Tue.Mar 18, 2025

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Enhancing Multimodal RAG Capabilities Using Docling

Analytics Vidhya

Multimodal Retrieval-Augmented Generation (RAG) is a transformative innovation in AI, enabling systems to process and integrate diverse data types such as text, images, audio, and video. This capability is crucial in addressing the challenge of unstructured enterprise data, which predominantly consists of multimodal formats. By leveraging multimodal inputs, RAG enhances contextual understanding, improves accuracy, and […] The post Enhancing Multimodal RAG Capabilities Using Docling appeare

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Do I Need to Learn MicroPython as a Data Scientist?

KDnuggets

A simple guide that tells you what you need to know about MicroPython and why you should use it as a Data Scientist

IT 111
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AI-Powered Email Marketing: Boost Engagement and Revenue

Smart Data Collective

Transform your email marketing with AI to increase personalization, boost click-through rates, and maximize revenue effortlessly.

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Top 5 Data Visualization Tools for Data Scientists

KDnuggets

Out of many data visualization tools, which five should you use? Three Python libraries, JavaScript, and R library should cover most of your data science needs.

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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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How to Choose the Right Embedding for Your RAG Model

Analytics Vidhya

Imagine a journalist piecing together a storynot just relying on memory but searching archives and verifying facts. Thats how a Retrieval-Augmented Generation (RAG) model works, retrieving real-time knowledge for better accuracy. Just like strong research skills, choosing the best embedding for the RAG model is also crucial for retrieving and ranking relevant information.

Modeling 225
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Getting Started with AutoGluon: Your First Steps in Automated Machine Learning

KDnuggets

Want to build powerful machine learning models in minutes, not weeks? AutoGluon makes it ridiculously easy — no PhD required!

More Trending

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Congratulations, You Are Now an AI Company

O'Reilly on Data

If your company is building any kind of AI product or tool, congratulations! You are now an AI company. Yes, you’re still a retail company. Or a bank. Or a CPG operation. You’re that plus an AI companylet’s call this an AI as Well company (AIAW)granting you a license to tell sales prospects and investors that you’re doing AI.

Software 130
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JobFitAI: Comprehensive Resume Analyzer Project

Analytics Vidhya

In todays competitive job market, making your resume stand out is crucial. JobFitAI is an innovative solution designed to help both job seekers and recruiters by analyzing resumes and offering actionable feedback. Traditional keyword-based filtering methods can overlook crucial nuances in a candidates profile. To overcome these challenges, AI-powered systems can be leveraged to analyze […] The post JobFitAI: Comprehensive Resume Analyzer Project appeared first on Analytics Vidhya.

Marketing 165
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53% of IT leaders see AI replacing headcount — others question that approach

CIO Business Intelligence

Some AI experts have downplayed the technologys potential to replace employees and reduce payrolls, but many IT leaders have a different vision, with more than half saying they expect AI will enable their organizations to cut jobs. Fifty-three percent of IT leaders surveyed for the 2025 AI Priorities Study from CIO.com parent company Foundry say they believe AI capabilities will enable reductions in their organizations workforces.

IT 111
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LLMs.txt Explained: The Web’s New LLM-Ready Content Standard

Analytics Vidhya

Six months ago, LLMs.txt was introduced as a groundbreaking file format designed to make website documentation accessible for large language models (LLMs). Since its release, the standard has steadily gained traction among developers and content creators. Today, as discussions around Model Context Protocols (MCP) intensify, LLMs.txt is in the spotlight as a proven, AI-first documentation […] The post LLMs.txt Explained: The Web’s New LLM-Ready Content Standard appeared first on Analy

Modeling 140
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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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IBM despliega en San Sebastián su ordenador cuántico modular más avanzado

CIO Business Intelligence

IBM contina afianzando su podero en materia de computacin cuntica. El gigante azul estrecha lazos con el Gobierno Vasco en un intento de consolidar la regin como polo tecnolgico global al desplegar en San Sebastin su ordenador cuntico modular ms avanzado hasta la fecha. En concreto, el despliegue se basa en la colaboracin que ambas partes iniciaron en 2023 al abrigo de la iniciativa BasQ.

Software 109
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Mistral 3.1 vs Gemma 3: Which is the Better Model?

