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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. Experience building strategies like these have been  used by online retailers for years.

B2B 64
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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

In the information, there are companies with big data strategies and those that fall behind. However, the success of a big data strategy relies on its implementation. VentureBeat reports that only 13% of companies are delivering on their big data strategies. Longer buying cycles, more risk, and larger transactions.

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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. With the right generative AI strategy, marketers can mitigate these concerns.

Marketing 113
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Examining Cargill’s push to nurture growth through digital and data strategies

CIO Business Intelligence

Having joined its executive team 18 months ago, CDIO Jennifer Hartsock oversees its global technology portfolio, and digital and data strategies, so she has to keep track of a lot of moving parts, both large and small, to help achieve the company’s big corporate strategy about being ‘better together.’ “It

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The Evolution of Access Management in IAM

CDW Research Hub

IT security strategy as a framework of business procedures, policies, processes and technologies that manage user identities and access. B2B access management. Adaptive MFA builds a risk profile of a user based on a matrix of variables. B2B access management. Reduced risk. Workforce vs. consumer/customer.

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Avoid an asymmetry assumption in customer AI strategy

Mark Raskino

They say that there are potential benefits but also risks. Customers – B2B and B2C – will harness the technology to work on their end of things too. I’m reading many CEO interviews and responses to investor day questions about their views on the matter. It’s early days of course.

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How AI can boost customer satisfaction, retention, and loyalty in the contact center

CIO Business Intelligence

AI First in the Contact Center IBM Consulting and Amazon Web Services (AWS) are working together to bring an AI-first strategy to contact center transformation. To achieve this, Bouygues Telecom needed a unified, integrated, and flexible cloud strategy that supported various AI providers and solutions.

Insurance 105