Trending Articles

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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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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.

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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.

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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 71
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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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Using Claude 3.7 Locally

KDnuggets

Learn how to integrate the Claude 3.7 model into the Msty application and VSCode as the AI assistant you need for your workspace.

Modeling 115
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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?

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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 107
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Enhance governance with metadata enforcement rules in Amazon SageMaker

AWS Big Data

The next generation of SageMaker brings together widely adopted AWS machine learning and analytics capabilities, delivering an integrated experience with unified access to all data. Amazon SageMaker Lakehouse supports unified data access , and Amazon SageMaker Catalog , built on Amazon DataZone, offers catalog and governance features to meet enterprise security needs.

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How to Reach $500K on Upwork

KDnuggets

Check out the story of a Reddit user who has achieved success by following 7 simple rules.

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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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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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AI-Powered Sales Automation: Boost Revenue and Efficiency

Smart Data Collective

Smart businesses are using AI to streamline sales, enhance customer engagement, and drive revenue growth.

Sales 80
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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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Smarten Support Portal Updates – March – 2025!

Smarten

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles Crosstab : Global Variables : Making use of Global variables Datasets & Cubes : Handling multiple JOINs through Step by Step Procedure to create a dataset Schedulers : Working with E-mail Delivery and Publishing Task Predictive Use cases Assisted predictive modelling : R

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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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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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How to Build Multilingual Voice Agent Using OpenAI Agent SDK?

Analytics Vidhya

OpenAIs Agent SDK has taken things up a notch with the release of its Voice Agent feature, enabling you to create intelligent, real-time, speech-driven applications. Whether you’re building a language tutor, a virtual assistant, or a support bot, this new capability brings in a whole new level of interactionnatural, dynamic, and human-like. Lets break it […] The post How to Build Multilingual Voice Agent Using OpenAI Agent SDK?

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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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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.

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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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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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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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Google Gen AI Toolbox: A Python Library for SQL Databases

Analytics Vidhya

Google has introduced the Google Gen AI Toolbox for Databases, an open-source Python library designed to simplify database interaction with GenAI. By converting natural language queries into optimized SQL commands, the toolbox eliminates the complexities of SQL, making data retrieval more intuitive and accessible for both developers and non-technical users.

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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 140
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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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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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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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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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The Human Side of LLM Model Sizes

Analytics Vidhya

The scale of LLM model sizes goes beyond mere technicality; it is an intrinsic property that determines what these AIs can do, how they will behave, and, in the end, how they will be useful to us. Much like how the size of a company or a team influences its capabilities, LLM model sizes create […] The post The Human Side of LLM Model Sizes appeared first on Analytics Vidhya.

Modeling 140
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Webinar: Announcing Actionable, Automated, & Agile Data Quality Scorecards – 2024

DataKitchen

Announcing Actionable, Automated, & Agile Data Quality Scorecards Are you ready to unlock the power of influence to transform your organizations data qualityand become the hero your data deserves? Watch the previously recorded webinar unveiling our latest innovation: Data Quality Scorecards, powered by our AI-driven DataOps Data Quality TestGen software.

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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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Heineken lanza su primer laboratorio global de IA generativa en Singapur

CIO Business Intelligence

Heineken ha anunciado en sociedad su primer laboratorio global de inteligencia artificial (IA) generativa en Singapur. Una iniciativa que nace con la misin de impulsar el valor comercial de la marca y acelerar el viaje de transformacin digital de la cervecera. Con esta maniobra la organizacin busca mejorar a partir de la IA generativa el crecimiento, la productividad y la interaccin con los clientes en las operaciones globales de la empresa.

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The High-Stakes Reality of Leading With AI: Confessions From 500 Global CEOs

Dataiku

In an era where AI is redefining business norms, the stakes for corporate leadership have never been higher. According to The Global AI Confessions Report: CEO Edition, a Harris Poll survey conducted on behalf of Dataiku, CEOs worldwide are grappling with the urgent mandate to turn AI ambition into real business outcomes. Whats at stake? Only corporate survival.

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Where Do We Get Our Data? A Tour of Data Sources (with Examples)

KDnuggets

Check out these data sources that you may not have known about previously.

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Guide to Adaptive RAG Systems with LangGraph

Analytics Vidhya

Large language models answer questions using the knowledge they learned during training. This fixed knowledge base limits them. They can’t give you current or highly specific information. Retrieval-Augmented Generation (RAG) helps by letting LLMs pull in external data, but even RAG needs help with complex questions. Adaptive RAG offers a solution.

Modeling 140
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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?