Why do we collect community content?

In the rapidly evolving landscape of enterprise AI, each organization's journey is unique, facing distinct challenges and achieving different milestones. The real-world experiences and insights you share enable us to develop, validate, and refine a comprehensive framework for AI in the enterprise.

Community contributions, ranging from general observations to detailed case studies, help educate fellow practitioners on the multifaceted aspects of AI adoption. Through a collective exploration of enterprise AI, we can establish a robust set of best practices, address common challenges (regulatory compliance, IP protection, etc.), and highlight successful strategies for driving value from AI projects.

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Who can contribute?

We seek contributions from a diverse array of voices within the enterprise AI ecosystem, including:

• AI Practitioners or Consultants involved in enterprise AI projects
• Business Leaders and Executives driving AI initiatives
• IT and Data Science professionals developing or managing AI solutions
• Legal and Compliance officers navigating AI's ethical, privacy, and regulatory aspects
• Anyone with insights into optimizing business processes through AI

How do I send my contribution?

Contributions can be submitted through the following channels:

Make Suggestion Button: Found on our platform, this allows for direct submissions of ideas or content. Please include your contact information for follow-up questions.

Email [address]: You can send your contributions via email. Please use "Enterprise AI Content Contribution" as the subject line and include all relevant details.

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‍What can I contribute?

Case Studies and Use Cases: Share detailed accounts of AI projects within your organization, focusing on the challenge, solution, and business impact. Highlight any unique enterprise AI strategies or frameworks you've applied.

Insight Articles: Write about specific aspects of enterprise AI, such as overcoming adoption barriers, ensuring AI reliability and compliance, or measuring the impact of AI on organizational efficiency.

Practical Guides and Frameworks: Contribute guides or frameworks that aid in the planning, execution, and measurement of enterprise AI projects. Focus on topics like value proposition development, project approval processes, and efficiency optimization.

Community Discussions and Q&A Contributions: Engage in discussions or answer questions related to enterprise AI challenges, best practices, and emerging technologies.

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What to Avoid:

• Sales or marketing content aimed at promoting products or services.
• Restricted access content or resources behind paywalls.
• Personally Identifiable Information (PII) or sensitive company data.

How will your contribution be used?

Contributions will be published on the Enterprise AI Today website providing valuable insights and practical advice on leveraging AI within the enterprise. Selected contributions will be attributed to the authors and potentially shared in our social marketing