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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

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Data Summit 2023 Event Recap

Datavail

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

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The Multifaceted Value Proposition of the Cloudera Data Platform

Cloudera

This category describes the unique ability of CDP to accelerate deployment of use cases (and, as a result, the associated business value) by: . Supporting multiple data formats and types to enable enrichment of data assets for different use cases and finally. data lineage and discovery). . query failures, cost overruns).

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Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

However, in the rush to do this, many of these systems have been poorly architected to address the total analytics pipeline. A Big Data Analytics pipeline– from ingestion of data to embedding analytics consists of three steps Data Engineering : The first step is flexible data on-boarding that accelerates time to value.

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The Ethics of AI Comes Down to Conscious Decisions

Cloudera

“When developing ethical AI systems, the most important part is intent and diligence in evaluating models on an ongoing basis,” said Santiago Giraldo Anduaga, director of product marketing, data engineering and ML at Cloudera. Witness the widespread use of surveillance by governments against their citizens. . “At

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Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Enhanced data security and governance.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Delivering ML models into the business with the right production ML tooling — including deployment, monitoring, and governance — is often the bigger challenge.