How to use AI in Finance and spend more time with your loved ones?
I just posted this on LinkedIn.

And whilst I don’t know if it will be a popular post or not, is one of my favourites to write.
That’s because I truly think that by teaching how to use tools like Python or ChatGPT to other finance professionals, I am enabling them with the knowledge to save time spend at work and trade it for something else.
It can be their favourite hobbies.
Spend time with their loved ones.
Or even more “career” things like learning even more skills or develop relationships through business partnering.
I am doing a webinar later this week for this: https://lu.ma/n88k9odm
And we are also recording the session.
But let me give you a preview.

AI in Finance: Trading Time for Value
The integration of Artificial Intelligence (AI) in finance has been a game-changer, especially for Financial Planning and Analysis (FP&A) teams.
The old days of long hours at the office, poring over spreadsheets and reports, are being replaced with efficient systems powered by AI, allowing for a better work-life balance.
FP&A professionals are finding that AI is not just a tool for efficiency but a catalyst for a lifestyle change where work serves life.
This is particularly evident in three key areas:

Simplifying Complexity
AI tools are making it possible to demystify complex financial concepts for those without a finance background.
Automated, AI-powered reporting is enhancing the clarity and speed of financial reporting, while compliance with standards like US GAAP and IFRS is streamlined through AI applications.
AI’s ability to understand and apply policies within GPTs (Generative Pre-trained Transformers) further simplifies regulatory complexities.
I have wrote many articles on how you can create your own GPT without any coding background.

Generating New Knowledge
AI’s predictive capabilities are revolutionizing financial forecasting, providing deeper insights than ever before.
Techniques like clustering allow FP&A teams to identify patterns and correlations in financial data, while data science methods unlock new ways to analyze financial trends and outcomes.
Saving Time
Automation is the most evident benefit of AI in finance. Time-consuming tasks like consolidation, merging files, and mapping are now being automated, allowing finance professionals to focus on more strategic tasks.
Embracing an AI-Powered Lifestyle
Learning to utilize tools like ChatGPT, Azure, or Python isn’t just about adopting new technologies; it’s about embracing a shift in how work is approached.
It’s a commitment to a lifestyle where spending time with family or engaging in hobbies becomes a priority.
This is another thing I crated, a learning path for 2024.






