December, 2024

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Top 50 Python Libraries to Know in 2025

Analytics Vidhya

Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. With a rich ecosystem of libraries, Python empowers developers to tackle complex tasks with ease. In this comprehensive guide, we’ll explore the top 50 Python libraries that will shape the future of technology.

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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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Generative Logic

O'Reilly on Data

Alibabas latest model, QwQ-32B-Preview , has gained some impressive reviews for its reasoning abilities. Like OpenAIs GPT-4 o1, 1 its training has emphasized reasoning rather than just reproducing language. That seemed like something worth testing outor at least playing around withso when I heard that it very quickly became available in Ollama and wasnt too large to run on a moderately well-equipped laptop, I downloaded QwQ and tried it out.

Testing 190
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How the world can tackle the power demands of artificial intelligence

CIO Business Intelligence

The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions. But pioneering technologists are working on a potential game changer that goes some way to address these issues: photonics.

Finance 131
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Build Write-Audit-Publish pattern with Apache Iceberg branching and AWS Glue Data Quality

AWS Big Data

Given the importance of data in the world today, organizations face the dual challenges of managing large-scale, continuously incoming data while vetting its quality and reliability. The importance of publishing only high-quality data cant be overstatedits the foundation for accurate analytics, reliable machine learning (ML) models, and sound decision-making.

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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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Summary of the Gartner Presentation: “How Can You Leverage Technologies to Solve Data Quality Challenges?”

DataKitchen

The Gartner presentation, How Can You Leverage Technologies to Solve Data Quality Challenges? by Melody Chien, underscores the critical role of data quality in modern business operations. High-quality data is the blood that sustains the organizational value chainimpacting everything from logistics to services, sales, and marketing. Poor data quality, on average, costs organizations $12.9 million annually , or 7% of their total revenue.

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Summarizing Books as Podcasts

O'Reilly on Data

Like just about everyone, we were impressed by the ability of NotebookLM to generate podcasts: Two virtual people holding a discussion. You can give it some links, and it will generate a podcast based on the links. The podcasts were interesting and engaging. But they also had some limitations. The problem with NotebookLM is that, while you can give it a prompt, it largely does what its going to do.

Software 147
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AI data readiness: C-suite fantasy, big IT problem

CIO Business Intelligence

Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Nearly nine in 10 business leaders say their organizations data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey.

IT 117
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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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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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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.

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Anthropic Computer Use: AI Assitant Taking Over Your Computer

Analytics Vidhya

Imagine your AI assistant taking over your mouse and keyboard to navigate a computer just like you wouldclicking, typing, and scrolling, all by “looking” at the screen. Anthropic’s latest update introduces this cool capability to their AI model, Claude. Its in beta testing, but its already shaking up how AI can interact with software.

Testing 286
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Empowering Students with Skills for Data-Driven Careers

Smart Data Collective

More careers are going to be affected by big data, which means that employees need the right skills.

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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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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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5 tips for better business value from gen AI

CIO Business Intelligence

CIOs have been able to ride the AI hype cycle to bolster investment in their gen AI strategies, but the AI honeymoon may soon be over, as Gartner recently placed gen AI at the peak of inflated expectations , with the trough of disillusionment not far behind. That doesnt mean investments will dry up overnight. According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five y

Sales 142
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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 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.

Testing 144
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Top 5 Reasons to Use AI Agents in 2025

Analytics Vidhya

The future is here, and its powered by AI agents. Unlike traditional software or AI tools, these agents are designed to operate autonomously, adapt to complex environments, and execute tasks without needing constant human oversight. Their ability to streamline processes, personalize experiences, and enable smarter decision-making makes them an indispensable asset for organizations and individuals […] The post Top 5 Reasons to Use AI Agents in 2025 appeared first on Analytics Vidhya.

Software 261
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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 Data-Driven Businesses Must Do Recover Data

Smart Data Collective

Data-driven businesses need to make hard drive data recovery options part of their data loss strategy.

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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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Cost, security, and flexibility: the business case for open source gen AI

CIO Business Intelligence

Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. It could be used to improve the experience for individual users, for example, with smarter analysis of receipts, or help corporate clients by spotting instances of fraud. Take for example the simple job of reading a receipt and accurately classifying the expenses.

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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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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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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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GenAI Ops Roadmap: Your Path to Master LLMOps and AgentOps

Analytics Vidhya

To truly become an expert in GenAI Ops, the key is not just knowing what to learn, but how to learn it and apply it effectively. The journey begins with gaining a broad understanding of foundational concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents. However, your focus should gradually shift to mastering […] The post GenAI Ops Roadmap: Your Path to Master LLMOps and AgentOps appeared first on Analytics Vidhya.

Analytics 225
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Data-Driven Businesses Rediscover Benefits of Faxing Software

Smart Data Collective

Big data technology helps companies use fax machines more effectively, especially if they have the right fax software.

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Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.

Metrics 78
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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.

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How AI orchestration has become more important than the models themselves

CIO Business Intelligence

Large language models (LLMs) just keep getting better. In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. From Llama3.1 to Gemini to Claude3.5 to GPT-o1, the list keeps growing, along with a legion of new tools and platforms used for developing and customizing these models for specific use cases.

Modeling 115
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Federate to Amazon Redshift Query Editor v2 with Microsoft Entra ID

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. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets. To interact with and analyze data stored in Amazon Redshift, AWS provides the Amazon Redshift Query Editor V2 , a web-based tool that allows you to explore, analyze, an

Sales 105
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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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ChatGPT Can Now See You!

Analytics Vidhya

OpenAI has released a Christmas miracle on Day 6 of its 12 Days of OpenAI series by giving ChatGPT, vision! Yes, OpenAI has introduced vision capabilities on ChatGPT, upgrading the existing voice chat feature to advanced voice mode with vision. This vision feature lets users have a video chat with ChatGPT and even share their […] The post ChatGPT Can Now See You!

Analytics 205
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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.