Still experimenting with AI?

Cool. 

While you tinker with prompts and pilot projects, real businesses are stacking wins—and actual revenue.

They’re not chasing shiny tools.
They’re building unfair advantages.
They’re automating what matters and scaling faster than their competition can.

And no, it’s not just Big Tech.

It’s manufacturers. Retailers. Healthcare companies. Real people solving real problems—with AI that works today.

You’ve got two options:
🛑 Stay stuck in “research mode”
✅ Or see how the pros are doing it and steal their playbook

Ajay Malik—former Google exec and CEO of StudioX—joins us to share how real businesses are crushing it right now with AI.

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Topics Covered in This Episode:

1. Role of AI in Business Competition
2. Studio X's AI Platform for Businesses
3. Challenges Businesses Face with AI Adoption
4. Real Applications for Top Line Growth with AI
5. Improving Products with Predictive Features
6. Increasing Bottom Line with Operational Efficiency
7. AI's Role in Automating Repetitive Tasks
8. Enhancing Business Operations through AI
9. AI Steering Committees for Continuous Evaluation
10. Specific Metrics for AI Success in Companies

Timestamps:
00:00 AI Surpasses Turing Test

03:48 AI Milestones and Product Updates

09:54 AI-Driven Revenue Strategies

10:38 AI Enhancing Product Usability

14:36 Automate Repetitive Tasks

17:33 "Unlearning Manual Task Habits"

22:45 Maximize Productivity with AI

26:40 Embracing AI's Rapid Business Shift

27:44 "Identify Business Pain Points Together"

31:09 Leading With AI in Business

Keywords:
Generative AI, Large Language Models, Enterprise companies, Smaller businesses, Increase top line revenue, Increase bottom line efficiency, Real businesses, AI platform, AI adoption, ROI versus hype, Supply chain management, Predictive analytics, AI voice control, Embedded inspection, Retain customers, Operational efficiency, Repetitive tasks, Automated processes, Google, Skill differentiation, AI assistant, AI augmenter, AI-enabled products, Sales opportunities, Knowledge management, Error reduction, Demand forecast, Course correction, Steering committee, Business metrics, Lead generation, AI us

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