December, 2024

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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 134
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News Classification by Fine-tuning Small Language Model

Analytics Vidhya

Small Language Models (SLMs) are compact, efficient versions of large language models (LLMs) with fewer than 10 billion parameters. They are designed to reduce computational costs, energy usage, and latency while maintaining targeted performance. SLMs are ideal for resource-constrained environments like edge computing and real-time applications. By focusing on specific tasks and utilizing smaller datasets, […] The post News Classification by Fine-tuning Small Language Model appeared first

Modeling 271
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Transforming Task Automation: The Future of Intelligent Orchestration

David Menninger's Analyst Perspectives

The evolution from basic task automation platforms to advanced task orchestration and management marks a milestone in the journey toward Intelligent Automation. Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities. However, as the need for seamless coordination of multiple automated tasks becomes increasingly apparent, enterprises are transitioning toward orchestration approaches that enhance operatio

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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 202
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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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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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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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Andrej Karpathy Praises DeepSeek V3’s Frontier LLM, Trained on a $6M Budget

Analytics Vidhya

Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models. Now, what if I tell you there […] The post Andrej Karpathy Praises DeepSeek V3s Frontier LLM, Trained on a $6M Budget appeared first on Analytics Vidhya.

Modeling 367
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Automating Document Processing With AI

Dataiku

Organizations accumulate vast amounts of key information , much of which is locked away in documents. These documents whether they are reports, contracts, invoices, or emails are typically designed for human consumption, making them difficult to process automatically. Fortunately, Document AI , the subfield of AI focused on documents, is making rapid and significant progress.

Reporting 119
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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 195
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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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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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2024’s Biggest Moments in AI

KDnuggets

2024 has been yet another groundbreaking year for AI, with major breakthroughs, industry shifts, and ethical challenges shaping its future. Let's uncover together the key moments that defined AI this year about to finalize.

IT 138
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12 AI predictions for 2025

CIO Business Intelligence

Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors.

Software 141
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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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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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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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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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Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1

AWS Big Data

The Amazon EMR runtime for Apache Spark offers a high-performance runtime environment while maintaining 100% API compatibility with open source Apache Spark and Apache Iceberg table format. Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. In this post, we demonstrate the performance benefits of using the Amazon EMR 7.5 runtime for Spark and Iceberg compared to open source Spark 3.5.3 with Iceberg 1.6.1

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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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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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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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Marco-o1: Redefining LLMs with Advanced Reasoning

Analytics Vidhya

Generative AI has often faced criticism for its inability to reason effectively, particularly in scenarios requiring precise and deterministic outputs. Barely predicting the next token has proven to be very tough when the next token has to be as exact as being a single option. For instance, writing an essay can take a thousand forms and […] The post Marco-o1: Redefining LLMs with Advanced Reasoning appeared first on Analytics Vidhya.

Analytics 271
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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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Cloudera’s Take: What’s in Store for Data and AI in 2025

Cloudera

In the last year, weve seen the explosion of AI in the enterprise, leaving organizations to consider the infrastructure and processes for AI to successfullyand securelydeploy across an organization. As we head into 2025, its clear that next year will be just as exciting as past years. Here, Cloudera experts share their insights on what to expect in data and AI for the enterprise in 2025.

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Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation

AWS Big Data

Amazon Q data integration , introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. This post introduces exciting new capabilities for Amazon Q data integration that work together to make ETL development more efficient and intuitive.

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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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Job Hunting in 2025: What You Need to Know

KDnuggets

This is a quick shortlist to make sure youre ticking off the essentials for your job hunt in 2025.

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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 143
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ChatGPT Search Launched: Is This the End of Google Search?

Analytics Vidhya

OpenAI is raining Christmas presents almost everyday this December! On Day-8 of their Shipmas event, OpenAI has made ChatGPT Search available to all! This new web search feature which was rolled out to ChatGPTs paid users earlier this year, is now available to all logged-in users of ChatGPT worldwide. Not just that, ChatGPT Search is […] The post ChatGPT Search Launched: Is This the End of Google Search?

Analytics 268
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The ABCs of AI Literacy: Why It’s Non-Negotiable for Enterprise Success

Dataiku

With a robust AI literacy strategy, shape AI before it shapes you. Discover the AI literacy bundle from Dataiku in association with Deloitte today.

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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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KitikiPlot: Your New Go-To for Time-Series Data Visualization

Analytics Vidhya

Introducing KitikiPlot, a Python library designed for visualizing sequential and time-series categorical “Sliding Window” patterns. This innovative tool is designed to empower data practitioners across various fields, including genomics, air quality monitoring, and weather forecasting to uncover insights with enhanced clarity and precision.

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Level-up your AI Development with OpenAI o1

Analytics Vidhya

Imagine having an AI tool that not only understands your complex queries but also reasons through them like a seasoned expert. OpenAI o1 is here to revolutionize how developers interact with AI, offering unparalleled reasoning capabilities, real-time audio integration, and enhanced customization options. With features like a massive 200K-token context window and developer-friendly SDKs, o1 […] The post Level-up your AI Development with OpenAI o1 appeared first on Analytics Vidhya.

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Marco-o1 vs Llama 3.2: Which is Better?

Analytics Vidhya

OpenAI’s o1 model has generated considerable excitement in the field of large reasoning models (LRMs) due to its advanced capabilities in tackling complex problems. Building on this foundation, Marco-o1 emerges as a new LRM that not only emphasizes traditional disciplines such as mathematics and coding but also prioritizes open-ended problem-solving across a variety of domains.

Modeling 286
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Object Detection with TensorFlow

Analytics Vidhya

Object detection is pivotal in artificial intelligence, serving as the backbone for numerous cutting-edge applications. From autonomous vehicles and surveillance systems to medical imaging and augmented reality, the ability to identify and locate objects in images and videos is transforming industries worldwide. TensorFlow’s Object Detection API, a powerful and versatile tool, simplifies building robust object […] The post Object Detection with TensorFlow appeared first on Analytics

Analytics 223
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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.