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Embracing the Future: Fractional Executives and Generative AI

Tullio Siragusa

Generative AI refers to algorithms that can learn from data and generate original content, be it text, code, or strategic plans. Here are specific examples of how these technologies can be applied: Strategic Planning and Decision Making AI algorithms can analyze vast amounts of data to identify trends, opportunities, and threats.

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Factors That Influence the Adoption of Power BI Dashboards

Acuvate

The growing importance and relevance of leveraging data and business intelligence cannot be overstated in today’s highly digitized business landscape. But successfully cultivating a data culture is not merely about implementing the technology. The business intelligence (BI) market size is projected to reach $39.35 billion by 2027.

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Everything you need to know about innovation management software

hackerearth

Although enterprise collaboration software market has been around for over 20 years, innovation management software is a specialized segment that helps companies guide and support their innovation process. What is innovation management software (IMS)? Why do companies need innovation management software?

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Innovation management software: Everything you need to know

hackerearth

Although the enterprise collaboration software market has been around for over 20 years, innovation management software is a specialized segment that helps companies guide and support their innovation process. What is innovation management software (IMS)? Why do companies need innovation management software? O'Sullivan, 2003).

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Are you missing the Forest for the Trees?

Focused Momentum

Data is front and center in today’s management team meetings. With so much focus on managing performance, are teams at risk of missing important success indicators missing from their data? With so much focus on managing performance, are teams at risk of missing important success indicators missing from their data?

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Responsible Artificial Intelligence

Norbert Bol

The rapid growth of AI today is possible due to the increased computing power, the availability of big data and the ongoing learning of AI itself as it never sleeps. Viewing AI-systems from a risk management perspective. From a risk management perspective, this needs oversight.

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Amir Atarodian

Innovation 360 Group

Amir Atarodian is currently PhD scholar in Management science at University of Naples, Federico II and University of Naples, Parthenope in Naples, Italy. His major professional specializations are innovation management, Business development, Business strategic planning (Strategy development and implementation) and Open business models.