• Unravel complex models, identifying errors you might have missed.
• Simplify messy formulas, turning them into lean, mean, calculation machines.
• Generate instant documentation so you’ll never have to explain your model again.
• Help you implement best practices in your models, as any good financial modeler should.
• Tackle real-world modelling challenges like seasonal variations in working capital, and much more.

Data centres are increasingly vital in our digital economy, serving as the backbone for cloud services, artificial intelligence, and other technology-driven applications. However, developing a data centre is a capital-intensive undertaking that requires sophisticated project finance modelling to ensure bankability. This podcast outlines the critical parameters, financial structures, and considerations required for successfully project-financing a data centre.

This podcast is based on the Financial Modelling Podcast article : How to Project Finance a Data Center

In the season 5 finale of the Financial Modelling Podcast, we explore the potential of generative AI in financial modelling. Our guests, Lance Rubin, Hedieh Kianyfard, Danielle Stein Fairhurst and Adrian Miric, discuss the current use of generative AI in finance, its benefits and limitations, and potential use cases for financial modelling. As we wrap up the season, we thank our sponsor, Model Citizn, for their support and encourage listeners to share their thoughts and experiences with generative AI in finance. Join us for this exciting finale episode and gain valuable insights into the future of financial modelling. Don't forget to subscribe, rate, and review the podcast on your preferred platform!

Here is Lance's article that he co-wrote with ChatGPT: https://www.modelcitizn.com/modelling-blogs/2023/3/23/the-implications-of-not-following-a-modelling-standard

In today's rapidly evolving financial landscape, traditional data sources such as company reports, financial statements, and economic indicators are no longer enough to gain a competitive edge in the market. Alternative data, which refers to non-traditional data sources such as satellite imagery, social media activity, web traffic, and credit card transactions, has become an essential tool for investors and financial analysts to make better investment decisions.

In this podcast, we'll explore the world of alternative data with expert John Farrall. Join us as we delve into the world of alternative data in financial modelling and discover how this new frontier of data is reshaping the way we invest and analyze the markets.

How can real-time data be utilised to update financial models in a complicated enterprise environment? How can we prevent organisations from making decisions based on obsolete projections?

Dhanusha Muthukumarana, CEO of POTENZA and a member of the Forbes Technology Council, joins the Financial Modelling Podcast to discuss how data engineering enables accurate and comprehensive financial models.

Season 5 of the Financial Modelling Podcast is sponsored by Model Citizn, a consulting, advisory, and training organisation specialising in financial modelling.

Brian Egger, Global Head of Financial Modeling at Bloomberg Intelligence at Bloomberg LP, joins the Financial Modelling Podcast to discuss the Bloomberg Interactive Calculator. As a leader at Bloomberg LP, Brian is at the forefront of innovation in financial data curation and visualisation. We speak about how Bloomberg has excelled at data visualisation for financial decision-making.

Learn how to partner with businesses effectively as a financial modeller (or anyone else!). In this episode, live from the Financial Modelling Summit, Andi Lonnen explains the 9 Cs for effective partnering, including:

• Connect and Collaborate
• Communicate Effectively
• Clear Strategic Thinking
• Commercial Acumen
• Change Agent and Challenging the Status Quo
• Curiosity & Creativity

Andi Lonnen is the Founder & CEO of the Finance Training Academy & Finance Business Partner Academy.