AI-First Mindset
First Rule: Stay Curious
Recent AI News:
*OpenAI announced that web browsing has been disabled as an option with ChatGPT until they resolve an issue where potential content that sets behind a paywall can be seen and trained on by ChatGPT. You can use Bard or Perplexity for web browsing while ChatGPT is being updated. https://help.openai.com/en/articles/8077698-how-do-i-use-chatgpt-browse-with-bing-to-search-the-web
*AWS investing $100 million in AI Center providing training to build AI solutions. Read more here
*Supercharge your search with Generative AI. How Google is improving search with AI. https://blog.google/products/search/generative-ai-search/
AI-First Mindset
Remember when we were tasked with Mobile First and Digital First mindsets, now we are tasked with leading with an AI-first mindset.
Leading an organization with an "AI first" mindset means embracing artificial intelligence (AI) as a strategic component and prioritizing integration across various aspects of the business. At the foundation, an AI-first mindset is creating a culture of experimenting and learning. We have to ask ourselves some questions first and start small before jumping into full AI implementation.
Hint: Stay curious, play, and look for areas that are repeatable or task-oriented where an AI-first mindset would be easily applied. Example: Do you really need a person to write meeting notes and summarize the meeting? ←Low-hanging fruit here.
Here are 6 key considerations and questions for you when leading with an AI-first mindset:
Vision and Strategy:
What are the long-term goals of the organization and how can AI enable and enhance them?
How can AI be leveraged to streamline processes, save time and money, and create new opportunities?
What investments in AI technologies, talent, and infrastructure are necessary to achieve the desired outcomes?
How can AI be used to deliver value to customers?
Data Strategy:
What data assets (structured or unstructured) does the organization have, and how can they be utilized with AI?
Are there any gaps or limitations in the existing data? If so, how can they be addressed?
How can data be collected, stored, and managed securely to ensure privacy and compliance?
Talent and Culture:
Do employees have the necessary skills to work with AI technologies? If not, how can they be trained or recruited?
How can a culture of experimentation, learning, and adaptability be fostered to embrace AI initiatives?
What structures and processes need to be in place to facilitate cross-functional collaboration and knowledge sharing around AI?
How can the organization attract and retain top AI talent in a competitive market?
Do we have someone that can be appointed as our AI superuser?
Can we add AI to the agenda for all team/staff meetings to stay updated with the fast pace changes in AI?
Risks or Pitfalls of AI:
Are there potential risks or unintended consequences associated with AI adoption, and how can they be mitigated?
Do we have an AI policy for the organization?
Iterative Learning and Optimization:
How can the organization continuously learn from AI insights and feedback to improve decision-making and processes?
Are there mechanisms in place to monitor and evaluate the performance of AI models and algorithms?
Can AI be used to automate and optimize repetitive tasks, allowing employees to focus on higher-value activities?
Change Management and Adoption:
How can the organization effectively communicate the benefits and purpose of AI initiatives to employees, clients, and stakeholders?
What training and support mechanisms are necessary to facilitate the adoption of AI tools and solutions?
How can potential resistance to change be addressed, and what strategies can be employed to promote a positive AI culture?
Leading with an AI-first mindset requires a combination of strategic thinking and a commitment to fostering a culture of curiosity. It involves leveraging AI as a transformative force to drive efficiency and continuous improvement.
Thank you for the questions. Keep them coming.
Next week we will share tips on prompting.