Sat.Mar 08, 2025 - Fri.Mar 14, 2025

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Unlock the power of optimization in Amazon Redshift Serverless

AWS Big Data

Amazon Redshift Serverless automatically scales compute capacity to match workload demands, measuring this capacity in Redshift Processing Units (RPUs). Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume.

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Low-Code & No-Code: What’s Real, What’s Hype, & Who Actually Delivers?

Dataiku

Terms like "low-code" and "no-code" have become ubiquitous, often touted as revolutionary approaches to software development. While many acknowledge their potential, there's still a cloud of ambiguity surrounding what these terms truly mean, what they promise, and what they actually deliver.

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5 AI Myths Holding Your Business Back

Dataiku

As AI adoption continues to grow, businesses are asking fundamental questions: What is value? How do we measure it? And when can we expect to see results? In a 2024 Everyday AI Berlin session , we explored these pressing issues through real-world insights, interactive discussions, and industry data.

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How to Use Apache Iceberg Tables?

Analytics Vidhya

Apache Iceberg is a modern table format designed to overcome the limitations of traditional Hive tables, offering improved performance, consistency, and scalability. In this article, we will explore the evolution of Iceberg, its key features like ACID transactions, partition evolution, and time travel, and how it integrates with modern data lakes. Well also dive into […] The post How to Use Apache Iceberg Tables?

Data Lake 210
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. Amazon SageMaker brings together widely adopted AWS machine learning (ML) and analytics capabilities and addresses the challenges of harnessing organizational data for analytics and AI through unified access to tools and data with governance built in.

Analytics 112
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AI in action: How enterprises are scaling AI for real business impact

CIO Business Intelligence

To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. Strong domain expertise, solid data foundations and innovative AI capabilities will help organizations accelerate business outcomes and outperform their competitors. Enterprise technology leaders discussed these issues and more while sharing real-world examples during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI.

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Traditional RAG to Graph RAG: The Evolution of Knowledge Retrieval Systems in Artificial Intelligence

Analytics Vidhya

The change from traditional retrieval-augmented generation to Graph RAG proves an interesting shift in machines’ understanding and processing of knowledge, and this study considers both architectures in their differences, applications, and further trajectories. The present organization and access of information will tell whether the AI merely has an answer or actually understands the question in […] The post Traditional RAG to Graph RAG: The Evolution of Knowledge Retrieval Systems i

Analytics 167
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What Are the Ethical Implications of Using AI in Advertising

Smart Data Collective

You can harness the power of AI to create personalized, data-driven ad campaigns but must be aware of the ethical issues.

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Ensuring Data Transformation Quality with dbt Core

Wayne Yaddow

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows. dbt Core was created with the belief that transformed and converted data should be trustworthy and well-documented from thestart. dbt Core enables users to wr

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The Hundred-Page Language Models Book: A Great Technical Intro to LLMs

KDnuggets

The Hundred-Page Language Models Book is the LLM book you shouldn't miss.

Modeling 134
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Generative AI Salary Trends 2025 Edition

Analytics Vidhya

Wondering what all the buzz is about? Or maybe youre asking yourself: Is this the right career move for me? Generative AI is taking the world by storm, and with it comes a gold rush for talent. From generating images to powering chatbots that sound eerily human, professionals in this field are in high demand […] The post Generative AI Salary Trends 2025 Edition appeared first on Analytics Vidhya.

Analytics 173
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How AI is Helping Drive Advances in Inventory Management Software

Smart Data Collective

Optimize your supply chain with AI-powered Bill of Materials software for smarter, faster, and error-free production.

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Intelligent Document Processing – Live Demo Form

Decision Management Solutions

Intelligent Document Processing To learn more about our Intelligent Document Processing offering, please complete the form below: Name * First Last Business Email * Company * Title * Phone Number * Δ The post Intelligent Document Processing – Live Demo Form appeared first on Blue Polaris, formerly Decision Management Solutions.

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How to Secure Docker Containers with Best Practices

KDnuggets

Learn how to protect your Docker containers from vulnerabilities and security threats by following these best practices.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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LaTeXify in Python: No Need to Write LaTeX Equations Manually

Analytics Vidhya

In mathematical computing and scientific programming, clear and precise representation of functions is essential. While LaTeX is widely used for formatting mathematical expressions, manually writing equations can be time-consuming. The latexify-py library offers a solution by automatically converting Python functions into LaTeX-formatted expressions.

