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3 ways Generative AI is transforming the retail industry

CIO

Generative artificial intelligence (GenAI) tools such as Azure OpenAI have been drawing attention in recent months, and there is widespread consensus that these technologies can significantly transform the retail industry. How can Generative AI speed innovation in retail?

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Physical experience, digital convenience: The future of retail

CIO

The future of retail is “phygital,” as every retail and ecommerce publication on the internet is screaming right now. If you’ve never heard the term before, it’s a portmanteau of “physical” and “digital” – and represents the merging of the two forms of retail and shopping. How do they do that? With data of course.

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Will enterprises soon keep their best gen AI use cases under wraps?

CIO

The retail industry has no shortage of cases on display where generative AI has shown tangible benefits. Suddenly, you can create engaging customer-facing videos at the click of a button,” says Oliver Banks, retail consultant and author of Driving Retail Transformation: How to navigate disruption and change.

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The impact of AI on edge computing

CIO

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Learn more about this here. Retail stores and smart homes can use AI at the edge technology to personalize user experiences. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

TPM and TPO are key disciplines in the CPG space that involve managing and optimizing all promotional activities conducted with retailers, from discounts to deductions and payments. This just wasn’t possible with traditional machine learning. Imagine, for instance, the tennis equipment marketplace.

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Think you can ignore quantum computing? Think again.

CIO

The quantum technologies team at HSBC works with different business lines and functions to explore and test real world use cases including portfolio optimization, quantum machine learning, and financial simulation. ML is a good example of a use case that will require a hybrid arrangement. Troy Hilterbrand, CIO, Partner.co

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Big Data Proves Invaluable to Retail Supply Chain Management

Smart Data Collective

Retailers are struggling to keep up with a growing demand for online purchases. As such, retailers have an even tougher job of keeping on top of supply and demand. Using big data and analytics, retailers can more easily optimize their supply chains. Another vital component of many retail businesses is picking and packing orders.

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