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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Minimizing Supply Chain Disruptions . Over the last 18 months, supply chain issues have dominated our nightly news, social feeds and family conversations at the dinner table. In summary, predicting future supply chain demands using last year’s data, just doesn’t work.

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Top 12 Data Science Case Studies: Across Various Industries

Knowledge Hut

For this purpose, a data enthusiast needs to stay updated with the latest technological advancements in AI. Qantas uses predictive analytics to mitigate losses Healthcare: Novo Nordisk is Driving innovation with NLP. Travel industry and data science Predictive analytics benefits many parameters in the travel industry.

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Covid-19 Accelerates The Need for Retail, Manufacturing Supply Chains To Adapt

Cloudera

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Data and analytics. Brent Biddulph: .

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What is network design in supply chain and why is it essential?

Edureka

One of the most important functions in a business is the supply chain. Any fault in the supply chain can greatly affect the organization’s profitability. It tells us how important the supply chain is, which is why the network design in the supply chain is critical.

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Top Artificial Intelligence Companies to Look Out for in 2022-23

U-Next

Top listed AI companies in India that are engaged in Artificial Intelligence offer a wide range of advanced and unique AI algorithms at a fast speed and provide more reliable solutions at attractive rates. Popular AI Companies You Must Be Aware of in 2022 . It is estimated that the solution has powered 100 million conversations to date.

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On FMCG and Retail Forecasting

DareData

Just like a driver can drive during a really foggy day with minimal lights on or an investor can invest in some asset without understanding the future parameters that will define his return, so can businesses manage their operations, human resources and sales without taking a glimpse into the future.

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Operations Management and AI: How Do They Work?

U-Next

Since the early 2000s, artificial intelligence (AI) has advanced quickly, attracted new attention, and has been given another look in both research and practical applications in past years. Data Analytics for Gaining Insights The operational, strategic, and tactical decision-making processes heavily depend on information.