a continuous, iterative process to maintain peak performance. We covered how Data Quality Testing, Observability, and Scorecards turn data quality into a dynamic process, helping you build accuracy, consistency, and trust at each layerBronze, Silver, and Gold.

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10 Python Libraries Every Developer Should Know

KDnuggets

In this article, we’ll go over Python libraries for tasks like logging, unit testing, data handling, and more — each with features that can simplify your application development.

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How to talk to your board about tech debt

CIO Business Intelligence

When your CEO or CFO asks about the budget needed for technical debt remediation , do you find yourself struggling to justify the investment? You’re not alone. While CIOs understand the crushing weight of technical debt — now costing US companies $2.41 trillion annually — translating this into compelling business language for the board remains a persistent challenge.

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Genie 2: The Next-Generation Foundation Model for Immersive 3D Worlds

Analytics Vidhya

Google DeepMind has recently released Genie 2 as a big advancement in the use of Generative AI. Think about being able to design engrossing, interactive full models from as little as an image suggestion and this is what Genie 2 offers. Its previous version, Genie, surprised us with an opportunity to create engaging 2D spaces; […] The post Genie 2: The Next-Generation Foundation Model for Immersive 3D Worlds appeared first on Analytics Vidhya.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Author visual ETL flows on Amazon SageMaker Unified Studio (preview)

AWS Big Data

Amazon SageMaker Unified Studio (preview) provides an integrated data and AI development environment within Amazon SageMaker. From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. This experience includes visual ETL, a new visual interface that makes it simple for data engineers to author, run, and monitor extract, transform, load (ETL) data integration flow.

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7 Projects to Master Data Engineering

KDnuggets

Learn to build, run, and manage data engineering pipelines both locally and in the cloud using popular tools.

More Trending

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How to Create Publication-Ready Figures and Tables with Python?

Analytics Vidhya

Creating publication-ready figures and tables is essential for academic research and data presentation. Python, with its robust ecosystem of libraries, offers a wide range of tools to help you generate high-quality, aesthetically pleasing, and customizable visuals for your research papers. In this article, we’ll explore how to use Python to generate publication-ready figures and tables. […] The post How to Create Publication-Ready Figures and Tables with Python?

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving. Our customers are telling us that they are seeing their analytics and AI workloads increasingly converge around a lot of the same data, and this is changing how they are using analytics t

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10 GitHub Repositories to Master Reinforcement Learning

KDnuggets

Learn reinforcement learning using free resources, including books, frameworks, courses, tutorials, example code, and projects.

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JPMorgan Chase builds ambitious AI foundation on AWS

CIO Business Intelligence

JPMorgan Chase & Co. has deployed an internal AI assistant dubbed LLM Suite to more than 200,000 employees and is generating genuine value from its early AI investments. At AWS re:Invent Tuesday, JPMorgan Chase Global CIO Lori Beer detailed the evolving partnership between the financial services giant and AWS, which finds JPMorgan pushing the AWS SageMaker machine learning platform and AWS Bedrock generative AI platform beyond experimentation into production applications.

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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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Is the New o1 Model Better than GPT-4o?

Analytics Vidhya

It’s December the world is slowing down, and snow is falling in some corners. But OpenAI? Theyre just getting started. In true festive spirit, Sam Altman and his team are kicking off a 12-day gift spree, and the first one is a big deal: OpenAI o1 their most capable model yet. For months, […] The post Is the New o1 Model Better than GPT-4o?

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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures.

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5 Free Resources to Understand Neural Networks

KDnuggets

Here are five free resources in diverse formats and difficulty levels to acquaint with deep learning models at no cost.

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Better together? Why AWS is unifying data analytics and AI services in SageMaker

CIO Business Intelligence

Data warehousing, business intelligence, data analytics, and AI services are all coming together under one roof at Amazon Web Services. This unification of analytics and AI services is perhaps best exemplified by a new offering inside Amazon SageMaker, Unified Studio , a preview of which AWS CEO Matt Garman unveiled at the companys annual re:Invent conference this week.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Google’s GenCast: Weather Forecasting with GenCast Mini Demo

Analytics Vidhya

Weather is a complex system, and small variations at any moment can lead to significant and sometimes unpredictable changes over time. But, cracking this chaotic system is no easy feat. Over centuries, we have been doing multiple things to predict the weather, such as listening to the cricket chirps or looking to the stars for […] The post Google’s GenCast: Weather Forecasting with GenCast Mini Demo appeared first on Analytics Vidhya.

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How REA Group approaches Amazon MSK cluster capacity planning

AWS Big Data

This post was written by Eunice Aguilar and Francisco Rodera from REA Group. Enterprises that need to share and access large amounts of data across multiple domains and services need to build a cloud infrastructure that scales as need changes. REA Group, a digital business that specializes in real estate property, solved this problem using Amazon Managed Streaming for Apache Kafka (Amazon MSK) and a data streaming platform called Hydro.

