In this episode of Future Finance Show, hosts Paul Barnhurst and Glenn Hopper dive deep into the revolutionary impact of generative AI on industries, with a particular focus on its implications in finance. They explore how AI transforms workflows, enhances productivity, and shifts the focus from tasks to higher-level thinking. The conversation breaks down common misconceptions about AI, such as the overhyped role of “prompt engineering,” and emphasizes how businesses can integrate AI while maintaining data privacy and security.

Conor Grennan, the guest of this episode, is the Chief AI Architect at NYU Stern School of Business and the founder of AI Mindset, a company helping leaders adopt AI effectively. Beyond AI, Conor is a New York Times best-selling author, recognized globally for his humanitarian work. His expertise lies not only in AI implementation but also in helping non-technical individuals understand and utilize AI's potential.

In this episode, you will discover:

• The reality behind generative AI myths and why prompt engineering is overrated.
• How AI transforms jobs by automating tasks, not replacing roles.
• Ways finance professionals can balance AI efficiency with data privacy concerns.
• Why adopting an AI mindset is crucial for leveraging its full potential.
• How embracing AI in your work can give you a competitive edge in your career.

For finance professionals interested in harnessing the power of generative AI while balancing efficiency and security, this episode offers practical insights and frameworks. Conor Grennan’s unique blend of technical knowledge and relatable, human-centered teaching makes this a must-listen for anyone looking to stay ahead in the AI revolution.

Follow Conor:

LinkedIn: https://www.linkedin.com/in/conorgrennan/

Website: conorgrennan.com

Join hosts Glenn and Paul as they unravel the complexities of AI in finance:

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

Follow QFlow.AI:

Website - https://qflow.ai/future-finance

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.

In Today’s Episode:

[01:59] - Concerns about data privacy in AI

[08:32] - Introduction of Conor Grennan

[10:10] - Conor's background and AI journey

[12:40] - The role of a chief AI architect

[16:42] - The truth about prompt engineering

[20:54] - The AI mindset and learning curve

[27:55] - AI’s impact on jobs

[35:23] - Conor's AI course and framework

[37:29] - Conor’s book: Little Princess

[42:47] - Conclusion and final thoughts

In this episode of the Future Finance Show, hosts Paul Barnhurst and Glenn Hopper explore the transformative impact of artificial intelligence (AI) on financial planning and analysis (FP&A). The discussion revolves around how AI tools, from generative AI to sophisticated models like OpenAI's Project Strawberry, are reshaping the finance landscape. The episode features Gabriela Gutierrez, a finance professional turned AI enthusiast, who shares her journey of integrating AI into finance.

Gabriela Gutierrez is a dynamic finance leader and entrepreneur with a strong background in AI, Python programming, and machine learning. She has worked in various financial roles, including FP&A at eBay and as a local CFO for Teads in Germany. Gabriela’s passion for innovation led her to launch a stealth startup focused on AI-powered finance solutions. She shares her insights into the evolving role of finance professionals in the AI era and her experiences in building an AI-centric company.

In this episode, you will discover:

• The potential of AI to automate and enhance FP&A processes.
• Insights into OpenAI's Project Strawberry and its implications for the finance industry.
• The skills finance professionals need to thrive in an AI-driven world.
• How Gabriela Gutierrez transitioned from traditional finance roles to becoming an AI-driven entrepreneur.
• Predictions on the future of finance jobs in the context of advancing AI technologies.

It's clear that the intersection of AI and finance offers both exciting opportunities and unique challenges. This episode provides a wealth of knowledge for finance professionals to embrace AI as a tool for innovation, efficiency, and strategic growth.

Follow Gabriela:

LinkedIn: https://www.linkedin.com/in/gabriela-gutierrez-15ba0571/

Join hosts Glenn and Paul as they unravel the complexities of AI in finance:

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

Follow QFlow.AI:

Website - https://qflow.ai/future-finance

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.

In Today’s Episode:

[00:59] - Introduction to the episode

[01:43] - Key takeaways from Carl Seidman’s FP&A insights

[07:02] - Exploring OpenAI’s project Strawberry

[11:58] - Gabriela Gutierrez background and career journey

[16:39] - Overcoming challenges in AI integration

[19:51] - Insights on Gabriela’s Stealth Startup

[26:29] - Fun segment: get to know Gabriela

[30:31] - Conclusion and episode wrap-up

This week’s show notes are written by Microsoft CoPilot.

What does the future of accounting and finance look like? How can you leverage technology, especially generative AI, to take your career to the next level? Join Paul Barnhurst and Glenn Hopper as they explore these questions and more with Tom Hood, a renowned leader and innovator in the accounting profession.

