You know that "GPT" stands for...

If you don't you are not alone and my job is to hold your hand and take you from understanding AI from the highest level (helicopter view) to actually realizing the business value using new technologies.

The future awaits those who dare to innovate. Unlock tomorrow's possibilities, today. We trust you to lead the way.

To begin with, here's a simple executive summary of key points and insights that I recently shared at a private event titled, “AI event for CXOs”. I thought the summary would benefit you as we at Data Angles are committed to supporting you in your AI journey and help you deliver value to your business.

?Focus on Business Use Cases and Prioritization

• Start by identifying use cases that align with customer needs and organizational goals.
• Prioritize based on potential value addition and technical feasibility.
• Involve domain experts and machine learning experts to define success criteria.

?Technical Design Considerations

• Use embedding models and vector databases for processing unstructured data like text and images.
• Leverage coding models for generating SQL queries or other database interactions.
• Explore the application of language models (like Generative Pre-trained Transformers - GPTs) in non-text use cases.

?Choosing the Right Tools and Platforms

• Select tools and platforms that align with organizational goals and existing infrastructure.
• Consider factors such as data governance, security, and scalability.
• Invest in tooling and technology to support model deployment, monitoring, and maintenance.

?Measuring Business Value

• Assess the impact of AI solutions on business outcomes, such as improved productivity, enhanced customer experiences, and cost savings.
• Measure success through metrics like accuracy, cost-effectiveness, and user satisfaction.
• Iterate and experiment to continually refine and optimize AI solutions for maximum impact.

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Adaptation and Learning

• Embrace a culture of experimentation and iteration to adapt to changing business needs and technological advancements.
• Stay informed about new developments in AI research and technology.
• Remain agile and humble in the face of uncertainty about future trends and challenges.

?Engagement with Stakeholders

• Educate other stakeholders, including executives and board members, about the potential and limitations of AI technologies.
• Foster collaboration and co-innovation between business units, data scientists, and technology teams.
• Ensure transparency and communication throughout the AI implementation process.

Knowledge shared is knowledge multiplied. Let's spread the wealth of wisdom together. Share and like this post to inspire others on their journey of learning.

Thank you,

Mahendra