How can you present AI results for business intelligence?

Absolutely right! Understanding your audience is crucial when presenting AI results for Business Intelligence. Tailoring your message to their needs and preferences ensures effective communication and a successful presentation.

I agree, presentation should be curated for targeted audience to understand our perspectives and ideas better. AI is powerful tool for BI and it should be used wisely.

What i have found helpful given the recent popularity of Generative AI is to begin by identifying your audience's familiarity with AI concepts and specific interests/problems to solve. Executives and business professionals might prefer high level details and impact, while data scientists would prefer architecture and solutioning. Keep tweaking accordingly.

In the era of information overload, presenting AI outcomes in a digestible format is crucial. Visuals bridge the gap between intricate AI computations and actionable business insights. While the extract emphasizes the alignment of visuals with data, I'd stress the importance of understanding your audience's familiarity with AI. Even the most apt visualization can fall flat if it doesn't resonate with its audience. Tailoring your presentation not just to the data, but to the user's AI proficiency level, can make all the difference. Remember, the aim is not to overwhelm but to illuminate and empower decision-makers.

What helped in one of my recent interactions with the client was offering a concise yet comprehensive view of AI methods and solutions. Deep dive on data required, data processing, algorithms in play, etc builds trust and confidence towards expected results.

In today's world and especially with the current economic outlook, ROI matters the most for any business. Emphasize the real world value and low hanging fruits by quantifying the primary KPIs related to the function or domain. For example, market research and case studies can make the value more tangible.

When presenting AI results for business intelligence (BI), it's crucial to tell a compelling story that connects your data, analysis, and value. A well-structured narrative engages your audience's emotions and attention, making it easier for them to understand and accept your results and recommendations. To craft an effective story, ensure you have a clear beginning, middle, and end, a central message or theme, and engaging plot elements and characters. This storytelling approach simplifies and humanizes your AI results, making them more memorable and relatable to your stakeholders.

I propose a complementary perspective, and I hope it might help: when AI results take the form of predictions, i.e. statements or measures with a certain probability distribution, integrating with Business Intelligence tools can be extremely beneficial to create scenarios related to specific decisions. This might help decision makers converting statistical learning into organisational and operational value, balancing risks and opportunities depending on context and strategy. Anyway, this is not a one-fits-all approach, but an additional eventual perspective, imho.

In addition what helps is addressing data privacy and ethics considerations transparently. Explain steps taken to ensure data protection and compliance with regulations such as GDPR. Always encourage questions and interactions during your presentation to get the decision in your favour and achieve business outcomes.