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5 Mind-Blowing GenAI Ad Campaigns Raising the Bar in Advertising

Analytics Vidhya

What if your next favorite ad wasn’t made by humans? Welcome to the era of Generative AI! Here, algorithms are the creative minds behind eye-catching visuals and compelling campaigns. Generative AI (GenAI) is revolutionizing the media and advertising industry, turning traditional ad creation on its head. From designing visuals to personalizing customer experiences, GenAI is […] The post 5 Mind-Blowing GenAI Ad Campaigns Raising the Bar in Advertising appeared first on Analytics Vidhya.

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Las 15 tecnologías más infravaloradas en el ecosistema de TI

CIO Business Intelligence

La inteligencia artificial (IA) continúa dominando los debates sobre tecnología, a medida que los ejecutivos (y los trabajadores de todos los niveles) buscan formas de usarla para hacer que el trabajo sea más fácil, más rápido y, en última instancia, más rentable. En gran medida, este bombo publicitario está justificado, ya que la IA ya aporta valor de múltiples maneras.

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A Guide to the Six Types of Data Quality Dashboards

DataKitchen

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. Data quality dashboards have emerged as indispensable tools, offering a clear window into the health of their data and enabling targeted actionable improvements. However, not all data quality dashboards are created equal.

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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. And while most executives generally trust their data, they also say less than two thirds of it is usable.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Math Myths Busted: What Beginners Actually Need for Data Science

KDnuggets

Terrified of calculus but dream of being a data scientist? Breathe easy! Discover the surprising truth about math in data science and how you can succeed without being a math genius.

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Intel Accelerators on Amazon OpenSearch Service improve price-performance on vector search by up to 51%

AWS Big Data

This post is co-written with Mulugeta Mammo and Akash Shankaran from Intel. Today, we’re excited to announce the availability of Intel Advanced Vector Extensions 512 (AVX-512) technology acceleration on vector search workloads when you run OpenSearch 2.17+ domains with the 4 th generation Intel Xeon Intel instances on the Amazon OpenSearch Service. When you run OpenSearch 2.17 domains on C/M/R 7i instances , you can gain up to 51% in vector search performance at no additional cost compared to pr

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Cloudera and AWS Partner to Deliver Cost-Efficient and Sustainable Infrastructure for AI and Analytics

Cloudera

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cost has been a key consideration in public cloud adoption from the start. Today, energy efficiency is gaining importance, not only for cutting costs but also as a vital step toward sustainable business practices.

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Impact of GenAI on the Software Testing Market

KDnuggets

Could AI replace traditional software testers? Learn how Generative AI transforms their roles and supercharges testing efficiency without missing critical tests.

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Introducing AWS Glue Data Catalog automation for table statistics collection for improved query performance on Amazon Redshift and Amazon Athena

AWS Big Data

The AWS Glue Data Catalog now automates generating statistics for new tables. These statistics are integrated with the cost-based optimizer (CBO) from Amazon Redshift Spectrum and Amazon Athena , resulting in improved query performance and potential cost savings. Queries on large datasets often read extensive amounts of data and perform complex join operations across multiple datasets.

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Exploring the Latest Features of Claude 3.5 and What We Can Do With Them

Analytics Vidhya

Anthropic’s Claude 3.5 is one of the latest updates in the field of generative AI. This new and improved GenAI chatbot introduces powerful features that extend its usability across various domains. With new features like prompt advising, artifacts, and tools to interact with computer files, Claude 3.5 aims to serve businesses, developers, researchers, and general […] The post Exploring the Latest Features of Claude 3.5 and What We Can Do With Them appeared first on Analytics Vidhya.

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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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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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Security-FinOps collaboration can reap hidden cloud benefits: 11 tips

CIO Business Intelligence

For enterprises operating on the cloud, security and cost management are rising concerns. Typically, these issues are addressed in silos, with cyber teams and FinOps teams pursuing their charters and priorities separately — and with little thought given to collaboration opportunities between these teams that could be leveraged for better business results.

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5 Unconventional Sources of Data for Your Next Project

KDnuggets

When working on a project, think beyond traditional data sources. Explore unconventional options like social media and user-generated content for fresh insights.

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Develop a business chargeback model within your organization using Amazon Redshift multi-warehouse writes

AWS Big Data

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Thousands of customers use Amazon Redshift data sharing to enable instant, granular, and fast data access shared across Redshift provisioned clusters and serverless workgroups. This allows you to scale your read workloads to thousands of concurrent users without having to move or copy data.

