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OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips

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Ratings

N/A

Episodes

197

Cadence

0.7 ep/wk

Latest episode

8 days ago

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🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

💡 Facts

📤Posts about 0.7× per week.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split

Male 79% Female 21%

Age · peak 18-24

13-179%

18-2436%

25-3430%

35-4414%

45+11%

Top geographies

United States34%
India11%
United Kingdom8%
Brazil6%
Indonesia5%

Likely interests

TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps

Genshin Impact

Shopify

Dbrand

Nebula

Saily

Surfshark

Audible

Fiverr

Epidemic Sound

About

"Open conversations. Real technology. AI for growth." Open Tech Talks is your weekly sandbox for technology: Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs) insights, experimentation, and inspiration. Hosted by Kashif Manzoor, AI Evangelist, Cloud Expert, and Enterprise Architect, this Podcast combines technology products, artificial intelligence, machine learning overviews, how-tos, best practices, tips & tricks, and troubleshooting techniques. Whether you're a CIO, IT manager, developer, or just curious about AI, Open Tech Talks is for you, covering a wide range of topics, including Artificial Intelligence, Multi-Cloud, ERP, SaaS, and business challenges. Join Kashif each week as he explores the latest happenings in the tech world and shares his insights to help you stay ahead of the curve. Here's what you can expect from Open Tech Talks Conversations: • How organizations scale AI beyond pilots • Where AI implementations break down • Governance, risk, and maturity in GenAI systems • Career evolution in the age of AI The podcast is available on all major platforms, including Spotify, Apple, and Google. Each episode of the podcast is about 30 minutes long. "The views expressed on this Podcast and blog are my own and do not necessarily reflect those of my current or previous employers."