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ISO 56000 Guidelines on Innovation Management: Updates and the Road Ahead

Innovation 360 Group

Innovation360’s Sten Jacobson split his time at the summit between finalizing documents on innovation management assessments and developing guidelines for idea management. The post ISO 56000 Guidelines on Innovation Management: Updates and the Road Ahead appeared first on Innovation Consultant | Innovation 360 | Home Of Innovation.

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The Marketing Impact of Content Strategy: A Data-Driven Roadmap to Engage Your Audiences

Brunner

Instead of guessing what topics to cover and formats to use, you can develop a well-researched content strategy framework, grounded in data, to determine the right channels, the right formats, and the right target audiences for our content. Analyze the data regularly to understand what works and what needs improvement. She holds a B.A.

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The Role of Data in a successful digital transformation journey

Acuvate

McKinsey Global Institute’s reports suggest that data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable as a result. Yet today, many companies neglect the potential of data and analytics. Start with a Data Strategy.

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13 Principles for Using AI Responsibly

Harvard Business Review

The competitive nature of AI development poses a dilemma for organizations, as prioritizing speed may lead to neglecting ethical guidelines, bias detection, and safety measures. To mitigate these risks, we propose thirteen principles for responsible AI at work.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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Innovating the future by combining humans, technology, and AI

Paul Hobcraft

Humans bring their creativity, critical thinking, and domain expertise to the table, while technology/AI systems contribute computational power, data processing capabilities, and pattern recognition. Humans are responsible for defining goals, setting ethical guidelines, and ensuring the responsible use of technology/AI systems.

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4 MJV Data Science cases

mjvinnovation

Even with the tools and techniques that we have available today, many organizations find it challenging to be guided by the data they have. Today, we brought 4 Data Science cases to inspire and show you the unlimited possibilities it can bring to your company. . Want to learn more about Data Science? The solution. The result.

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