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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. AI in Supply chain and Logistics. Enterprise Artificial Intelligence. Artificial Intelligence Analytics. Hope the article helped.

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Logistics, Data, and AI: Key Learnings from the Pandemic

Dataversity

The post Logistics, Data, and AI: Key Learnings from the Pandemic appeared first on DATAVERSITY. And with this in mind, earlier this year, we commissioned an in-depth report on how the pandemic impacted the freight procurement industry, by speaking with hundreds of shippers with $100 million-plus in annual freight spend.

Logistics 246
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Closing the Logistics Data Gap

Dataversity

While data has been proliferating throughout the supply chain, helping companies drive efficiency and boost revenue, there’s one notable area that’s lagging behind: logistics. The post Closing the Logistics Data Gap appeared first on DATAVERSITY.

Logistics 130
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Powerful Video Summaries, Powered by AI

Timo Elliott

However, analysts say that 30% of digital transformation projects fail to deliver on their expected outcomes due to fragmentation in existing systems. To address this, a digital business platform is needed, which is a solid foundation of technology to enable agile and flexible innovation.

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Advanced Data Analytics for the Smart Retailers

BizAcuity

Their seamless digital transformation included having to change the way they operated their stores. As a result, retailers are eyeing leveraging Artificial Intelligence and Machine Learning for highly accurate predictions and studying market behavior. Not if you do not have a reliable strategy in place.

Retail 147
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Plant Seeds for Future Growth: What to Expect at TIBCO Analytics Forum 2021

TIBCO

Attend TAF 2021 for engaging presentations on successful applications across industries, including energy, manufacturing, healthcare and life sciences, consumer goods, retail, transportation and logistics, and more. Use cases discussed will include digital transformation, business reinvention, customer intimacy, and operational excellence.

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The Data Journey: From Raw Data to Insights

Sisense

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.