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PepsiCo transforms for the digital era

CIO

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

Analytics 362
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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? Lo stabilisce anche l’AI Act europeo ”.

ChatGPT 130
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Saying “Goodbye” to Google Optimize & “Hello” to Better Experimentation

Perficient

They are of great value and easily usable by data scientists and analytics experts. Each of those leaders now faces important questions about how to get set up for success and make the most of their investment to reap measurable KPI improvements. The problem is (most) marketers are not data scientists.

KPI 64
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Fraud Detection with Cloudera Stream Processing Part 1

Cloudera

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. They also define KPIs to measure and track the performance of the entire data infrastructure and its separate components.

Data 87
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Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Altexsoft

In this article, we’ll explain what procurement analytics is, highlight the main difficulties within the purchasing process, and look at how analytics can address them. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

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Improving Efficiency with Manufacturing Software Development Services

Mobilunity

These services comprise building business intelligence and performance management solutions that provide manufacturers with robust data analytics and reporting tools for KPI monitoring and trend identification. User training and documentation are also necessary at this point. BI and performance management.