Rudina Seseri
Contributor at Freelance
All things #AI #enterprisetech #earlystage @GlasswingVC Executive Fellow & Alumna @HarvardHBS Alumna @Wellesley
Articles
-
2 weeks ago |
cio.com | Rudina Seseri
🚀 The new CIO.com hybrid search: 🔍 Explore CIO content smarter, faster and AI powered.
-
2 months ago |
bizjournals.com | Rudina Seseri
The new Massachusetts AI Hub "is more than a milestone — it invites startups and entrepreneurs to seize the moment in a rapidly evolving AI landscape," writes Rudina Seseri, founder and managing partner at Glasswing Ventures. The recently announced Massachusetts AI Hub is a bold initiative by the Healey-Driscoll administration to foster collaboration among government, industry, and academia for the economic and social benefit of the commonwealth.
-
Feb 27, 2025 |
linkedin.com | Rudina Seseri
Image Source: Generated using Midjourney Businesses today have more data than they know what to do with, from individual customer interactions to operational metrics and financial trends. This has laid the groundwork for the widespread adoption of enterprise AI, including large language models (LLMS) such as ChatGPT, DeepSeek, and Llama. However, while these models unlock novel opportunities to process and analyze information, they ultimately process inputs word-by-word.
-
Jan 28, 2025 |
linkedin.com | Rudina Seseri
Image Source: Glasswing Ventures / Midjourney Glasswing Ventures firmly believes that the most attractive AI investment opportunities exist at the application layer of the AI tech stack. The true power of AI lies not in the generic capabilities of foundation models but in the specific technology designed for unique markets and verticals. When AI-native products leverage training data and are optimized for certain business outcomes, they positively impact industries.
-
Jan 9, 2025 |
linkedin.com | Rudina Seseri
Large Language Models (LLMs) like ChatGPT and Claude are trained to generate human-like text and follow natural language instructions. However, a famously persistent problem with these models is their tendency to generate false or misleading information – a phenomenon referred to as “AI hallucination.” For businesses, relying on incorrect AI-generated outputs can lead to costly mistakes and painful reputational damage.
Try JournoFinder For Free
Search and contact over 1M+ journalist profiles, browse 100M+ articles, and unlock powerful PR tools.
Start Your 7-Day Free Trial →X (formerly Twitter)
- Followers
- 4K
- Tweets
- 5K
- DMs Open
- No
RT @CIOonline: The AI-native generation isn’t coming—it’s already here. While enterprises wrestle with legacy systems, GenAI is second nat…
RT @GlasswingVC: What happens when LLMs learn when to ask for help? In today’s AI Atlas, @rudina11 dives into new research that shows how r…
LLMs are evolving fast, but most still struggle with accuracy and adaptability. In this edition of my AI Atlas, I highlight two new breakthroughs that bring us closer to a future of truly agentic AI. 🔗https://t.co/BXHhiggKP2