Remove supplier-risk-assessment-using-data-science
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How our commitment to ethics, trust and transparency is differentiating IBM

IBM Big Data Hub

From our AI Ethics Board and our Trust and Transparency Principles and Pillars, to our data privacy and security efforts, we prioritize ethical and transparent practices. Our work also extends to our data privacy and security efforts. Now, IBM is committing to training 1,000 technology suppliers in technology ethics by 2025.

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The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

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How COVID-19 Has Impacted Consumer Goods Industry

bridgei2i

The impact of COVID-19 on the Consumer Goods industry – both Consumer Packaged Goods and Consumer Technology and Durables, has to be understood in the right cultural milieu, if we wish to assess the situation correctly. The following Gartner diagram shows the Coronavirus in the context of the cultural zeitgeist of current times.

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How to accelerate your data monetization strategy with data products and AI

IBM Big Data Hub

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

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