Tom Hood is the EVP of Business Engagement and Growth at the Association of International Certified Professional Accountants. He has been a pioneer in integrating technology into finance for over 24 years, and he shares his insights and advice on how you can do the same.

In this episode, you will discover:

• How technology is reshaping the accounting and finance industry and what it means for you.
• How to start using generative AI today to automate tasks, generate insights, and create value.
• How to overcome the fear of failure and embrace risk-taking as a way to learn and grow.
• How generative AI will become more sophisticated and powerful in the near future and what you need to prepare for it.
• How to communicate effectively with your stakeholders and clients in the age of AI.

Don't miss this opportunity to learn from one of the most influential voices in the accounting profession. Listen to this episode and find out how you can harness the power of technology and generative AI to transform your career and the future of finance.

Follow Tom:

LinkedIn: https://www.linkedin.com/in/tomhood/

Company: https://blionline.org/

Blog: http://blionline.org/blog

AICPA & CIMA: http://www.cgma.org/

Join hosts Glenn and Paul as they unravel the complexities of AI in finance:

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

Follow QFlow.AI:

Website - https://qflow.ai/future-finance

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.

In Today’s Episode:

[01:38] - Latest AI developments and their impact on the finance industry

[11:40] - Introduction to the episode and guest Tom Hood

[12:58] - The intersection of technology and accounting

[17:03] - Practical benefits and risks of generative AI in finance

[21:03] - The future of generative AI in finance

[30:28] - Advice for aspiring accountants

[32:50] - Fun segment: get to know Tom Hood

[36:55] - Conclusion and final thoughts

In this episode of the Future Finance Show, hosts Paul Barnhurst and Glenn Hopper sit down with Christian Martinez, a finance transformation expert and AI enthusiast, to explore the intersection of finance, artificial intelligence, and data analytics. The discussion covers the growing importance of AI and Python in finance, the benefits of leveraging dashboards for financial storytelling, and how professionals can enhance their skill sets to stay ahead in a rapidly evolving industry. Christian shares his journey, the practical applications of AI in FP&A, and offers insights into how Python, integrated with Excel, is revolutionizing finance functions.

Christian Martinez is a Finance Transformation Senior Manager at Kraft Heinz, with extensive experience across Europe, Australia, and South America. Known for his expertise in combining finance, Python, AI, and machine learning, Christian is passionate about teaching others how to harness these tools to improve financial analysis and decision-making. He recently launched a newsletter, "AI for FP&A and Finance," where he shares practical AI applications tailored for finance professionals.

In this episode, you will learn:

• The critical role of AI and Python in transforming financial planning and analysis (FP&A).
• How to leverage dashboards like Tableau and Power BI for effective financial storytelling.
• The evolving landscape of AI tools in finance and the growing need for data literacy.
• Practical tips on integrating Python with Excel to enhance financial operations.
• The importance of continuous learning and staying updated with the latest technology trends in finance.

Follow Christian:

LinkedIn:https://www.linkedin.com/in/christianmartinezthefinancialfox/

Website: https://linktr.ee/Thefinancialfox

Blog: https://christianmartinezfinancialfox.medium.com/

Join hosts Glenn and Paul as they unravel the complexities of AI in finance:

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

Follow QFlow.AI:

Website - https://qflow.ai/future-finance

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

In Today’s Episode:

[01:51] - Introduction and context setting for discussing the impact of AI on finance

[08:01] - Introduction to Christian Martinez, highlighting his unique expertise in finance, Python, and AI.

[09:12] - Christian’s newsletter and practical AI tools for finance professionals

[15:39] - The Power of dashboards in financial analysis

[25:05] - A discussion on the value of coding skills in finance

[29:38] - Python in Excel: A game changer

[37:51] - Getting personal: Christian’s hidden talents

[41:52] - Final remarks from Christian and closing thoughts

Future Finance: Unlocking the Power of AI for Finance Professionals With Jon Brewton

TLDR: Jon Brewton, the founder and CEO of Data2, talks about how his company uses AI and machine learning to help clients in make better decisions and avoid errors.

Each week we ask AI to generate our show notes and optimize them to get you interested in the story. This week we used Microsoft CoPilot to write the shownotes.

This episode of Future Finance features Jon Brewton, the founder and CEO of Data2, a company that provides AI and machine learning solutions for finance and other industries. He discusses how his company helps clients use AI to analyze data and make better decisions, as well as the challenges and risks of using AI in high-stakes contexts.

Jon Brewton is an expert in AI and machine learning, with a rich background in operations management, digital transformation, and engineering. He has worked at major energy companies like BP and Chevron, and he is a US Air Force veteran and a graduate of some of the top universities in the world. He shares his insights and best practices on how to leverage AI and machine learning to enhance financial performance and outcomes, and how to avoid common pitfalls and errors that can arise from AI applications.

