Thu.Sep 12, 2024

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Setup Mage AI with Postgres to Build and Manage Your Data Pipeline

Analytics Vidhya

Introduction Imagine yourself as a data professional tasked with creating an efficient data pipeline to streamline processes and generate real-time information. Sounds challenging, right? That’s where Mage AI comes in to ensure that the lenders operating online gain a competitive edge. Picture this: thus, unlike many other extensions that require deep setup and constant coding, […] The post Setup Mage AI with Postgres to Build and Manage Your Data Pipeline appeared first on Analytics Vidhy

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Salesforce unveils Agentforce to help create autonomous AI bots

CIO Business Intelligence

Salesforce today released Agentforce, a new suite of low-code tools aimed at helping enterprises build autonomous AI agents for sales, service, marketing, and commerce use cases. Agentforce, which has been in pilot phase for the past six months, combines three major Salesforce tools — Agent Builder, Model Builder, and Prompt Builder — to provide the necessary software development infrastructure to create these autonomous agents, according to the company.

Sales 143
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How to Access OpenAI o1?

Analytics Vidhya

Introduction Strawberry is out in the market!!! I hope this will be as fruitful as the recent advancements in artificial intelligence brought by other OpenAI’s latest models. We have been waiting for GPT-5 for so long, and now OpenAI has released its fact-checking and high reasoning model—OpenAI o1, with a code name of Strawberry. This […] The post How to Access OpenAI o1?

Modeling 322
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AI coding assistants wave goodbye to junior developers

CIO Business Intelligence

Despite mixed early returns , the outcome appears evident: Generative AI coding assistants will remake how software development teams are assembled, with QA and junior developer jobs at risk. As AI assistants become better at writing code, CIOs and dev leaders will reshape their teams, focusing on AI specialists and senior developers to oversee AI-generated code, some IT leaders say.

Software 143
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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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o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems

Analytics Vidhya

Have you heard the big news? OpenAI just rolled out preview of a new series of AI models – OpenAI o1 (also known as Project Strawberry/Q*). These models are special because they spend more time “thinking” before they give you an answer. That means they’re better at tackling really tough problems in areas like science, […] The post o1: OpenAI’s New Model That ‘Thinks’ Before Answering Tough Problems appeared first on Analytics Vidhya.

Modeling 296
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Get your data AI-ready

CIO Business Intelligence

For most organizations, the effective use of AI is essential for future viability and, in turn, requires large amounts of accurate and accessible data. Across industries, 78 % of executives rank scaling AI and machine learning (ML) use cases to create business value as their top priority over the next three years. Yet, organizations need help in scaling AI and moving applications from pilot to production.

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Uber abraza la nube con CPU personalizadas

CIO Business Intelligence

Cuando Uber decidió en 2022 dejar de gestionar sus propios centros de datos, la empresa de transporte y reparto quería un alto nivel de control sobre cómo se ejecutaban sus cargas de trabajo en la nube, hasta el nivel de CPU. Uber, que anteriormente albergaba más del 90% de su infraestructura en sus propios centros de datos, recurrió a Oracle y Google en 2023 para que fueran sus proveedores en la nube en un esfuerzo por alejarlo “todo” de su propia infraestructura local.

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Fine-tuning & Inference of Small Language Models like Gemma

Analytics Vidhya

Introduction Imagine you’re building a medical chatbot, and the massive, resource-hungry large language models (LLMs) seem like overkill for your needs. That’s where Small Language Models (SLMs) like Gemma come into play. In this article, we explore how SLMs can be your perfect solution for focused, efficient AI tasks. From understanding what makes Gemma unique […] The post Fine-tuning & Inference of Small Language Models like Gemma appeared first on Analytics Vidhya.

Modeling 143
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Dubai’s AI Security Policy: Paving the way for a digital future

CIO Business Intelligence

Dubai, a global leader in innovation and smart city development, is positioning itself as a pioneer in artificial intelligence implementation. Under the visionary leadership of H.H. Sheikh Mohammed bin Rashid Al Maktoum, the emirate is making rapid strides in digital transformation, with AI playing a pivotal role in these efforts. A core aspect of Dubai’s AI strategy is ensuring the security of AI systems, and the Dubai Electronic Security Center is at the forefront of these efforts.

