AI is going fast, very fast…

Before we go into the weekend, a small question…🥳

Having a clear vision of how AI aligns with organizational strategy is crucial, but it’s no longer sufficient in today’s rapidly evolving landscape 🤔

AI capabilities are advancing at a pace that many organizations struggle to keep up with, even for experts. For instance, a LinkedIn article by the Generative AI Group revealed that over 1.000 new generative AI applications were introduced to the market monthly between January and May 2023 alone 😱
This staggering rate of innovation underscores the need to keep the door open for experimentation. By allowing room for experimentation, organizations can tap into the potential of emerging trends and technologies.

Do you agree❓️

#dama #damabelux #datagovernance #AI #datamanagement #community

“The one governance to rule them all?”💍😎

▶️ Key learning: Data Governance and AI Governance 🤔

On our relaunch event, our audience and panel highlighted a crucial distinction:
Data governance ↔️ AI governance, while intertwined, they are not interchangeable concepts 💡(!)

➡️ Data governance is vital in getting the most out of your AI, covering areas such as risk, compliance, trustworthiness and ethics. However, it focuses primarily on managing the risks associated with data and AI, rather than seizing opportunities.

➡️ Incorporating AI governance into a corporate governance is essential for managing both its innovative, transformative and strategic aspects. This integration ensures that opportunities presented by AI are in line with your business strategy and that their potential transformative impact is not overlooked.

🔄 Karin highlighted the importance of dedicated teams comprising both business and analytics professionals collaborating on AI applications, while Xavier advocated for a centralized approach through an AI office.

🔀Regardless of the organizational model, AI governance should be integrated into corporate governance frameworks to facilitate experimentation and drive strategic transformation.

⏭️ By embracing a holistic approach to AI governance, in which a data/AI council serves as a gate to manage risk, organizations can harness the full potential of AI while mitigating associated risks effectively.

#data #damabelux #dama #datagovernance #ai #aigovernance #network

🎎 Inclusive Ideation 🧙‍♀️

Apple’s iconic 1977 “Think Different” campaign encapsulated the essence of inclusive ideation. It celebrated the unconventional thinkers, the disruptors, and the non-conformists who challenge the status quo and see things differently. In the realm of AI, ideation has transcended the confines of traditional data and analytics teams. Creativity and continuous learning can spring from unexpected corners within an organization.

Informal gatherings can serve as platforms for like-minded individuals interested in AI to come together, share insights, and explore new possibilities. These gatherings, akin to the original data science meetups with beer and chips, foster an environment where unconventional ideas thrive 💡

A more structured approach involves appointing AI use case leads within the organization. These use case leads act as catalysts for change, bridging the gap between visionary business minds and analytical experts. They facilitate the generation of use case proposals, ensuring that experimentation aligns with business objectives and conducting preliminary prioritization of proposals.

🙋🙋‍♀️🙋🏽🙋🏼‍♀️
Having dedicated roles like AI use case leads marks the beginning of an AI governance framework but that’s the subject of our next key learning.

#data #bi #damabelux #AI #dama #datagovernance #governance #roles #thinkdifferent