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Practical Skills for The AI Product Manager

O'Reilly on Data

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. Consumer Companies Versus B2B Companies. B2B firms solve highly complex problems for a very narrow set of consumers.

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Is Machine Learning Changing Our Approach to Asset Management?

Smart Data Collective

Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. Why Machine Learning? Business-to-business (B2B) transactions are becoming faster and more secure thanks to various apps and software. Data Analysis.

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5 Ways to Use Digital Signage for Data-Centric B2B Companies

Smart Data Collective

However, data analytics technology can be just as useful with regards to creating a successful B2B business. One of the benefits of data analytics in B2B marketing is with using digital signage. For B2B companies, digital signage may not be the first thing that comes to mind when developing a marketing strategy.

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Redefining customer experience: How AI is revolutionizing Mastercard

CIO Business Intelligence

Our B2B customer service teams receive approximately 700,000 support cases annually through multiple channels, and as new customers and additional Mastercard services and products come online, we expect support case volume to reach 1 million by 2025. When a customer needs help, how fast can our team get it to the right person?

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ATD banks on B2B digital transformation

CIO Business Intelligence

But B2B companies have not been entirely immune to the shift toward digital services, with many of late launching transformations of their own centered around revamping old ways of conducting business in a new world. In many cases, they were forced to move because of disruptions in their sales teams and/or supply chain.”. “In

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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.  The applications of AI in commerce are vast and varied. . 

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The Insights Beat: Save Your Data Strategy From A Nosedive

Srividya Sridharan

This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. (Jeremy Vale and Paolo Santamaria contributed to this post.) Is Your Data Strategy Lacking?