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What is Graph of Thought in Prompt Engineering?

Analytics Vidhya

Introduction In prompt engineering, “Graph of Thought” refers to a novel approach that uses graph theory to structure and guide AI’s reasoning process. Unlike traditional methods, which often involve linear sequences of prompts, this concept models thought processes as interconnected nodes and edges in a graph, allowing for a more sophisticated and flexible approach to […] The post What is Graph of Thought in Prompt Engineering?

Modeling 143
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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¿Necesita su organización tecnología ‘data fabric’?

CIO Business Intelligence

Los tejidos de datos han ganado importancia en el último año a medida que más organizaciones buscan aprovechar sus datos y propiedad intelectual en soluciones de IA generativa. Los tejidos de datos ayudan a abordar los retos de centralizar los datos en las unidades de negocio y los conjuntos de datos alojados en nubes públicas, centros de datos y soluciones SaaS.

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Claude vs Gemini: A Guide to Choose the Right Model

Analytics Vidhya

Introduction Within the quickly changing field of artificial intelligence, two language models, Claude and Gemini, have become prominent competitors, each providing distinct advantages and skills. Although both models can manage various natural language processing (NLP) tasks, they have notable differences in architecture, methodology, and applications.

Modeling 143
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Un asistente virtual para facilitar el acceso a las ayudas para el tejido empresarial en Extremadura

CIO Business Intelligence

En un esfuerzo conjunto por impulsar la inversión empresarial en Extremadura, el Ejecutivo autonómico e IBM han anunciado la puesta en marcha de un nuevo asistente virtual. Este, basado en la plataforma de datos e inteligencia artificial (IA) generativa IBM watsonx , pretende facilitar y simplificar el acceso a la información sobre ayudas al tejido empresarial en Extremadura.

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How is the Finance Industry Adopting Generative AI?

Analytics Vidhya

Introduction The finance industry is the cornerstone of any country’s development, as it drives economic growth by facilitating efficient transactions and credit availability. The ease with which transactions occur and credit is availed determines the fluidity of markets. It also encourages investments and fosters innovation. Additionally, the increasing demand for financial services makes it critical […] The post How is the Finance Industry Adopting Generative AI?

Finance 143
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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The AI Anywhere Real Estate uses to boost leads and listings

CIO Business Intelligence

Gartner describes AI as a ‘beacon of innovation’ that companies across all industries are leveraging to save money and increase productivity. But this doesn’t mean AI can do everything, cautions Rudy Wolfs, CTO at Anywhere Real Estate. “While no one can deny the potential and promise of AI, we must be aware of the immaturity of this technology today,” he says.

Modeling 115
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10 GitHub Repositories to Master Computer Vision

KDnuggets

The GitHub repository includes up-to-date learning resources, research papers, guides, popular tools, tutorials, projects, and datasets.

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Building and managing an IT team for survival

CIO Business Intelligence

It is often suggested that rapid advances in technology are threatening jobs in the IT sector perhaps more than any other. Among the cited factors are the rapid popularity of AI technologies and the desire to automate many processes. If at all true, there are definite steps that CIOs can take to best protect staff – and themselves – against potential job actions.

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The AWS Glue Data Catalog now supports storage optimization of Apache Iceberg tables

AWS Big Data

The AWS Glue Data Catalog now enhances managed table optimization of Apache Iceberg tables by automatically removing data files that are no longer needed. Along with the Glue Data Catalog’s automated compaction feature, these storage optimizations can help you reduce metadata overhead, control storage costs, and improve query performance. Iceberg creates a new version called a snapshot for every change to the data in the table.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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El MITECO lanza una ‘app’ para visualizar en tiempo real el Índice de Calidad del Aire

CIO Business Intelligence

El Ministerio para la Transición Ecológica y el Reto Demográfico (MITECO), con la colaboración del Ministerio para la Transformación Digital y de la Función Pública, ha puesto a disposición de la ciudadanía una nueva aplicación para dispositivos móviles. Así, la nueva herramienta permite la visualización en tiempo real del Índice Nacional de Calidad del Aire (ICA) que marcan las distintas estaciones de medición de la red nacional de vigilancia.

