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Generative AI, ChatGPT and Large Language Models: A 101

Acuvate

The introduction of ChatGPT and other cutting-edge AI-led data analytics and visualization tools has sparked a lot of buzz in the tech world. The secret to these models’ success is Generative AI, which creates text that sounds remarkably human, enabling business users with data analytics outcomes that feels far more natural.

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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

From its inception to the current state, the processes governing the development of new products and services have continuously evolved to incorporate new methodologies and technologies. Traditional Phases and Gates Processes Traditionally, the phases and gates model has been a cornerstone in structuring innovation management.

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Is Your Mindset About Generative AI Limiting Your Professional Growth?

Harvard Business Review

Generative artificial intelligence (GenAI) has garnered immense publicity over the past few months. For young professionals, it’s the source of a unique dilemma: Do you “buy into the hype” of AI and use it as a guidepost for your professional development and ambitions?

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Navigating Generative AI as an Older Worker

Harvard Business Review

Generative AI has revolutionized the professional landscape. economy might be automated, up from 21% before generative AI. A study from the impact of AI on the future of workforces in the European Union and U.S. A study from the impact of AI on the future of workforces in the European Union and U.S.

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Managing the Risks of Generative AI

Harvard Business Review

Generative artificial intelligence (AI) has become widely popular, but its adoption by businesses comes with a degree of ethical risk. Organizations must prioritize the responsible use of generative AI by ensuring it is accurate, safe, honest, empowering, and sustainable.

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Is Your Company’s Data Ready for Generative AI?

Harvard Business Review

While CDOs and data leaders are excited about generative AI, they have much work to do to get ready for it. Despite excitement, companies have yet to see clear value from generative AI and need to do significant work to prepare their data.

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Has Generative AI Peaked?

Harvard Business Review

This calls for a rethink of the incentives and economics surrounding human-generated content. The real bottleneck in generative AI might not be computation capacity or model parameters, but our unique human touch. Yet, we are on the brink of a digital world that is increasingly filled with AI-generated clutter.