Analytics 136
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Ensuring Data Transformation Results with Great Expectations

Wayne Yaddow

How GX helps data teams validate, test, and monitor complex data pipelines Introduction Data flows from diverse sources, and transformations are becoming increasingly complex. However, Great Expectations (GX ) sets itself apart as a robust, open-source framework that helps data teams maintain consistent and transparent data quality standards. Great Expectations can be integrated directly into existing data pipelines to define, test, and document expectations about the appearance of transformed o

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Enhance Your Payroll Planning with FREE Payroll Planning Templates

Paris Technologies

Payroll Planning Templates for Excel. Free Excel templates, automated with PowerQuery. Adopt these templates and your payroll planning will be easy!

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Creating Automated Data Cleaning Pipelines Using Python and Pandas

KDnuggets

Find yourself running the same data cleaning steps time and again? Learn how to automate some of this boring stuff using Python and pandas.

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Data Talks, CFOs Listen: Why Analytics Is The Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.

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The Rise of Large Concept Models: AI’s Next Evolutionary Step

Analytics Vidhya

Have you been using ChatGPT these days? I am sure you are, but have you ever wondered whats the core of this technological innovation? Weve been living in what many call the Gen AI era all because of these Large Language Models. However, some tech leaders believe LLMs may be hitting a plateau. In response, […] The post The Rise of Large Concept Models: AI’s Next Evolutionary Step appeared first on Analytics Vidhya.

Modeling 146
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The Hidden Gold Mine: Unveiling Your Data’s True Worth

Anmut

What if your most valuable asset is invisible? Imagine discovering that 20-30% of your organisation’s total value is hidden – neither recorded on balance sheets nor recognised in boardroom discussions. This isn’t fantasy. It’s the reality of data valuation in today’s businesses. Beyond the buzzwords: what Data Valuation really means Data valuation transforms the abstract into the concrete by assigning real monetary worth to your information assets.

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Dataiku and Databricks Streamline MLOps at Scale to Drive Business Value

Dataiku

Scaling AI successfully isnt just about building models its about ensuring they function in production, at scale, across teams and platforms. This requires a scalable and governed MLOps pipeline, particularly when models are developed across multiple platforms like Dataiku and Databricks.

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5 Cheapest Cloud Platforms for Fine-tuning LLMs

KDnuggets

Stop overpaying for LLM fine-tuning! Discover 5 affordable cloud alternatives to AWS & GCP.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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This is How Andrej Karpathy Uses LLMs

Analytics Vidhya

In his latest video, “How I use LLMs: Andrej Karpathy,” the renowned AI expert pulls back the curtain on the evolving world of LLM. Serving as a follow-up to his earlier video “Deep Diving into LLMs” from the General Audience Playlist on his YouTube channel, this presentation explores how the initial textual chat interface hosted […] The post This is How Andrej Karpathy Uses LLMs appeared first on Analytics Vidhya.

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How Data Quality Leaders Can Gain Influence And Avoid The Tragedy of the Commons

DataKitchen

How Data Quality Leaders Can Gain Influence And Avoid The Tragedy of the Commons Data quality has long been essential for organizations striving for data-driven decision-making. Despite the best efforts of data teams, poor data quality remains a persistent challenge, leading to distrust in analytics, inefficiencies in operations, and costly errors. Many organizations struggle with incomplete, inconsistent, or outdated data, making it difficult to derive reliable insights.

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How Dataiku Keeps You in the Driver's Seat With AutoML

Dataiku

In today's fast-paced data-driven landscape, businesses demand quick and effective machine learning (ML) solutions. However, data teams often struggle with balancing speed, accuracy, and interpretability. Automated machine learning (AutoML) promises to streamline model development, but many data scientists are skeptical, fearing a lack of control and transparency.

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10 Essential Bash Shell Commands for Data Science

KDnuggets

In this tutorial, well cover 10 essential Bash shell commands every data scientist should know — commands that save time, simplify tasks, and keep you focused on insights rather than busywork.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Top 6 SOTA LLMs for Code, Web search, Research and More

Analytics Vidhya

In Artificial Intelligence, large language models (LLMs) have become essential, tailored for specific tasks, rather than monolithic entities. The AI world today has project-built models that have heavy-duty performance in well-defined domains be it coding assistants who have figured out developer workflows, or research agents navigating content across the vast information hub autonomously.

Modeling 218
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AI’s Future: Not Always Bigger

O'Reilly on Data

On May 8, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If youre in the trenches building tomorrows development practices today and interested in speaking at the event, wed love to hear from you by March 12.

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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO Business Intelligence

Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. Its a quickly-evolving field, he says, and the demand for professionals with experience in this space is exceedingly high. Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security.

IT 136
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A Practical Guide to Modern Airflow

KDnuggets

Most data professionals and top companies, such as Airbnb and Netflix, use Apache Airflow daily. That is why you will learn how to install and use Apache Airflow in this article.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.