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AI & Business Analytics: A Smart Guide

Sunflower Lab

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

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

Datavail

Cloud computing has gone from being a cutting-edge technology to a well-established best practice for businesses of all sizes and industries. An off-the-shelf product straight from the vendor can fit your business requirements. Beneath the umbrella of “the cloud,” however, there are several cloud services.

Cloud 97
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How to Choose a Data Science and AI Consulting Company

Altexsoft

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. So, before planning to use data science or AI for your business, find out whether it’s the technology you need. Business analytics: business intelligence and statistical analytics.

Company 63
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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues.

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Redefining Manufacturing RPA: Navigate Challenges, Embrace Innovations, and Explore High-Impact Use Cases

Trigent

The requirement of each manufacturing business is different based on industry & target customers, but many of their back-end processes are similar. Companies encountered technological and operational constraints when using standard off-the-shelf RPA solutions that need customization. from 2023 to 2030.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.