In this episode, you will learn:

· What Data2 does and what its goals and principles are in AI and machine learning.

· Why traceability and explainability are crucial for AI applications in high-stakes industries like finance.

· How Knowledge Graph technology can enhance financial data analysis and provide more context and meaning.

· What AI hallucinations are and how they can affect financial decision-making.

· How to integrate advanced analytics and AI into your finance workflows and processes.

This episode is a must-listen for anyone who wants to learn how AI and machine learning can help them make smarter decisions. Listen to the episode now and discover how you can use these technologies to your advantage.

Follow Jon:

LinkedIn: https://www.linkedin.com/in/jon-brewton-datasquared/

Website: https://www.data2.ai/

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

Follow QFlow.AI:

Website - https://qflow.ai/future-finance

[01:50] Introduction to the episode

[02:29] Opening remarks by Paul Barnhurst.

[04:54] Why your job is safe for now

[13:50] Introducing Jon Brewton and his extensive background.

[14:51] Welcoming Jon Brewton to the show

[15:31] Jon shares the story and mission of Data 2.

[18:47] Discussing the critical features for financial institutions.

[25:11] Exploring advanced applications and their benefits including generative AI and knowledge graphs.

[34:24] Addressing AI hallucinations and how Data Squared tackles this issue to ensure reliable outcomes.

[41:41] Advice for finance departments on adopting AI technologies.

[46:28] Jon shares his most rewarding job and a cause he's passionate...

TLDR: Jim O'Neill, co-founder of SaaSWorks, discusses the critical role of AI in modern finance, emphasizing the importance of clean data, the convergence of AI with other technologies, and the need for businesses to adapt to an AI-driven landscape.

These show notes were written by Claude.AI Sonnet LLM Model.

Dive into the Future of Finance with AI Pioneer Jim O'Neill

Are you ready to revolutionize your business with AI? Join us as we explore the cutting edge of financial technology with Jim O'Neill, co-founder of SaaSWorks and former HubSpot executive. In this eye-opening episode, Jim unveils the secrets to harnessing AI's power in finance and beyond.

Key Insights:

1. The make-or-break factor for AI success: pristine data
2. AI's game-changing fusion with quantum computing, nanotech, and gene editing
3. Why your company needs an AI budget – now
4. Navigating the ethical minefield of AI advancement
5. Cultivating an AI-driven culture of innovation

Don't miss Jim's invaluable wisdom on preparing your business for the AI revolution. Learn how to stay ahead in a rapidly evolving technological landscape and transform your financial operations.

Follow Jim:

LinkedIn: https://www.linkedin.com/in/jim-oneill/

Website: https://www.saasworks.com/

Join hosts Glenn and Paul as they unravel the complexities of AI in finance.

Follow them on LinkedIn:

Glenn: https://www.linkedin.com/in/gbhopperiii

Paul: https://www.linkedin.com/in/thefpandaguy

Sponsored by QFlow.ai – Revolutionizing B2B revenue planning and analysis. Learn more at Qflow.ai/future-finance.

In honor of having the show notes written by AI we have added the below sonnet as Claude.AI, Sonnet model wrote the notes.

Sonnet:

In finance's realm, where numbers reign supreme, A new force rises, born of silicon, Artificial minds, a waking dream, O'Neill speaks of change that's just begun.

Clean data's key, the lifeblood of AI, As quantum leaps with nano-innovations dance, In gene-spliced futures, new worlds we'll spy, While ethics guard our technological advance.

Businesses must adapt or fade away, Embracing risk and AI's transformative might, O'Neill's wisdom lights the coming day, Where human and machine in harmony unite.

So heed this call, let Future Finance guide, To prosperous tides on which we'll proudly ride.

In today's episode:

[00:52] - Episode Overview and Sponsorship

[01:38] - Monologue

[07:31] - Your Job is Safe

[08:56] - Importance of clean data for effective AI implementation

[09:58] - Guest Introduction

[15:30] - Founding SaaSWorks and its mission

[18:11] - Common issues with spreadsheets and data management

[21:09] - Discussion on generative AI in business operations

[25:55] - Using AI for innovative and unexpected solutions

[29:11] - Recommendations for companies adopting AI

[32:07] - Discussion on AI adoption and Excel parallels

[32:37] - Random AI-Generated get to know you questions

[36:08] - Conclusion

This week on Future Finance before getting to our guest interview HAL 9000l makes a guest appearance and Glenn has a fun discussion about romantic relationships and AI that you will not want to miss.

