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Top 13 Advanced RAG Techniques for Your Next Project

Analytics Vidhya

Can AI generate truly relevant answers at scale? How do we make sure it understands complex, multi-turn conversations? And how do we keep it from confidently spitting out incorrect facts? These are the kinds of challenges that modern AI systems face, especially those built using RAG. RAG combines the power of document retrieval with the […] The post Top 13 Advanced RAG Techniques for Your Next Project appeared first on Analytics Vidhya.

Analytics 208
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AI brings complexity to cybersecurity and fraud

CIO Business Intelligence

The 2024 Security Priorities study shows that for 72% of IT and security decision makers, their roles have expanded to accommodate new challenges, with Risk management, Securing AI-enabled technology and emerging technologies being added to their plate. Artificial Intelligence has sharpened both edges of the sword, as organizations are better equipped to defend against cybersecurity conundrums that are finessed to be deadly, wide-ranging and impacting operations and market reputation.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Lets be real: building LLM applications today feels like purgatory. Someone hacks together a quick demo with ChatGPT and LlamaIndex. Leadership gets excited. We can answer any question about our docs! But then reality hits. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. We call this POC Purgatorythat frustrating limbo where you’ve built something cool but can’t quite turn it into something real.

Testing 174
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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks. Forrester reports that 30% of IT leaders struggle with high or critical debt, while 49% more face moderate levels.

Risk 123
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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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Build multi-Region resilient Apache Kafka applications with identical topic names using Amazon MSK and Amazon MSK Replicator

AWS Big Data

Resilience has always been a top priority for customers running mission-critical Apache Kafka applications. Amazon Managed Streaming for Apache Kafka (Amazon MSK) is deployed across multiple Availability Zones and provides resilience within an AWS Region. However, mission-critical Kafka deployments require cross-Region resilience to minimize downtime during service impairment in a Region.

Metrics 75
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7 GitHub Projects to Master Machine Learning

KDnuggets

Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.

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5 Proven Data-Driven Strategies to Skyrocket Your Company’s Revenue

Aryng

If your companys revenue is stagnating or worse, plummeting, its because something in your strategy is broken. But the good news is that you dont need to burn more cash on ads, hire expensive consultants, or pivot to something completely new. All you need is better data-driven decision-making. How to Increase Revenue for Your […] The post 5 Proven Data-Driven Strategies to Skyrocket Your Companys Revenue appeared first on Aryng's Blog.

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88% of AI pilots fail to reach production — but that’s not all on IT

CIO Business Intelligence

The proof of concept (POC) has become a key facet of CIOs AI strategies, providing a low-stakes way to test AI use cases without full commitment. But as enterprises increasingly experience pilot fatigue and pivot toward seeking practical results from their efforts , learnings from these experiments wont be enough the process itself may need to produce more targeted success rates.

ROI 127
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Decentralized AI Training: 4 Leading Dataset Solutions For Your Business

Smart Data Collective

Empower your AI! Discover 4 leading dataset solutions for decentralized AI training that can elevate your business's capabilities.

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Building an Automatic Speech Recognition System with PyTorch & Hugging Face

KDnuggets

Check out this step-by-step guide to building a speech-to-text system with PyTorch & Hugging Face.

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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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ROUGE: Decoding the Quality of Machine-Generated Text

Analytics Vidhya

Imagine an AI that can write poetry, draft legal documents, or summarize complex research papersbut how do we truly measure its effectiveness? As Large Language Models (LLMs) blur the lines between human and machine-generated content, the quest for reliable evaluation metrics has become more critical than ever. Enter ROUGE (Recall-Oriented Understudy for Gisting Evaluation), a […] The post ROUGE: Decoding the Quality of Machine-Generated Text appeared first on Analytics Vidhya.

Metrics 199
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Infographic: Observability for AI Innovation

BI-Survey

Measuring and Optimizing Data Quality, Pipelines and AI/ML Models As AI amplifies the risks and benefits of analytics, the transparency and reliability of inputs and outputs are becoming increasingly important for organizations. This makes it even more important to understand why, where, and how users are implementing observability. This BARC study examines three key observability disciplines – data quality, data pipeline and AI/ML models with a focus on measuring, monitoring and optimizi

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El 88% de los pilotos de IA no llega a la fase de producción, pero no es culpa todo de TI

CIO Business Intelligence

La prueba de concepto (POC) se ha convertido en una faceta clave de las estrategias de inteligencia artificial (IA) de los CIO , ya que proporciona una forma de bajo riesgo de probar casos de uso de IA sin un compromiso total. Pero a medida que las empresas experimentan cada vez ms fatiga piloto y se vuelcan en la bsqueda de resultados prcticos de sus esfuerzos , los aprendizajes de estos experimentos no sern suficientes; es posible que el proceso en s mismo deba producir tasas de xito ms especf

ROI 99
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Is Your Internet Fast Enough for Streaming AI Generated Content?

Smart Data Collective

Generative AI is revolutionizing video production, making high-quality content creation faster, more affordable, and accessible to more creators.

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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.

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Land Your Dream Machine Learning Job in 2025

KDnuggets

In this article, I will go through 5 pointers on how to help you secure your dream job.

