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The Evolution of the Data Warehouse in the Big Data Era

Dell EMC

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

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PaaS, IaaS, and SaaS: Making the Right Choice for Your Oracle Cloud Migration

Datavail

The term XaaS (“anything as a service”) is shorthand for the proliferation of cloud services in recent years—everything from databases and artificial intelligence to unified communications and disaster recovery is now available from your choice of cloud provider.

Cloud 97
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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.

Analytics 215
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Arena raises money from Peter Thiel and David Petraeus for its decision-making AI

TechCrunch

xCash flows freely where it concerns enterprise analytics — the global big data and business analytics segment could be worth nearly $700 billion by 2030, depending on which analyst you place your faith in. Unsupervised, Pecan.ai

Analytics 207
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The Ethics of AI Comes Down to Conscious Decisions

Cloudera

An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. If y ou have good intentions, you can make it very good.

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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?

ChatGPT 130
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Where to Learn Deep Learning – Courses, Tutorials, Software

CTOvision

Theano + Pylearn2 , which has the advantage of using Python (widely used), and the disadvantage of using Python (slow for big data). is a well-known expert in Business Analytics, Data Mining, and Data Science. Gregory Piatetsky-Shapiro, Ph.D.,

Course 103