Analytics Vidhya

The AI landscape is rapidly evolving, with smaller, lightweight models gaining prominence for their efficiency and scalability. After Google DeepMind launched its 27B model Gemma 3, Mistral AI has now released the Mistral 3.1 lightweight model of 24B parameters. This new, fast, and customizable model is redefining what lightweight models can do. It operates efficiently […] The post Mistral 3.1 vs Gemma 3: Which is the Better Model?

Modeling 125
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Deloitte unveils agentic AI platform

CIO Business Intelligence

At Nvidia GTC 2025 in San Jose today, Deloitte announced Zora AI, a new agentic AI platform that offers a portfolio of AI agents for finance, human capital, supply chain, procurement, sales and marketing, and customer service. The platform draws on Deloittes experience from its technology, risk, tax, and audit businesses, and is integrated with all major enterprise software platforms.

Finance 107
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Implement Amazon EMR HBase Graceful Scaling

AWS Big Data

Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. We can use Amazon EMR with HBase on top of Amazon Simple Storage Service (Amazon S3) for random, strictly consistent real-time access for tables with Apache Kylin. It ingests data through spark jobs and queries the HTables through Apache Kylin cubes. The HBase cluster uses HBase write-ahead logs (WAL) instead of Amazon EMR WAL.

Risk 88
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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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AI 추론 강화 향한 “급선회”··· 엔비디아 에이전트 AI 구축용 라마 모델 공개

CIO Business Intelligence

18 GTC 2025 AI AI . (multistep math), , , (Llama Nemotron) . AI . (Post-training) . . AI 1 . , . , . 1 AI (LLM) . , (chain of thought) . AI . . 1 . AI 2024 1 o3- . QwQ-32B . .

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New Dataiku RAG Capabilities to Expand Your GenAI Powers

Dataiku

RAG chatbots are one of the most highly adopted GenAI use cases in enterprises around the world. However, organizations are discovering that building truly effective GenAI applications requires more than connecting an LLM to a document store. Indeed, critical blockers persist. For example, when you try to add a PDF report with embedded graphs and tables into a traditional RAG pipeline, the LLM can fail to retrieve the information accurately.

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Supercomputación e IA aplicadas a la aviación; Vueling y el BSC exploran nuevos horizontes

CIO Business Intelligence

La aviacin se rinde a la transformacin digital en su afn por explorar nuevos horizontes. Vueling, haciendo gala una vez ms del ADN innovador del que presume , se ala con el Barcelona Supercomputing Center-Centro Nacional de Supercomputacin (BSC-CNS) para impulsar la integracin de soluciones innovadoras basadas en supercomputacin, inteligencia artificial (IA) y computacin cuntica en el sector en el que opera.

IT 102
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5 things that are easier with erwin Data Modeler than SAP PowerDesigner

erwin

As SAP PowerDesigner nears extinction, its time to explore a highly evolved data modeling alternative. And while change is hard, switching to erwin doesnt have to be. So, lets jump right into the top 5 ways erwin Data Modeler will make your job easier than the soon-to-be-unsupported SAP PowerDesigner-osaurus. 1. Streamlined model migration You may be nervous about switching to a new tool, and understandably so.

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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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Security is dead: Long live risk management

CIO Business Intelligence

Traditional security approaches have become unsustainable for technology leaders navigating todays complex threat landscape. Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle. As regulators demand more tangible evidence of security controls and compliance, organizations must fundamentally transform how they approach risk shifting from reactive gatekeeping to proactive enablement.

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PIM Optimizes Multilingual e-Commerce Content Management

Jet Global

Thanks to the internet, businesses are expanding their global presence. e-Commerce reaches beyond borders, opening companies to customers outside their home nations. A US company might venture into Canada or Mexico while a German manufacturer sets sights on the European Union, and so forth across the seven continents. As such, the demand is surging for multilingual tools to help sellers connect with these new customers.

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El 53% de los líderes de TI ven la IA como un sustituto de la plantilla; otros cuestionan ese enfoque

CIO Business Intelligence

Algunos expertos en inteligencia artificial (IA) han restado importancia al potencial de la tecnologa para sustituir a los empleados y reducir las nminas, pero muchos lderes de TI tienen una visin diferente, y ms de la mitad afirma que espera que la IA permita a sus organizaciones recortar puestos de trabajo. El 53% de los lderes de TI encuestados para el 2025 AI Priorities Study de la empresa matriz de CIO.com , Foundry, afirma que cree que las capacidades de la IA permitirn reducir la plantill

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구글 딥마인드, 로봇용 AI 모델 ‘제미나이 로보틱스’ 공개

CIO Business Intelligence

AI . , , . 2.0(Gemini 2.0) AI . (Gemini Robotics), -ER(Gemini Robotics-ER). VLA(vision-language-action) , , . AI AI (Generality), (Interactivity), (Dexterity) . . , , . 2 . , . , , . , . . .