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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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Building an English Educator App API with Google Gemini and FastAPI

Analytics Vidhya

In the dynamic world of artificial intelligence and super advancement of Generative AI, developers are constantly seeking innovative ways to extract meaningful insight from text. This blog post walks you through an exciting project that harnesses the power of Google’s Gemini AI to create an intelligent English Educator Application that analyzes text documents and provides […] The post Building an English Educator App API with Google Gemini and FastAPI appeared first on Analytics Vidh

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Secure Data Sharing and Interoperability Powered by Iceberg REST Catalog

Cloudera

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments. Despite various architectural patterns and paradigms, they still end up with perpetual “data puddles” and silos in many non-interoperable data formats.

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4 prerequisites for IT leaders to navigate today’s era of disruption

CIO Business Intelligence

For its Generative AI Readiness Report, IT services company Avanade surveyed over 3,000 business and IT executives in 10 countries from companies with at least $500 million in annual revenue. Unsurprisingly, more than 90% of respondents said their organization needs to shift to an AI-first operating model by the end of this year to stay competitive — and time to do so is running out.

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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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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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Amazon EMR streamlines big data processing with simplified Amazon S3 Glacier access

AWS Big Data

Amazon S3 Glacier serves several important audit use cases, particularly for organizations that need to retain data for extended periods due to regulatory compliance, legal requirements, or internal policies. S3 Glacier is ideal for long-term data retention and archiving of audit logs, financial records, healthcare information, and other compliance-related data.

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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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Darkhorse Analytics Introduces The Interactive Data Viz Academy

Darkhorse

Darkhorse Analytics is proud to introduce The Interactive Data Viz Academy , a free two-day intensive workshop designed for principal investigators, NGO leaders, and researchers seeking to elevate their data visualization projects. This program focuses on providing the framework to create impactful visualizations that resonate with policymakers, funders, and the public.

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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. However, there’s a significant difference between those experimenting with AI and those fully integrating it into their operations. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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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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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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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics.

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RAG vs Agentic RAG: A Comprehensive Guide

Analytics Vidhya

Today, I am discussing RAG vs Agentic RAG. In this guide, I will provide you with the comparison and then proceed to the hands-on part. Firstly, let’s understand what RAG is. It is not a piece of old cloth but the framework LLM uses to get relevant, up-to-date, and context-specific information by combining retrieval and […] The post RAG vs Agentic RAG: A Comprehensive Guide appeared first on Analytics Vidhya.

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Lonnng Bar Chart Labels: 5 Fixes to Avoid Diagonal and Cut-Off Wording in Excel

Depict Data Studio

If you’ve got a column chart with lots of labels, chances are, the labels have gotten twisted diagonally, like this: Diagonal text takes longer to read than plain ol’ horizontal text, so we want to avoid it. In this lesson, you’ll learn 5 ways to fix those lonnng chart labels: [link] What’s Inside 0:00 Intro 0:58 Fix 1: Slow-to-Read Diagonal Text 1:18 Fix 2: Unreadable Tiny Text 1:38 Fix 3: Cartoonishly-Big Chart 2:38 Fix 4: Column Chart into Bar Chart (with Change Chart

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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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Why enterprises still struggle to implement AI organization-wide (and what you can do about it)

CIO Business Intelligence

As the enthusiasm around artificial intelligence (AI) reaches its peak, it has become clear that AI is no longer just a “nice-to-have” for enterprises. Now a game changer for its efficiency and productivity gains it offers businesses, it’s no wonder that nearly every enterprise has some form of AI in place. But maximizing their AI potential can be a sizable challenge.

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Tips for Handling Large Datasets in Python

KDnuggets

Working with large datasets is common but challenging. Here are some tips to make working with such large datasets in Python simpler.

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Introducing the HubSpot connector for AWS Glue

AWS Big Data

Most companies have adopted a diverse set of software as a service (SaaS) platforms to support various applications. The rapid adoption has enabled them to quickly streamline operations, enhance collaboration, and gain more accessible, scalable solutions for managing their critical data and workflows. More companies have realized there is an opportunity to integrate, enhance, and present this SaaS data to improve internal operations and gain valuable insights on their data.

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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 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.