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Top 5 Tips for Fine-Tuning LLMs

KDnuggets

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Navigating data governance and classification in generative AI with NetApp

CIO Business Intelligence

In today’s data-driven world, the proliferation of artificial intelligence (AI) technologies has ushered in a new era of possibilities and challenges. One of the foremost challenges that organizations face in employing AI, particularly generative AI (genAI), is to ensure robust data governance and classification practices. In the realm of genAI, the quality and breadth of the data set directly affect the performance and creativity of AI models.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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What is F-Beta Score?

Analytics Vidhya

As indicated in machine learning and statistical modeling, the assessment of models impacts results significantly. Accuracy falls short of capturing these trade-offs as a means to work with imbalanced datasets, especially in terms of precision and recall ratios. Meet the F-Beta Score, a more unrestrictive measure that let the user weights precision over recall or […] The post What is F-Beta Score?

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Cloudera announces ‘Interoperability Ecosystem’ with founding members AWS and Snowflake

Cloudera

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads. But now AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture. All this by making it easier for customers to connect their workloads with Snowflake, Cloudera, and unique AWS services such as Amazon Simple Storage Service

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Getting Started with MongoDB: Installation and Setup Guide

KDnuggets

MongoDB is a database that’s great for handling large amounts of diverse data. This article walks you through installing MongoDB and using the MongoDB Shell to manage your data easily.

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Los copilotos de IA generativa revolucionan el ‘low code’ para acelerar el ‘time-to-market’ y minimizar costes del desarrollo de ‘software’

CIO Business Intelligence

En la búsqueda constante de la innovación, la eficiencia y la ventaja competitiva, las organizaciones han venido mirando hacia las plataformas low code como una solución a diversos desafíos del sector TI: la necesidad de ahorrar costes y tiempo, y la escasez de talento especializado. Con el surgimiento de los copilotos basados en inteligencia artificial (IA) generativa , este tipo de plataformas están dando paso a una nueva etapa del low code que busca llevar a la inteligencia empresarial al sig

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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.

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How to Export Dataframes to CSV in Jupyter Notebook?

Analytics Vidhya

DataFrames are one of the most popular data structures for handling and analyzing tabular data in data science and analytics. Python libraries like pandas provide robust tools for working with DataFrames, allowing data manipulation, transformation, and visualization. Once the analysis is complete, it’s often necessary to export DataFrames to a CSV (Comma-Separated Values) file for […] The post How to Export Dataframes to CSV in Jupyter Notebook?

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Read and write S3 Iceberg table using AWS Glue Iceberg Rest Catalog from Open Source Apache Spark

AWS Big Data

In today’s data-driven world , organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. Enter Amazon SageMaker Lakehouse, which you can use to unify all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI and machine learning (AI/ML) applications on a single copy of data.

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Integrating Machine Learning into Existing Software Systems

KDnuggets

Check out these key concepts, tools, jargon, and tips for integrating ML models into existing software systems.

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South Korea’s political unrest threatens the stability of global tech supply chains

CIO Business Intelligence

South Korea’s sudden political upheaval has raised fresh concerns for its economy and global supply chains, with analysts warning of potential disruptions to its critical technology exports. As a major producer of memory chips, displays, and other critical tech components, South Korea plays an essential role in global supply chains for products ranging from smartphones to data centers.

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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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CrewAI Based DSA Tutor: Personalized Learning with Multi-Agent Systems

Analytics Vidhya

The rapid advancements in artificial intelligence have brought significant innovation to education, where personalized learning solutions are becoming increasingly feasible. Multi-agent systems (MAS), a concept rooted in distributed problem-solving, are particularly well-suited for addressing complex educational challenges. These systems break down tasks among specialized agents, each focusing on specific aspects of the problem, thereby creating […] The post CrewAI Based DSA Tutor: Persona

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How China’s Zipcode System Fuels Business Intelligence

Smart Data Collective

China has a unique zip code system, which makes it easier to develop great business intelligence models.

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From Novice to Pro: A Roadmap for Your Machine Learning Career - KDnuggets

KDnuggets

Let’s take a look at a concise roadmap to building a lasting and effective machine learning career.

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US expands curbs on China’s AI memory and chip tools, raising supply chain concerns

CIO Business Intelligence

The US has announced sweeping new measures targeting China’s semiconductor sector, restricting the export of chipmaking equipment and high-bandwidth memory. This move has sparked concerns over potential supply chain disruptions. The rules impose export restrictions on equipment from manufacturers in countries including Israel, Malaysia, Singapore, South Korea, and Taiwan, while granting exemptions to firms in Japan and the Netherlands.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.