Remove Customer Experience Remove Data science Remove Government Remove Manufacturing
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How to build a successful AI strategy

IBM Big Data Hub

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development.

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10 everyday machine learning use cases

IBM Big Data Hub

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

For example, re-packing corporate records can help weave a narrative to promote a brand, enhance corporate social responsibility outreach programs, improve employee loyalty, enhance diversity, equality and inclusion training, and highlight environment, social and governance initiatives. Digital Experience Platforms (DXP).