Remove Big Data Remove Cost-Benefit Remove Optimization Remove Uncertainty
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Big Data: The Technology Behind Retailers Success

Smart Data Collective

Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers. Big data is a not new concept, and it has been around for a while.

Big Data 124
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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. There are a number of huge benefits of using data analytics to identify seasonal trends.

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Ahead of the curve: How generative AI is revolutionizing the content supply chain

IBM Big Data Hub

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

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Is there a “right” cloud strategy for banking?

IBM Big Data Hub

While central banks have a very different mission from commercial banks, what they do have in common is the need to modernize their IT operations to support digital transformation, contain costs, source key skills and mitigate operational and cybersecurity risks.

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Turning the page

Cloudera

Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses they back. So what’s our next big idea? What a day.

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3 reasons why business and data analysts need to work with real-time events

IBM Big Data Hub

Uncertainty is expected and complexity is compounding. ” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence. .” ” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. The AGI would need to handle uncertainty and make decisions with incomplete information.