
Ronald Schmelzer
Contributor at Freelance
#AI #ML Expert - Principal Analyst, Cognilytica - AI Today Podcast Host - TechBreakfast Founder - SXSWi Judge - ex-ZapThink, Bizelo, Zoptopz, ChannelWave
Articles
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1 month ago |
projectmanagement.com | Caitlin Sullivan |Kathleen Walch |Ronald Schmelzer
Request to reuse this Add to my favorites The Seven Patterns of AI categorizes AI applications into distinct usage categories to help refine how AI is being applied to critical needs: Recognition, Conversational, Patterns and Anomalies, Predictive Analytics, Goal-Driven Systems, Hyperpersonalization, and Autonomous Systems.
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1 month ago |
forbes.com | Ron Schmelzer |Ronald Schmelzer
Planning the perfect vacation or business trip often starts simply but quickly descends into endless scrolling, comparing destinations, juggling flight prices, and wading through traveler reviews. The airport experience further compounds this stress, with confusion and congestion adding layers of anxiety for travelers.
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2 months ago |
forbes.com | Ron Schmelzer |Ronald Schmelzer
It’s becoming increasingly challenging keeping what’s most important to us safe in this increasingly unpredictable world. To help with these challenges, AI is finding an increasing role in the security and safety industry, enhancing threat detection, response capabilities, and overall safety measures. AI Augmented SurveillanceSecurity systems are getting an AI upgrade with computer vision and smarter abilities to keep an eye on video feeds and sensor data.
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2 months ago |
forbes.com | Ron Schmelzer |Ronald Schmelzer
When you think of AI in the automotive industry, self-driving cars might be the first thing that comes to mine. However, AI is taking much more of a front seat in changing the automotive industry as a whole, driving innovations in vehicle safety, manufacturing, and customer experience. Autonomous & AI-Enhanced VehiclesThe headline-grabbing news in the automotive industry focuses on self-driving, autonomous vehicles.
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Feb 13, 2025 |
forbes.com | Ron Schmelzer |Ronald Schmelzer
From determining risk and setting premium rates to determining claim payouts, and optimizing customer outreach, insurance is highly dependent on data. Anywhere there’s a lot of data, AI provides significant value, driving greater efficiency, providing more optimized and focused delivery, and improving human ability. This especially the case with AI in insurance. AI is significantly impacting the insurance industry, improving efficiency, accuracy, and customer experience across various processes.
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How AI is Transforming Manufacturing and Other Industries: Interview with Linda Yao, @Lenovo 🎧 https://t.co/wTV5allEAB #CIOs #Podcast #Lenovo

🤔 Are Data Scientists Still Key To AI? via @Forbes 🔗 https://t.co/VrbIGDuNu2 #AI #datascientist

Collaboration Skills Are Necessary For $GenAI Success via @Forbes @Kath0134 🔗 https://t.co/SFDdYrg0hE