3 business problems data analytics can help solve
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Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.
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Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.
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No. 1: Taking responsibility for analytics and artificial intelligence.
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New research identifies four types of business-to-business platforms and three ways they can think about success.
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Generative artificial intelligence raises novel legal questions about data use and how content will be regulated. A law partner offers guidance.
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Here’s how SAIC put a specific plan in place to hire, train, and promote Gen Z data professionals.
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The industrial metaverse enables more resilient supply chains and localized manufacturing through the use of existing tools such as digital twins.
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How can you make ChatGPT your agent? MIT Sloan expert Rama Ramakrishnan answers your questions in this new presentation.
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Focus on business outcomes combined with a strategy for building enterprise digital acumen, according to Johnson & Johnson’s CIO.
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As artificial intelligence takes off, all companies should be thinking about value creation, value capture, and value delivery.
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Artificial intelligence can monitor and improve production and quality control on factory floors. The key is focusing on data, not complex AI systems.