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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security. This includes trust in the data, the security, the brand and the people behind the AI.

B2C 64
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The most valuable AI use cases for business

IBM Big Data Hub

There’s no need to make customers wait for the answers to frequently asked questions (FAQs) or to take the next step to purchase. And digital customer service agents can boost customer satisfaction by offering advice and guidance to customer service agents.

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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

For example, a retail clothing company might use generative AI to customize email or online experiences tailored for different customer personas. The advanced capabilities of generative AI for text, visuals and video have the potential to create a more personalized and engaging experience.

Marketing 113
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Ease of Use Rules! Trends in the Distributed Scanning Hardware Space

Info Source

This quick video will give you insights into the legs of this trend, as well as thoughts on how this shift could impact scanner design. Retail and mass retail grew during the pandemic and the distributed scanner segment grew based on the fact that these people were purchasing these things maybe through petty cash with budget restraints.

Retail 52
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Data Governance and Business Transformation

Collibra

Collibra organized a Data Governance and Business Transformation seminar in Paris recently, bringing together data managers from the financial, retail, transportation, and logistics industries. Customers are no longer only consumers of data, but they contribute through platforms and social networks as well.

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Master? ?Data? ?Management? ?Trends? ?to? ?Get? ?Ahead? ?With?

Reltio

Slack’s openness to customer feedback to add new features. . MDM’s Role: Incorporating all transactions and interactions, unstructured data from social media, help chats, video, and audio to create a single view of customer overhauls a company’s ability to understand their customers’ needs. . #2 2 Hyper-Personalization.

MDM 98
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How to build a successful hybrid cloud strategy

IBM Big Data Hub

Common SaaS product examples include Zoom (for video conferencing) and Google Drive (for file management). For instance, organizations can capitalize on a hybrid cloud environment to improve customer experience, comply with regulations, optimize costs, enhance data security and more.

Cloud 94