Getting Started with AI:
What you need to know as you begin.
The Presence of AI:
How AI is becoming a part of our daily lives and why it matters for businesses.
F33 Workshops:
A brief overview of F33’s approach to help businesses integrate AI.
Idea Evaluation:
Determining which AI initiatives hold the most potential for your business.
Business Impact:
Understanding the significance of each AI initiative from a business standpoint.
Efficiency Improvements:
Demonstrating how AI can bolster company growth with existing resources.
Highlighting scenarios where resource increases are outpaced by company growth.
Monetary Translation:
Concrete examples: The value of saving an hour per day for an employee.
Calculating the financial impact: How saving 40 work hours equates to a $500 monthly savings.
Human Resources:
Assessing the number of personnel required for successful implementation.
Evaluating the need for human interaction with the AI model.
Determining if dedicated teams are necessary for ongoing AI model maintenance.
Solution Management:
Distinguishing between autonomous AI solutions and those that require human oversight.
Process Optimization:
Understanding the crucial processes for AI solution rollout.
Recognizing if the business process targeted for optimization is already in place and functional.
Steps to enhance existing processes to fully benefit from AI models.
Data Handling:
The significance of data collection in AI success.
Strategies for consistent and efficient AI model maintenance.
Budget Assessment:
Mapping out the financial requirements for a successful AI integration.
Identifying hidden costs and potential financial pitfalls in AI implementation.
Timeline Estimation:
Projecting the duration for different phases of AI rollout.
Understanding how implementation duration can impact overall costs.
Cost-Benefit Analysis:
Weighing the initial investment against long-term ROI.
Analyzing potential savings and efficiency improvements against setup costs.
Time for questions and answears.
