In this video, you'll learn why locking your organization into a single AI model could be a competitive disadvantage and what to do instead. We discuss how to match the strengths and limitations of each model to the specific business, department and team workflows.

You’ll discover practical ways to safely let teams use multiple models and niche AI tools without overwhelming IT or exposing sensitive data. We share a simple month‑long experiment any business can run to prove the ROI of AI. Finally, we discuss why an internal AI council can keep you current without chasing every new release.

What we discuss:

0:00 - Why using multiple AI models is “table stakes” for modern businesses

4:01 - AI tools as short‑term rentals, not annual software commitments

8:38 - Role of an internal AI council vs. IT

11:31 - The problem with shadow AI

16:03 - One-month business experiment to show ROI

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this video, you'll learn how Gemini 3’s natively multimodal capabilities (text, image, video, audio) open new possibilities of using AI with visual/spatial tasks. You’ll see how Gemini 3 can actually “watch” videos (not just read transcripts) to extract production techniques, generate detailed prompts, and help non-experts create expert-level visuals.

We also explore potential business t use cases across operations, logistics, safety, fieldwork, customer support, fraud detection,

What we discussed:

0:40 - Overview of Gemini 3’s native multimodality

6:45 - Cost and effort comparison with traditional video/3D production

10:15 - Impact on creative workflows and adapting human processes

13:10 - Going beyond writing/analysis

13:55 - Potential business use cases for AI visual-based tasks

21:05 - Future opportunities and applications

Connect with us if you want to get the benefits of AI for your business: 0260.AI

In this video, you'll learn how proactive AI is shifting us from “firefighting” to foresight in business. We break down the difference between reactive and proactive AI, using real examples from ChatGPT’s Pulse to show how AI can anticipate needs, set priorities, and even start tasks before you ask. We discuss practical use cases across construction, logistics, customer success, and HR. We also discuss how proactive AI can be designed to broaden your perspective instead of narrowing it.

What we discussed:

0:00 - Proactive AI vs reactive AI and business impact

0:52 - ChatGPT Pulse as the next frontier

4:20 - Benefits of AI recommendations from past work

6:45 - From telling AI what to do, to AI initiating actions

14:23 - Personalization: curation vs discovering new topics

Connect with us if you want to get the benefits of AI for your business: 0260.AI