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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

The customer relationship management (CRM) software provider’s Data Cloud, which is a part of the company’s Einstein 1 platform, is targeted at helping enterprises consolidate and align customer data. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

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

CIO

“Le azioni successive per il miglioramento della data quality possono essere sia di processo che applicative e includono la definizione di un modello organizzativo intorno alla data governance , assegnando ruoli e compiti chiari alle varie figure coinvolte (data scientist, data engineering, data owner, data steward, eccetera)”.

ChatGPT 130
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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fleschut says he will also hire more IT personnel this year, especially data scientists, architects, and security and risk professionals.

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Achieving Business Analytics Success

Datavail

Today’s thriving companies are embracing emerging data analytics programs to upgrade their business modeling technology from systems maintenance to value creation. The data indicate high success for enterprises that use data to develop their corporate strategies and then implement them into winning business operations.

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What is Data Engineer: Role Description, Responsibilities, Skills, and Background

Altexsoft

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

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The role of self-service BI for business agility

Capgemini

Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users. It makes the data more accessible and understandable to everyone, especially less-skilled data consumers. The data catalog is foundational.

Agile 52
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Data Science on Steroids: Productionised Machine Learning as a Value Driver for Business

OpenCredo

Who are the people in the organisation best placed to make use of Data in this way, discovering or generating insights to advise the business? Typically, these will be Business Intelligence analysts, Data Scientists, and Machine Learning Engineers. Artificial intelligence produces actions.