Fri.Sep 27, 2024

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7 Steps to Build an AI Agent with No Code

Analytics Vidhya

Introduction “AI agents will become the primary way we interact with computers in the future. They will be able to understand our needs and preferences, and proactively help us with tasks and decision making.” – Satya Nadella, CEO of Microsoft AI agents are everywhere and rightfully so! These agents operate with a higher level of […] The post 7 Steps to Build an AI Agent with No Code appeared first on Analytics Vidhya.

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IT leaders weigh up AI’s role to improve data management

CIO Business Intelligence

AI has become a sort of corporate mantra, and machine learning (ML) and gen AI have become additions to the bigger conversation. The role of CIO, especially, has had to adapt accordingly, as demonstrated by Euronics, the Amsterdam-based international electrical retail association. Here, the work of digital director Umberto Tesoro started from the need to better use digital data to create a heightened customer experience and increased sales.

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How to Pick the Right LLM for Your Business?

Analytics Vidhya

Introduction With the growing number of LLMs like GPT-4o, LLaMA, and Claude, along with many more emerging rapidly, businesses’ key question is how to choose the best one for their needs. This guide will provide a straightforward framework for selecting the most suitable LLM for your business requirements. It will cover crucial factors like cost, […] The post How to Pick the Right LLM for Your Business?

Analytics 262
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10 ways to ace the IT executive interview

CIO Business Intelligence

You’ve worked hard advancing your career and are ready to make the shift to leadership. You’ve landed an interview for an IT executive position at a company you like. Like every step that got you to this moment, how you perform is vital for achieving the results you want. What kind of research should you do to ace this interview? What should you wear?

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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5 Days Roadmap to Learn RAG

Analytics Vidhya

RAG is an abbreviation of Retrieval Augmented Generation. Let’s breakdown this term to get a clear overview of what RAG is: R -> Retrieval A -> Augmented G -> Generation So basically, the LLM that we use today is not up to the date. If I ask a question to a LLM let’s say ChatGPT, […] The post 5 Days Roadmap to Learn RAG appeared first on Analytics Vidhya.

Analytics 267
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Seguridad, experiencia digital y productividad en el CIO Summit 2024: cómo ve la industria TIC la explosión de la IA

CIO Business Intelligence

Cuando todo el mundo está hablando sobre la inteligencia artificial (IA) y resaltando las maravillas (no siempre realistas) que ésta promete, la voz de los expertos debe escucharse por sobre el ruido. Entre todo el barullo, son los CIO y líderes tecnológicos de las organizaciones que efectivamente están llevando a cabo proyectos tangibles de IA los que conocen, de primera fuente, sus verdaderos beneficios y sus peligros.

IoT 115

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Los códigos de barras 2D y la RFID reinventan el comercio minorista

CIO Business Intelligence

En los últimos años, el panorama minorista ha experimentado cambios masivos para adoptar sistemas de autofacturación. Pero grandes retailers como Walmart, Target y Dollar General están empezando a eliminar progresivamente los sistemas de autofacturación en algunos establecimientos porque han contribuido a aumentar los índices de hurtos y pérdidas de inventario.

IoT 114
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5 LLM Tools I Can’t Live Without

KDnuggets

Large language models (LLMs) have transformed, and continue to transform, the AI and machine learning landscape, offering powerful tools to improve workflows and boost productivity for a wide array of domains. I work with LLMs a lot, and have tried out all sorts of tools that help take advantage of the models and their potential.

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Las empresas del sector de servicios financieros se vuelcan con la IA

CIO Business Intelligence

La inteligencia artificial (IA) está ganando terreno entre las empresas españolas, según reza un nuevo estudio de la consultora Strand Partners e impulsado por Amazon Web Services (AWS). Ya en febrero de 2024, la fase 1 de este informe destacaba que la creciente adopción de la IA y otras tecnologías digitales podría impulsar significativamente la economía española , desbloqueando 282.000 millones de euros para 2030.

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Has Europe Gone Too Far? The Delicate Dance of Regulation and Innovation

KDnuggets

While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.

Risk 112
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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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Avangrid partners with state fusion cell to fight cyber threats via data sharing

CIO Business Intelligence

Avangrid’s award-winning cybersecurity initiative uses real-time data sharing to protect the energy grid. Avangrid, a sustainable energy company based in Orange, CT, supplies gas and electricity to millions of people. However, as a provider of critical infrastructure, Avangrid must also prioritize cybersecurity. Cyberattacks on the energy grid can lead to power outages, data manipulation, and threats to public safety and the US economy.

Reporting 110
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Amazon EMR Serverless observability, Part 1: Monitor Amazon EMR Serverless workers in near real time using Amazon CloudWatch

AWS Big Data

Amazon EMR Serverless allows you to run open source big data frameworks such as Apache Spark and Apache Hive without managing clusters and servers. With EMR Serverless, you can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. We have launched job worker metrics in Amazon CloudWatch for EMR Serverless.

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The Global Impact of Cloudera in Our Daily Lives

Cloudera

Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?

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Get an Additional 30% off Courses – Offer Ends in 3 Days!

KDnuggets

One of the major platforms that the majority of us scope when we are looking to take up a new course is the popular learning platform Coursera. From free courses to paid certification and online degrees, Coursera is a well-known learning platform for many people around the world, regardless of their background. If you’re.

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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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How To Improve the Performance of a RAG Model

KDnuggets

Introduction Retrieval-augmented generation (RAG) models, more commonly known as RAG systems, are gaining significant attention in the AI industry. The concept behind the models is simple: instead of training a model on massive amounts of data, we allow the model to retrieve information from a separate dataset as they need it. How could.