Thu.Nov 28, 2024

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LangChain vs CrewAI vs AutoGen to Build a Data Analysis Agent

Analytics Vidhya

In today’s data-driven world, organizations rely on data analysts to interpret complex datasets, uncover actionable insights, and drive decision-making. But what if we could enhance the efficiency and scalability of this process using AI? Enter the Data Analysis Agent, to automate analytical tasks, execute code, and adaptively respond to data queries.

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Security-FinOps collaboration can reap hidden cloud benefits: 11 tips

CIO Business Intelligence

For enterprises operating on the cloud, security and cost management are rising concerns. Typically, these issues are addressed in silos, with cyber teams and FinOps teams pursuing their charters and priorities separately — and with little thought given to collaboration opportunities between these teams that could be leveraged for better business results.

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Setting Up and Running GraphRAG with Neo4j

Analytics Vidhya

By combining knowledge graphs with RAG, GraphRAG addresses common challenges of large language models (LLMs), such as hallucinations, while enriching responses with domain-specific context for better quality and precision than traditional RAG methods. Knowledge graphs provide essential contextual data, enabling LLMs to deliver reliable answers and act as trusted agents in complex tasks.

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4 prerequisites for IT leaders to navigate today’s era of disruption

CIO Business Intelligence

For its Generative AI Readiness Report, IT services company Avanade surveyed over 3,000 business and IT executives in 10 countries from companies with at least $500 million in annual revenue. Unsurprisingly, more than 90% of respondents said their organization needs to shift to an AI-first operating model by the end of this year to stay competitive — and time to do so is running out.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Comparison Between LangChain and LlamaIndex

Analytics Vidhya

LangChain and LlamaIndex are robust frameworks tailored for creating applications using large language models. While both excel in their own right, each offers distinct strengths and focuses, making them suitable for different NLP application needs. In this blog we would understand when to use which framework, i.e., comparison between LangChain and LlamaIndex.

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¿La mayor amenaza informática? Ese navegador web aparentemente inofensivo

CIO Business Intelligence

Durante décadas, las empresas han permitido a sus trabajadores utilizar cualquier navegador gratuito que quisieran para acceder a los archivos más confidenciales posibles. Los CIO creían que el software de seguridad del entorno (como las aplicaciones de seguridad de puntos finales o las puertas de enlace web supuestamente seguras) brindaría todas las protecciones necesarias.

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Paso adelante en el desarrollo de los modelos virtuales de las presas de la Confederación Hidrográfica del Guadiana

CIO Business Intelligence

La Secretaría de Estado de Medioambiente ha adjudicado a la UTE conformada por Sener y Medical el lote número seis del contrato para la Implementación de Metodología BIM. En virtud del mismo, la compañía especializada en ingeniería y tecnología estrecha lazos con la consultora especializada en transformación digital para desarrollar los modelos virtuales de las presas de la Confederación Hidrográfica del Guadiana.

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Optimizing LLM for Long Text Inputs and Chat Applications

Analytics Vidhya

Large Language Models (LLMs) have revolutionized characteristic dialect preparing (NLP), fueling applications extending from summarization and interpretation to conversational operators and retrieval-based frameworks. These models, like GPT and BERT, have illustrated extraordinary capabilities in understanding and producing human-like content. Handling long text sequences efficiently is crucial for document summarization, retrieval-augmented question answering, and multi-turn dialogues […]

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La inteligencia artificial trasciende al espacio

CIO Business Intelligence

Investigadores del grupo AIDA procedentes de la Universidad Politécnica de Madrid (UPM) han plantado cara a problemas tradicionales del sector aeroespacial gracias a la innovación tecnológica. Capitaneados por Víctor Rodríguez-Fernández han logrado superar las limitaciones de modelos anteriores gracias a la utilización de la inteligencia artificial (IA).

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5 Unconventional Sources of Data for Your Next Project

KDnuggets

When working on a project, think beyond traditional data sources. Explore unconventional options like social media and user-generated content for fresh insights.

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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?

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Francisco Gonzalo, CIO de Sacyr: “Hemos identificado más de 70 casos de uso de IA generativa” 

CIO Business Intelligence

Liderar la estrategia de TI de Sacyr, un gigante global del negocio de las concesiones y la construcción y el desarrollo de infraestructuras , que opera en más de 20 países y está conformado por toda una amalgama de empresas, no es fácil. Al frente de este desafío está, desde hace casi ocho años, Francisco Gonzalo, CIO de la IBEX 35 y un experimentado ejecutivo que ha pasado por compañías como Acciona y la extinta Sun Microsystems, por mencionar algunas.

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How to Implement Agentic RAG Using LangChain: Part 2

KDnuggets

Learn about enhancing LLMs with real-time information retrieval and intelligent agents.

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Las empresas que no se adapten a la IA generativa podrían poner en jaque su negocio

CIO Business Intelligence

Cuatro de cada diez directivos aproximadamente (44,1%) considera que aquellas organizaciones que no se adapten a la nueva era de la inteligencia artificial (IA) generativa podría poner en jaque su negocio llegando, incluso, a condenarles a desaparecer. Así se desprende del primer Barómetro de IA generativa desde la óptica de la dirección empresarial impulsado por la Asociación para el Progreso de la Dirección (APD), en colaboración con el proveedor cloud Arsys y el Grupo de Investigación en Econ

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How Do You Know When You’re Ready for AI?

Data Virtualization

Reading Time: 8 minutes It’s an interesting question. After doing extensive research on AI readiness, I found myself trying to understand what the experts had to say on the matter. One surprising statistic from the Rand Corporation is that 80% of artificial intelligence (AI). The post How Do You Know When You’re Ready for AI? appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Orange acuerda con OpenAI el acceso a sus modelos de IA antes de su lanzamiento

CIO Business Intelligence

La inteligencia artificial (IA) ha ganado un protagonismo incontestable desde la irrupción de ChatGPT a manos de OpenAI. Desde entonces se podría decir que no solo ha copado titulares y arrasado en los debates de la industria, sino que, además, se ha situado en el centro de un sinfín de decisiones empresariales. La IA ha obligado a multitud de compañías de reestructurar sus inversiones y virar la dirección del negocio ante la promesa de un futuro más eficiente, productivo, competitivo e innovado

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Uber branches out into AI data labeling

CIO Business Intelligence

Uber no longer offers just rides and deliveries: It’s created a new division hiring out gig workers to help enterprises with some of their AI model development work. Scaled Solutions grew out of the company’s own needs for data annotation, testing, and localization, and is now ready to offer those services to enterprises in retail, automotive and autonomous vehicles, social media, consumer apps, generative AI, manufacturing, and customer support.