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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.

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Why AI productivity benefits require a PC refresh strategy

CIO Business Intelligence

Productivity is one of the key benefits enterprises expect from AI. IT leaders developing IT strategies commonly cite routine task automation and content simplification as two of their top priorities. Research by Foundry showed that improving employee productivity was the most cited business objective driving AI investments (48%). [1] But as businesses seek to realize these benefits, the technology debate is extending beyond data and algorithms to another crucial piece of the overall puzzle: the

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Nvidia’s ‘hard pivot’ to AI reasoning bolsters Llama models for agentic AI

CIO Business Intelligence

At Nvidia GTC 2025 in San Jose today, Nvidia launched a new family of open reasoning AI models for building agentic AI platforms. The company has post-trained its new Llama Nemotron family of reasoning models to improve multistep math, coding, reasoning, and complex decision-making. The enhancements aim to provide developers and enterprises with a business-ready foundation for creating AI agents that can work independently or as part of connected teams.

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It’s OK to not love AI. But you should care about how it can help your people

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax. In an experiment, generative AI (genAI) outperformed doctors at crafting empathetic patient communications. I recently completed another in which genAI outperformed a journalist at displaying empathy for average Americans. Though Im not surprised by AI-uber-skeptic Ed Zitrons criticism of the business of genAI in a blog titled There Is No AI Revolution , I was taken aback by what he had to say about its value to people in general [emphas

IT 87
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Los líderes de TI están impulsando una nueva era de la computación en la nube

CIO Business Intelligence

En la empresa ficticia Tech Innovations Inc., una empresa de software de tamao medio, la rpida adopcin de la tecnologa cloud se consider en su da un paso transformador hacia la agilidad y la escalabilidad. En un principio, la empresa migr sus aplicaciones a un conocido proveedor de nube pblica, cautivada por las promesas de ahorro de costes y gestin sin esfuerzo.

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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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기업의 AI 노력이 실패하는 11가지 흔한 이유

CIO Business Intelligence

. . AI AI , . AI . , , . , AI , , . . AI . AI AI ? AI . AI . , , . . AI . AI , , . . , AI , . AI . AI AI , , . AI . AI . (Genpact) AI/ML AI . .

ROI 69
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어도비, ‘에이전트 오케스트레이터’ 공개··· AI 에이전트 관리 기능 강화

CIO Business Intelligence

(Adobe Summit) (Agent Orchestrator) 18 . AI . , 10 AI . AEP AI . AI , , . , , , , . , . (Experience Platform Agents) . CDP, , , . 10 AI . : , . : . : . : . : , , . : .

B2B 66
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Nueve métricas clave para el éxito de TI

CIO Business Intelligence

Los lderes de TI se estn ahogando en mtricas , y muchos se encuentran hasta el cuello de indicadores clave de rendimiento (KPI) en un mar aparentemente sin fondo de herramientas de medicin. El resultado es prdida de tiempo, confusin y, en algunos casos, perspectivas contradictorias. Hay varias mtricas importantes que pueden utilizarse para lograr el xito de TI , dice Jonathan Nikols, vicepresidente senior de Ventas Empresariales Globales para Amrica en Verizon.

ROI 66
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칼럼 | 운영 효율성은 ‘혁신’의 동의어가 아니다

CIO Business Intelligence

1996 ? . , , , . . . ? . . . . (Amazon) AI . , (FedEx) UPS . (Tesla) OTA(over-the-air) . , , . , , OTA . . , . , . , . , . , , , . . , . , , . : . , . . , , . , .

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How to Create Sales Email Sequences That Convert

Modern go-to-market teams know it takes more than one email to break through the noise. Multiple touchpoints means more ways to get your pitch right — and, potentially, more ways to be wrong. The good news? Once you know how to write compelling, one-off emails to entice prospective customers, you can easily do the same across a short sequence of emails.