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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 content includes product descriptions, images, videos and even interactive experiences.

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Is Machine Learning Changing Our Approach to Asset Management?

Smart Data Collective

Business-to-business (B2B) transactions are becoming faster and more secure thanks to various apps and software. Risk Management. Internet users have been giving away personal information in exchange for the fair use of services, purchases, and other interactions with online businesses.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 5: COVID-19 and Changing Business Landscape in Australia

bridgei2i

But because of COVID-19, digital transformation is helping B2B models trying to replicate successful B2C models. Let’s see it from B2C and B2B perspective. From the customer reach perspective, the B2Bs are also moving from the traditional workshop, road shows, gathering based promotions to digital promotions.

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

AWS Big Data

The following screenshot shows an example of our Issues & Actions dashboard, designed for risk managers and audit managers, showing various issues in need of attention. To learn more, visit Amazon QuickSight. Currently, she is focused on Diligent Highbond’s Data Automation Solutions.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 12: How AI is rapidly transforming the enterprise landscape in the post-COVID world

bridgei2i

So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. Then, if the computer system goes down, then what do we do? SERIES: COVID 19 | Redefining Digital Enterprises.