One of the most critical aspects in managing the opportunities and threats associated with Artificial Intelligence is the establishment of a dedicated governance team and a group that is continuously updated on developments in the AI field.
This approach can be integrated into the strategies as follows: Short-Term: Immediately establishing a specialized AI governance team. This team would be responsible for overseeing AI projects from an ethical, legal, and efficiency standpoint, ensuring that short-term AI initiatives align with broader company goals and regulations. You should be focused on the AI use cases identification, the Cybersecurity Enhancement and Ethical AI Frameworks arrangement.
Medium-Term: The governance team would play a key role in the medium-term strategy, focusing on monitoring ongoing AI projects for compliance, effectiveness, and alignment with evolving ethical standards. They would also be tasked with keeping the company abreast of new AI technologies and market trends.
For the medium term, an AI Literacy and Culture: Cultivating a company culture that understands and embraces AI, through education and awareness programs for employees at all levels.
Long-Term: In the long-term, this team would be instrumental in shaping the company's strategic direction regarding AI. They would be responsible for long-term scenario planning, anticipating future AI developments and their potential impact on the industry, and ensuring the company is prepared for various future scenarios. I see here the Sustainable AI Development: Focusing on sustainable AI development practices, considering the long-term environmental and societal impacts of AI technologies but also a scalability part for Scenario planning for AI evolution: Engaging in extensive scenario planning to anticipate how AI might evolve and potentially disrupt the industry in the future, preparing for various scenarios with adaptive business models.
How successful have your AI agents been at meeting the goals your organization has set for them?
Highly successful 17%
Moderately successful 67%
Minimally successful
Not successful
N/A — we haven’t deployed AI agents17%
Other (comment below)
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For data lakehouse platform utilization, our use cases vary between 1. respond to smart applications' data enquiries and 2. AI/ML data exploration. The first use case type mandates low latency responses, while the second consumes computational resources for long periods. Should we create two different lakehouse platforms to serve both use case types?
Has your organization deployed AI agents?
Yes86%
No14%
Other (comment below)
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One of the most critical aspects in managing the opportunities and threats associated with Artificial Intelligence is the establishment of a dedicated governance team and a group that is continuously updated on developments in the AI field.
This approach can be integrated into the strategies as follows:
Short-Term: Immediately establishing a specialized AI governance team. This team would be responsible for overseeing AI projects from an ethical, legal, and efficiency standpoint, ensuring that short-term AI initiatives align with broader company goals and regulations.
You should be focused on the AI use cases identification, the Cybersecurity Enhancement and Ethical AI Frameworks arrangement.
Medium-Term: The governance team would play a key role in the medium-term strategy, focusing on monitoring ongoing AI projects for compliance, effectiveness, and alignment with evolving ethical standards. They would also be tasked with keeping the company abreast of new AI technologies and market trends.
For the medium term, an AI Literacy and Culture: Cultivating a company culture that understands and embraces AI, through education and awareness programs for employees at all levels.
Long-Term: In the long-term, this team would be instrumental in shaping the company's strategic direction regarding AI. They would be responsible for long-term scenario planning, anticipating future AI developments and their potential impact on the industry, and ensuring the company is prepared for various future scenarios.
I see here the Sustainable AI Development: Focusing on sustainable AI development practices, considering the long-term environmental and societal impacts of AI technologies but also
a scalability part for Scenario planning for AI evolution: Engaging in extensive scenario planning to anticipate how AI might evolve and potentially disrupt the industry in the future, preparing for various scenarios with adaptive business models.