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Personalization, Automation, and the Fate of Retail & CPG

Dataiku

In the ever-shifting world of Retail and Consumer Packaged Goods (CPG), two pivotal strategies are redefining the way companies operate and engage with their customers: Personalization and Automation. These two pillars are indispensable in maintaining competitiveness and ensuring success in the dynamic realm of retail.

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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. Retailers recognize the need to build their strategies around AI, integrating it into many aspects of their operations.

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Inside Walmart’s generative AI journey

CIO Business Intelligence

The multinational retail company positions itself as a “people-led, tech-powered” one, and sitting squarely at that intersection is generative AI, the power of which most leaders believe is fully realized when the strengths of people and technology are combined. Digital Transformation, Generative AI, IT Strategy, Retail Industry

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PODCAST: Making AI Real – Episode 1: AI enabled Revenue Management for CPG powered by BRIDGEi2i Watchtower

bridgei2i

Episode 1: AI enabled Revenue Management for CPG powered by BRIDGEi2i Watchtower. AI enabled Revenue Management for CPG powered by BRIDGEi2i Watchtower. For CPG companies, the landscape keeps evolving very fast, and players need to be agile and flexible to keep themselves one step ahead of the competition. Monica: Hmm.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 9: The Impact of COVID-19 on Consumer Technology & Durables

bridgei2i

I collaborate with multiple stakeholders across many global CPG companies, enabling high impact business transformation strategies and guiding them in their analytics journey. He brings deep experience supporting high tech e-commerce and retail clients in the areas of marketing, pre-sales analytics, and web analytics. Suvodip: Right.

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How IT leaders are driving new revenue

CIO Business Intelligence

Meanwhile, Herlihy and his team are delivering more data-driven capabilities using machine learning and other data science technologies, collaborating with the business units to, for example, create personalized messaging and targeted marketing campaigns aimed at further boosting sales.

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PODCAST: Making AI Real – Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities

bridgei2i

I lead the Intelligent Automation practice focusing on application development and platforms. He has driven some successful projects in financial services, CPG, and enterprise technology. I wanted to understand, you are also leading the Intelligent Automation practice, so how do things work there? How is it on your side, Pavan?