About
Articles by Rene
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Why Are Employees Struggling to Harness the Power of GenAI?
Why Are Employees Struggling to Harness the Power of GenAI?
By Rene Bystron
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What's Certain in AI's Future? The Steadily Growing AI Skills Gap
What's Certain in AI's Future? The Steadily Growing AI Skills Gap
By Rene Bystron
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AI Won't Take Your Job, But Your Tech-Savvy Neighbor Will
AI Won't Take Your Job, But Your Tech-Savvy Neighbor Will
By Rene Bystron
Contributions
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What do you do if your AI algorithm design and optimization requires problem solving skills?
For algorithms, each iteration is a chance to learn from the data, to smooth out the rough edges. It's not enough to build and deploy; the real work often begins after deployment. The algorithm must be tested continuously against fresh, real-world data, to ensure that it doesn't just understand the past, but is also ready for the future. This method also provides invaluable insights into when an algorithm might drift or fail, prompting proactive refinement. In this cycle, data is not just the input, but also the crucible in which the AI is tested and forged into something robust and reliable.
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What do you do if your AI algorithm design and optimization requires problem solving skills?
Start by examining your data with a critical eye—consider not only its size and scope but also its relevance to the problem you're solving. Ensure your dataset is diverse and robust enough to avoid biases, as these can lead to skewed results and unreliable AI performance. Also, analyze the complexity of your algorithm: is it sophisticated enough to capture the nuances of the data, or could its simplicity be missing critical patterns? Remember, the balance between complexity and simplicity is delicate. Overfitting and underfitting are common pitfalls, where the former may perform exceptionally well on training data but fail to generalize to new data, and the latter might not capture the underlying trends effectively.
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What do you do if your AI algorithm design and optimization requires problem solving skills?
Research shows that while AI tools have the potential to boost productivity by 30-40% for those who are well-versed in using them, employees can actually experience a drop in productivity if they're not educated on how to use these tools effectively. This highlights a crucial point for organizations: the power of AI isn't just in the technology itself, but also in upskilling your workforce to use it. When employees understand AI, they can integrate it into their workflow, make better decisions, and work more efficiently. Therefore, investing in education and training for your team is just as important as investing in the technology itself. It ensures that your AI solutions translate into real-world efficiency and success for your business.
Activity
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So excited to welcome Darren as the Founding Engineer at Nowadays (YC S23)! Darren holds a Master’s in Computer Systems from MIT and previously…
So excited to welcome Darren as the Founding Engineer at Nowadays (YC S23)! Darren holds a Master’s in Computer Systems from MIT and previously…
Liked by Rene Bystron
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🤔 Plot twist in my AI journey! For years, I've been the 'prompt guru' 🧙♂️ - teaching folks how to sweet-talk AI with the perfect prompts…
🤔 Plot twist in my AI journey! For years, I've been the 'prompt guru' 🧙♂️ - teaching folks how to sweet-talk AI with the perfect prompts…
Shared by Rene Bystron
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We crashed GeekWire's VIP list. Hi, Melinda! 🌈 Cannot believe that we were one of the most popular stories last week! 🎉 Apparently, folks are as…
We crashed GeekWire's VIP list. Hi, Melinda! 🌈 Cannot believe that we were one of the most popular stories last week! 🎉 Apparently, folks are as…
Shared by Rene Bystron
Experience & Education
Licenses & Certifications
Volunteer Experience
Publications
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Duke East Asian Nexus
Duke University
Duke University's Premier Undergraduate/Graduate Journal of Asian Studies.
Courses
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Analysis For General Managers
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Business Japanese
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Capital Markets
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China's Financial System
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Competitive and Corporate Strategy
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Corporate Finance
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Decision Science
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East Asian Economy
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Financial Measurement, Analysis & Reporting
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Global Economics for Managers
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Japanese Economy
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Leading Individuals & Teams
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Leading Organizations
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Magement Communication
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Managerial Economics
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Marketing
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Microeconomics
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Statistics for Managers
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Honors & Awards
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Japanese Fellow
Richard U. Light Foundation
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Research Fellow
Bruce L. Cohen Fellowship
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Scholar
Trumbull College Mellon Fellowship
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ASSIST Scholar at Lawrenceville School
Open Society Fund
Languages
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Japanese
Native or bilingual proficiency
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Czech
Native or bilingual proficiency
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French
Professional working proficiency
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German
Limited working proficiency
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Spanish
Professional working proficiency
Organizations
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Barclays Steering Committee for Diversity
member
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UBS APAC Graduate Trainee Committee
co-chair
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More activity by Rene
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Guess what? DeltaGen is in GeekWire! 🧑💻🚀 When I started the first AI upskilling app in the App Stores, ai LaMo, I wanted to teach people how to…
Guess what? DeltaGen is in GeekWire! 🧑💻🚀 When I started the first AI upskilling app in the App Stores, ai LaMo, I wanted to teach people how to…
Shared by Rene Bystron
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