Fri.Oct 25, 2024

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The mainframe’s future in the age of AI

CIO Business Intelligence

If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes.

Strategy 133
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10 Essential Python Libraries for Data Science in 2024

KDnuggets

The richness of Python’s ecosystem has one downside: it makes it difficult to decide which libraries are the best for your needs. This article is an attempt to amend this by suggesting ten (and some more, as a bonus) libraries that are an absolute must in data science.

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España, factoría de talento digital de la Unión Europea

CIO Business Intelligence

El talento digital en España continúa en boga. Así se desprende del estudio Empleabilidad y Telento Digital impulsado de manera conjunta por la Fundación de la Universidad Autónoma de Madrid (FUAM) y la Fundación VASS en el marco de su V aniversario. El estudio, que ha contado con la perspectiva de 83 expertos provenientes de 67 compañías e instituciones de referencia, 27 universidades españolas, 96 docentes y 952 estudiantes de ingenierías de TI, radiografía el estado del empleo técnico en Espa

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Building Interactive Data Science Applications with Python

KDnuggets

Using Python to build engaging and interactive applications where users can pass in an input, get and feedback and make use of multimedia elements such as images, videos, and audio.

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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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Inteligencia artificial para agilizar la relación con el ciudadano, la apuesta del 48% de las AAPP

CIO Business Intelligence

Las administraciones públicas ya están aprovechando las ventajas que ofrece la inteligencia artificial (IA). De hecho, dos de cada cuatro organizaciones están centrando o van a centrar sus esfuerzos en mejorar la gestión de los riegos y la ciberseguridad , trabajando en el avance de herramientas y soluciones de terceros que adopten en sus funcionalidades IA.

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Achieve the best price-performance in Amazon Redshift with elastic histograms for selectivity estimation

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their busine

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Analyze Amazon EMR on Amazon EC2 cluster usage with Amazon Athena and Amazon QuickSight

AWS Big Data

Gaining granular visibility into application-level costs on Amazon EMR on Amazon Elastic Compute Cloud (Amazon EC2) clusters presents an opportunity for customers looking for ways to further optimize resource utilization and implement fair cost allocation and chargeback models. By breaking down the usage of individual applications running in your EMR cluster, you can unlock several benefits: Informed workload management – Application-level cost insights empower organizations to prioritize and sc

Metrics 80
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Guidelines not policies: The University of Texas at San Antonio’s approach to gen AI

CIO Business Intelligence

From an academic integrity perspective, the dawn of ChatGPT led many to worry that students would misuse AI to cheat. There was also concern that an overreliance on AI tools could undermine critical thinking and problem-solving skills. In response, some institutions have adopted a conservative approach to AI, imposing limits on use and favoring a ‘wait and see’ approach.