Life of a Generative AI Leader
1️⃣ Starting off with data: their top concerns start with safeguarding data and IP — ignoring which can not just lead to regulatory issues, but also harm brand reputation.
2️⃣ The struggle between theoretical promise and practical applications of GenAI is real
To the point that they find it difficult to identify use-cases and build clear roadmap.
3️⃣ Talking about lack of clarity of use-cases, businesses risk missed opportunities
4️⃣ Even if the right initiatives are picked (a job done well), but implementation is weak?
Could lead to subpar results or, at worst, new security threats.
5️⃣ Skill gap is a real issue, and when addressed on-point, can become a true leverage. Leaders must foster a culture of continuous learning.
6️⃣ Lastly, leaders’ are looking to optimize computational resources to ensure the viability and scalablity of GenAI initiatives.
What would you add to the list?
Share in the comments.
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