Remove B2B Remove Data-driven Remove Digital Transformation Remove Predictive Analytics
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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 49
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 10: COVID-19 | Evolving Trends of Digital Transformation

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 10: COVID-19 | Evolving Trends of Digital Transformation. COVID-19 | Evolving Trends of Digital Transformation. My name is Vignesh, and I help companies succeed in their AI-enabled digital transformation. Listening time: 12 minutes.

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How AI Software is Changing the Future of the Automotive Industry

Smart Data Collective

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. AI aids with digital transformation and software-defined vehicles. Big data and AI are twin pillars in the field of software development.

Software 127
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Creating a holistic 360-degree “citizen” view with data and AI

IBM Big Data Hub

Health inequities in the US came into sharp relief during the COVID-19 pandemic: Analyses of federal, state and local healthcare data show that people of color experienced a disproportionate burden of cases and deaths. Learn how you can take advantage of your data so users make faster, better decisions using the right architecture.

B2B 52
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Maturing Your People Analytics: Better Insights, Stronger Teams

Sisense

In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. HR departments around the world are embracing digital transformation to reshape business operations and address their future needs in an ever-evolving work world. Evolve to correlate data across systems.