44: Using AI for Data-Driven Decision Making with Avi Perez

In this episode, Chris Daigle welcomes Avi Perez, co-founder and CTO of Pyramid Analytics, to explore how generative AI is revolutionizing the business intelligence (BI) space. Avi breaks down Pyramid’s unique approach to data privacy and business intelligence, explaining how generative AI allows business leaders to make smarter, data-driven decisions without sacrificing data security. From enhancing decision-making with natural language queries to understanding the power of AI in visualizing and predicting trends, Avi shares how Pyramid is helping businesses of all sizes leverage generative BI for competitive advantage.
 
🔎 Find Out More About Avi Perez and Pyramid Analytics:
https://pyramidanalytics.com
https://www.linkedin.com/in/avi-perez-cto/

🛠 AI Tools and Resources Mentioned in This Episode:
Pyramid Analytics ➡ https://pyramidanalytics.com
 
Chapters:
 
00:00 - Introduction to Avi Perez and Pyramid Analytics
02:14 - What is Generative BI?
06:57 - Defining Business Intelligence for New Users
12:45 - Machine Learning’s Role in Business Insights
18:20 - Data Privacy and AI Security in BI
23:06 - Pyramid’s Unique Data Approach and Architecture
30:12 - Adapting BI for Small to Mid-Size Businesses
35:45 - Key Benefits of Generative BI in Business
42:19 - Preparing Your Data for AI and BI Use
49:36 - Future of Generative AI in Business Intelligence

🔸 Be sure to download this week's Smartcut: https://smartcuts.io/44
And check out the related prompts at: https://PromptVault.studio

OWNR OPS Podcast
Starting a business by offering a service to your local community is one of the...

Listen on: Apple Podcasts   Spotify

Sponsored by Chief AI Officer. Empowering businesses with AI education and training. Visit chiefaiofficer.com for a free AI readiness assessment & AI strategy guide to help you get started using AI at work.

Please Like & Subscribe!

https://twitter.com/usingaiatwork
https://www.linkedin.com/company/chiefaiofficer/
🌐 https://usingaiatwork.com