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[WEBINAR] Demystifying AI: Practical Strategies for Immediate Business Impact

Автор: Data Meaning

Загружено: 2025-04-09

Просмотров: 138

Описание: Discover the real-world applications of AI in this comprehensive webinar featuring Marvin Mayorga, co-founder of Datam. Cut through the noise and misconceptions about artificial intelligence to understand how your business can implement practical AI solutions today.

Learn about different AI architectures, implementation strategies, and how to identify low-risk, high-impact use cases that deliver immediate ROI with minimal investment. Explore real examples of AI workflows that can transform your business operations.

🚨 Watch all recordings of our webinars here in this playlist:    • All Data Meaning Webinar Recordings  

✅ Chapters:

00:00 Welcome and introduction by Ivan Ramos
00:59 Opening quote by Jensen Wang about AI misconceptions
01:33 Common misunderstandings about AI in boardrooms
02:19 Myth vs. reality: AI implementation requirements
03:37 What exactly is AI? Core principles explained
05:56 The three key capabilities of AI systems
07:04 Different classifications of AI explained
09:44 How generative AI differs from traditional models
12:06 Examples of AI already implemented in businesses
13:24 Why AI seems confusing today: merging technologies
15:18 Understanding AI architectures vs. consumer AI tools
17:57 The importance of focusing on business value
19:27 RAG architecture explained (Retrieval Augmented Generation)
23:07 Agentic architecture: how AI agents work
24:53 Altrix platform capabilities for AI implementation
27:14 Example workflow: AI-powered expense approval system
31:00 Legal risk summarizer workflow demonstration
35:07 Data quality resolver workflow demonstration
36:49 Recommended next steps for AI implementation
40:03 Why to focus on low-risk, high-impact use cases
41:23 AI readiness scorecard overview
42:07 One-day readiness implementation workshop
43:44 Inventory of low-risk high-impact AI use cases
44:45 Q&A session begins
45:17 How to know if your data is ready for AI
47:56 Detailed walkthrough of the expense validation workflow
50:03 Data quality validation workflow demonstration
52:20 Legal risk assessment workflow demonstration
57:09 Biggest mistakes enterprises make when implementing AI
59:33 Build vs. buy: Should you build AI in-house or use off-the-shelf tools?

👉 Subscribe for more insights!
🔗 For more information on data consulting services: https://datameaning.com/contact/
📱Connect with us on LinkedIn:   / data-meaning-services-group  
🔔 Turn on notifications to stay updated on our latest content!

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[WEBINAR] Demystifying AI: Practical Strategies for Immediate Business Impact

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