Tue.Mar 25, 2025

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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.

Testing 174
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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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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 121
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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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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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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 116

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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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Ray: Your Gateway to Scalable AI and Machine Learning Applications

Analytics Vidhya

Ray has emerged as a powerful framework for distributed computing in AI and ML workloads, enabling researchers and practitioners to scale their applications from laptops to clusters with minimal code changes. This guide provides an in-depth exploration of Ray’s architecture, capabilities, and applications in modern machine learning workflows, complete with a practical project implementation.

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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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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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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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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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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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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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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!

98
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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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La Rioja moderniza su infraestructura TI y apuesta por la eficiencia en la gestión de datos

CIO Business Intelligence

El Gobierno de La Rioja se embarca en un nuevo viaje de transformacin digital de la mano de la compaa especializada en inteligencia artificial (IA) y datos Nuxia. El Ejecutivo regional da as un paso al frente para modernizar su infraestructura tecnolgica, mejorar la eficiencia operativa y garantizar un acceso ms gil y seguro a los datos pblicos. En concreto, el Gobierno de La Rioja se enfrentaba a desafos clave como la migracin de sistemas heredados a la nube sin interrumpir servicios crticos, g

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Processing a Directory of CSVs Too Big for Memory with Dask

KDnuggets

Learn how to process the big data in the CSV format.

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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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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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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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GPT 4o, Gemini 2.5 Pro, or Grok 3: Which is the Best Image Generation Model?

Analytics Vidhya

So far we have seen LLMs be all about text generation, but looks like things are changing. In the last 15 days, we have seen Google launch its best ever model – Gemini 2.5 Pro with strong image generation capabilities, x.ai releasing image editing features in Grok 3. Open AI has just dropped its best […] The post GPT 4o, Gemini 2.5 Pro, or Grok 3: Which is the Best Image Generation Model?

Modeling 187
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AI in the Enterprise: 5 key findings of AI usage and threat trends

CIO Business Intelligence

Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud. Enterprises are increasingly adopting AI tools to enhance productivity, automate workflows, and accelerate decision-making.

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OpenAI’s 4o Image Generation is SUPER COOL

Analytics Vidhya

A few days ago, Gemini rolled out its image generation feature in the 2.0 Flash version, and the internet erupted with stunning examples. Now, OpenAI is stepping up to the plate, raising the bar even higher by introducing native image generation (powered by GPT-4o) in ChatGPT. Sam Altman introduced the new feature with enthusiasm, describing […] The post OpenAI’s 4o Image Generation is SUPER COOL appeared first on Analytics Vidhya.

Analytics 140
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¿Erosionará la IA las reservas de talento de TI?

CIO Business Intelligence

La inteligencia artificial (IA) generativa est transformando funciones en toda la empresa, incluso en TI , donde su uso ha demostrado el poder de la tecnologa. Tomemos, por ejemplo, cmo la IA generativa est acelerando la prestacin de servicios y mejorando la precisin de los servicios proporcionados por el servicio de asistencia de TI al examinar el historial de los registros de llamadas y luego proporcionar una respuesta perfectamente contextualizada basada en lo que ha funcionado en el pasado,

Software 110
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Enterprise ABM Marketing Tools: A Marketers Guide

Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.

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We Tried the Google 2.5 Pro Experimental Model and It’s Mind-Blowing!

Analytics Vidhya

Google DeepMind has recently unveiled its latest advancement in artificial intelligence: the Gemini 2.5 Pro (experimental) model. Within just a few hours of release, this new model has taken the AI world by storm, ranking #1 on the LMArena Leaderboard! Built upon its predecessors, this new model promises enhanced capabilities and features designed to cater […] The post We Tried the Google 2.5 Pro Experimental Model and Its Mind-Blowing!

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차근차근 성장할(또는 육성할) 기회 사라진다?··· AI가 IT 인력 파이프라인에 미칠 영향

CIO Business Intelligence

AI . IT . , AI IT . ( ) CIO AI . AI AI . , . AI . AI , AI ? . AI . . , AI , . , 6 AI . AI . AI . . AI . AI . AI . 2025 .

IT 103
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Cache-Augmented Generation (CAG): Is It Better Than RAG?

Analytics Vidhya

Retrieval-Augmented Generation (RAG) has transformed AI by dynamically retrieving external knowledge, but it comes with limitations such as latency and dependency on external sources. To overcome these challenges, Cache-Augmented Generation (CAG) has emerged as a powerful alternative. CAG implementation focuses on caching relevant information, enabling faster, more efficient responses while enhancing scalability, accuracy, and reliability. […] The post Cache-Augmented Generation (CAG): Is

IT 125
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Blindar la conectividad para garantizar la intercomunicación en situaciones de emergencia

CIO Business Intelligence

El proyecto TrialsNet nace al abrigo de Europa con la misin de llevar a trmino pruebas a gran escala con usuarios reales y en sectores especficos (verticales), con el objetivo de mejorar la calidad de vida de las personas mediante la implementacin de aplicaciones basadas en tecnologa 5G. El despliegue de dichos casos de uso reales se desarrolla en diferentes esferas como el mbito de la infraestructura, la salud digital, las emergencias o la cultura, el turismo y el entretenimiento.

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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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어디까지 업무 확장될까?··· 현직 보안 전문가들이 말하는 ‘오늘날 CISO의 역할’

CIO Business Intelligence

(Sumo Logic) CISO , . . IT , . RISC(, , ) . CISO IT , . . 2015 2024 19 , . ESG(environmental, social, and governance) . CISO ESG , CISO . . DB(MongoDB) CISO , IANS . CISO 20 , CISO . . (Appfire) CISO CISO .

IT 95
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The AI implementation challenge: Are businesses ready?

CIO Business Intelligence

AI will transform industries more than the internet and the cloud. However, the potential for such a dramatic shift in innovation and productivity raises a critical question: are businesses ready to manage the technological changes and organizational complexities that AI has the potential to introduce? The Cisco AI Readiness Index measures how prepared global companies are to deploy AI solutions.

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칼럼 | 구글, 위즈 인수로 멀티클라우드 보안에 승부수 던지다

CIO Business Intelligence

. (MS) AWS . , . , . . , , . - . . , . , , . . (silo) . . . AWS MS , . AWS , . MS , . . . , . (AI) .

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AI 파일럿 88%가 실용화에 실패··· 이면의 역학은?

CIO Business Intelligence

(PoC) CIO AI . AI . . . . IDC , POC 88% . IDC AI PoC 33 4 . IDC Al PoC , , IT . Al , . ROI , Al , Al . AI . AI , . AI PoC & . AI PoC , CEO . . . , . [PoC] . PoC . .

ROI 90
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4 AI Hacks to Make Sales Teams More Efficient

Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. The reason for its rise? AI increases teams’ productivity by predicting and automating actions that require manual effort. In other words, the research that takes reps hours, AI can do in seconds. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data.