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How ZS built a clinical knowledge repository for semantic search using Amazon OpenSearch Service and Amazon Neptune

AWS Big Data

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. This platform is an advanced information retrieval system engineered to assist healthcare professionals and researchers in navigating vast repositories of medical documents, medical literature, research articles, clinical guidelines, protocol documents, activity logs, and more.

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From charred scrolls to customer sentiment: How AI helps you monetize your unstructured data

CIO Business Intelligence

Now that AI can unravel the secrets inside a charred, brittle, ancient scroll buried under lava over 2,000 years ago, imagine what it can reveal in your unstructured data–and how that can reshape your work, thoughts, and actions. Unstructured data has been integral to human society for over 50,000 years. More recently, some of the earliest examples are ancient scrolls and tally sticks –notched wood or bones used to record transactions, debts, and ownership.

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Harness Zero Copy data sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics – Part 2

AWS Big Data

In the era of digital transformation and data-driven decision making, organizations must rapidly harness insights from their data to deliver exceptional customer experiences and gain competitive advantage. Salesforce and Amazon have collaborated to help customers unlock value from unified data and accelerate time to insights with bidirectional Zero Copy data sharing between Salesforce Data Cloud and Amazon Redshift.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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3 steps to eliminate shadow AI

CIO Business Intelligence

Imagine a highly competitive market where the urgency to innovate is high. A product manager is under immense pressure to deliver complex customer insights that could pivot the company’s product strategy. Frustrated by the lack of generative AI tools, he discovers a free online tool that analyzes his data and generates the report he needs in a fraction of the usual time.

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5 Quirky Data Science Projects to Impress

KDnuggets

Develop unique yet standing-out data science projects to improve your data portfolio.

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Good data is the bedrock for genAI success: How can organizations process and prepare their data?

CIO Business Intelligence

CIOs are under pressure to drive through AI initiatives that will make their organizations more competitive, effective, and productive. Yet for many, data is as much an impediment as a key resource. At Gartner’s London Data and Analytics Summit earlier this year, Senior Principal Analyst Wilco Van Ginkel predicted that at least 30% of genAI projects would be abandoned after proof of concept through 2025, with poor data quality listed as one of the primary reasons.

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Leveraging Big Data and Analytics to Enhance Patient-Centered Care

Smart Data Collective

Big data technology has significantly changed the healthcare sector over the last few years and will continue to impact it for years to come.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Make extraction pay: How can organizations maximize the value of their data and deliver ROI?

CIO Business Intelligence

While some enterprises are already reporting AI-driven growth, the complexities of data strategy are proving a big stumbling block for many other businesses. Recent research by Vanson Bourne for Iron Mountain found that 93% of organizations are already using genAI in some capacity, while Gartner research suggests that genAI early adopters are experiencing benefits including increases in revenue (15.8%), cost savings (15.2%) and productivity improvements (22.6%), on average.

ROI 110
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Introducing the AI Lakehouse

KDnuggets

In order for Lakehouse to become a unified data layer for both analytics and AI, it needs to be extended with new capabilities

Analytics 104
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Moving through the gears with Mercedes-Benz CIO Katrin Lehmann

CIO Business Intelligence

Jürgen Hill: You’ve now been group CIO for about four months, and lead an IT team made up of around 11,000 employees. How do you assess the situation so far? Katrin Lehmann: We’re looking forward to the future. Since we live in a challenging, but exciting time, this applies both to Mercedes-Benz as a whole and to the entire tech industry. All you have to do is look at the speed at which technologies are changing at the moment, and my department is very well positioned for this.

Sales 109
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Differentiate generative AI applications with your data using AWS analytics and managed databases

AWS Big Data

While the potential of generative artificial intelligence (AI) is increasingly under evaluation , organizations are at different stages in defining their generative AI vision. In many organizations, the focus is on large language models (LLMs), and foundation models (FMs) more broadly. This is just the tip of the iceberg, because what enables you to obtain differential value from generative AI is your data.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.