Welcome to the exciting world of Future Finance! Today's episode dives into the exploration of the dynamic intersection of AI and finance. Ben Dooley, the global head of Productized Solutions at Infospace, joins Paul Barnhurst and Glenn Hopper for a thought-provoking discussion on responsible AI, strategic innovation, and the future of financial automation.

Here are the key takeaways to whet your appetite for the full episode:

• Ben emphasizes the importance of a responsible AI framework that includes human-centric design, fairness, explainability, security, reliability, and compliance to ensure ethical and effective AI implementation.

• Tailoring AI to meet human needs without mimicking human intelligence is crucial for making AI tools that enhance human capabilities and ensure user trust.

• The need for AI to be explainable is highlighted, with Ben suggesting models should cite their sources and provide logic for their decisions to build trust and understanding among users.

• Privacy concerns around AI usage are discussed, emphasizing the necessity for better regulatory frameworks to control who has access to data and how it is used.

• The discussion on how AI can play a strategic role in finance by improving forecasting, automating processes, and driving strategic transformation within organizations.

• The discussion touches on the current capabilities of AI in automating traditional finance tasks and the potential future where true autonomous agents could revolutionize the industry.

With over a decade of experience in managing complex projects, driving corporate change, and leading entrepreneurial ventures, Ben is an expert in AI and change management. This insightful episode with Ben Dooley underscores the importance of responsible AI and its transformative potential in finance.

Follow Ben:

LinkedIn: https://www.linkedin.com/in/bendooley/

Website: https://www.infocepts.ai/

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

Follow QFlow.AI:

Website - https://qflow.ai/future-finance

Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

Learn more at Qflow.ai/future-finance.

In today's episode:

[01:16] - Episode Overview and Sponsorship

[03:00] - Responsible AI Framework Introduction

[04:40] - Reliability and Compliance in AI

[06:21] - Current AI Capabilities and Risks

[11:47] - Guest Introduction

[12:14] - AI in Traditional Finance Tasks

[17:52] - Fairness and Bias in...

Welcome to a special episode of our podcast! Today, we're thrilled to bring you an exciting Podswap. We are sharing an episode from Financial Modeler’s Corner. Stay tuned for an engaging conversation you won't want to miss.

Here are the show notes from our previous episodes.

Welcome to the Financial Modeler's Corner (FMC), where we discuss the Art and Science of Financial Modeling with your host Paul Barnhurst.

Financial Modeler's Corner is sponsored by the Financial Modeling Institute (FMI), the most respected accreditation in Financial Modeling globally.

In today’s episode, Paul engages in a conversation with Cameron and Nicholas Hay to discuss dynamic arrays in financial modeling. Cameron and Nicholas share their experiences and insights on using dynamic arrays to build fully dynamic models, avoiding common pitfalls, and the benefits of this approach.

Cameron and Nicholas are seasoned financial modeling experts and co-founders of Finomatic Consulting. Their practical advice and innovative tips have helped countless professionals enhance their modeling skills.

Key takeaways from this week's episode include:

• Use dynamic arrays to reduce the number of formulas and potential error points. Clearly separate inputs, calculations, and outputs into distinct sheets. This enhances clarity and ease of use.

• Ensure uniform column and row structures across sheets. This consistency minimizes errors and simplifies formula management, making models easier to audit and understand.

• Mixing traditional Excel formulas with dynamic arrays reduces the benefits. A complete commitment ensures better performance and error reduction.

• Using graphs and charts helps quickly identify trends and anomalies, making it easier to ensure realistic assumptions and accurate models.

• Establishes a solid foundation, ensuring you learn best practices early on, which prevents the development of bad habits and enhances overall modeling skills.

• Implementing dynamic arrays can drastically reduce the file size and complexity of models, making them more efficient and manageable.

• Issues like mixed calculations and unrealistic assumptions emphasize the importance of thorough checks and realistic inputs in financial modeling.

Download a sample fully dynamic 3-statement model Excel Files — The FP&A Guy (thefpandaguy.com), courtesy of Cameron and Nicolas Hay.

Quotes:

Here are a few relevant quotes from the episode on financial analysis and modeling:

"A blank Excel workbook doesn't have any errors in it until you add data and formulas. Minimizing the number of formulas should reduce the error potential of the file.”

“With business, if you can understand how cash flows around a business, that's you can get in and really understand a business.”

“If you're going to dip your toe into dynamic arrays, you've got to make sure you commit fully with 100% commitment.”

Follow Cameron and Nicholas:

Cameron Hay LinkedIn - https://www.linkedin.com/in/cameron-hay-ca-a31b4752/

Nicholas Hay LinkedIn- https://www.linkedin.com/in/nicholas-hay-1992/

Website -