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How to Use MCP: Model Context Protocol

Analytics Vidhya

Youve built applications with LLMs. Youve played with agents. Maybe youve even worked with LangChain, AutoGen, or OpenAIs Assistants API. Isnt it impressive how much these models can reason, understand, and generate? But the moment your agent needs to do something real, like check a database, read from a CRM, or fetch a Google Doc; […] The post How to Use MCP: Model Context Protocol appeared first on Analytics Vidhya.

Modeling 197
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Introducing: The Dataiku Code Agentifier™

Dataiku

At Dataiku, weve always believed in empowering people through Everyday AI. But today, were going one step further: Were empowering your code.

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The EU AI Act is here. Are you prepared for it?

CIO Business Intelligence

With the Digital Agenda , the European Union is creating clear and uniform rules for the responsible use of data and artificial intelligence. In addition to the General Data Protection Regulation which went into effect in May 2018 its current focus is on the EU AI Act and the EU Data Act. The EU AI Act will be implemented in stages over the next two years, starting in February 2025, and the EU Data Act will be implemented in stages starting in fall 2025.

IT 95
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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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When Connectivity Fails and Data Breaks Down

Anmut

When connectivity fails Imagine this: You’re sitting down to work, and suddenly, everything goes dark. Not just your computer screen, but your entire digital ecosystem. No internet. No mobile data. Complete digital silence. This happened to me recently during a brief but jarring local power outage, and it triggered a profound realisation about our modern dependency on connectivity.

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10 Pandas One-Liners for Data Cleaning

KDnuggets

Want to make data cleaning more enjoyable? These pandas one-liners for data cleaning will help you get more done with less!

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DeepSeek V3-0324 vs Claude 3.7: Which is the Better Coder?

Analytics Vidhya

As AI models advance, their programming and software development capabilities have become key benchmarks. Two leading contenders in the coding scene are DeepSeek V3 and Claude 3.7. DeepSeek V3-0324, the latest from DeepSeek AI, comes with promising benchmark results on coding tasks. Meanwhile, Anthropics newest model, Claude 3.7, is a stronger generalist AI with superior […] The post DeepSeek V3-0324 vs Claude 3.7: Which is the Better Coder?

Software 180
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Preparing Power BI and Fabric for AI & Copilot

Paul Turley

It is no secret that the AI revolution has started. Most every modern business application has an agent, a copilot or assistant asking to help to write a document or take meeting notes. Nearly every banking or telecom customer service site greets us with a chatbot.

IT 52
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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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The impact of language AI on global communication

CIO Business Intelligence

As the world becomes increasingly globalized, businesses need to adapt which is why language translation has never been more important. Whether translating content to reach global audiences, adapting product manuals for user safety and compliance, or facilitating seamless communication through real-time speech translation in customer support or business meetings, the ability to translate with accuracy, context, and speed is vital.

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Steal These 5 Ideas From Bees for Better AI

Dataiku

This article was written by Mark Palmer, host of Executive Programs for Dataiku. Mark is a data and AI industry analyst for Warburg Pincus and a board member for six AI, data management, and data science companies. Time Magazine named him A Tech Pioneer Who Will Change Your Life. Mark is a LinkedIn Top Voice in Data Analytics.

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A Guide to Integrating ChatGPT with Google Sheets

KDnuggets

This guide provides a detailed, step-by-step explanation of how to connect ChatGPT with Google Sheets, along with practical examples and advanced features to make the most of this integration.

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Building TensorFlow Pipelines with Vertex AI

Analytics Vidhya

How can you ensure your machine learning models get the high-quality data they need to thrive? In todays machine learning landscape, handling data well is as important as building strong models. Feeding high-quality, well-structured data into your models can significantly impact performance and training speed. The TensorFlow Dataset API simplifies this process by offering set […] The post Building TensorFlow Pipelines with Vertex AI appeared first on Analytics Vidhya.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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AI and the Structure of Scientific Revolutions

O'Reilly on Data

Thomas Wolfs blog post The Einstein AI Model is a must-read. He contrasts his thinking about what we need from AI with another must-read, Dario Amodeis Machines of Loving Grace. 1 Wolfs argument is that our most advanced language models arent creating anything new; theyre just combining old ideas, old phrases, old words according to probabilistic models.

Risk 150
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Abu Dhabi pioneers AI-Driven governance with Microsoft and G42 partnership

CIO Business Intelligence

In a landmark move, the Abu Dhabi Government, Microsoft, and Core42 was made in the presence ofH.H. Sheikh Tahnoon bin Zayed Al Nahyan, Deputy Ruler of Abu Dhabi and Chairman of theArtificial Intelligence and Advanced Technology Council, and Khaldoon Al Mubarak, Chairman of theExecutive Affairs Authorityand member of the Artificial Intelligence and Advanced Technology Council will create a unified, high-performance sovereign cloud computing environment capable of processing over 11 million daily

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Measuring and Monitoring the Performance of Agentic Applications

Dataiku

As IT leaders integrate LLM-powered agentic applications into their enterprise stack, performance measurement becomes critical. Unlike traditional applications, these systems can take on open-ended questions and generate novel responses, making quality assessment more complex than conventional software performance monitoring.

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Trae: Adaptive AI Code Editor

KDnuggets

In this article, we will explore Trae, a powerful adaptive AI code editor, its key features, setup process, and tips for maximizing productivity.

IT 90
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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?