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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. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 67
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Understanding The Phenomenal Impact of Social Data on B2B Funnels

Smart Data Collective

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. For B2B sales and marketing teams, few metaphors are as powerful as the sales funnel. These are all great reasons to use big data in marketing.

B2B 126
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What Data-Driven Marketers Must Know About Salesforce & CRM

Smart Data Collective

Data-driven marketing has become the norm in almost every industry. Companies have found that big data can significantly improve the ROI of modern marketing campaigns. However, they must use the right technology to get the most out of their big data initiatives. Two of the best are Salesforce Automation System and CRMs.

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The Foundations of a Modern Data-Driven Organisation: Gaining a Clear View of the Customer

Cloudera

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Today, interactions with a brand spans omnichannel touchpoints.

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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

Big data is no longer a luxury for businesses. In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation. This is where big data comes into play.

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Diligent enhances customer governance with automated data-driven insights using Amazon QuickSight

AWS Big Data

With the Diligent Platform, organizations can bring their most critical data into one centralized place. One of the biggest obstacles that customers face is obtaining a holistic view of their data. However, this can be difficult to achieve.

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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. The journey starts with sound data.

Marketing 117