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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 & BusinessAnalytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?
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 dataengineering. How to get started with data virtualization.
But unlike 2022, when ChatGPT was the only show anyone cared about, we now have many contenders. Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale.
based businesses said they accelerated their AI implementation over the past two years, while 20% said they’d boosted their usage of businessanalytics compared with the global average. Rather, it was the ability to scale the productivity of the people who work with data.
In 2021, we saw that GPT-3 could write stories and even help people write software ; in 2022, ChatGPT showed that you can have conversations with an AI. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages.
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