Analytics and AI-driven enterprises thrive in the Age of With
Over the course of his career, Byrum has worked with thousands of crowdsourcing projects, and he strongly believes that they generally yield more innovative solutions…
Identifying the Best Performing Stocks Based on Their Semi-Annual Returns
AI stock prediction breakthrough: Research teams achieve statistically significant return predictions. Deep learning vs traditional ML methods compared.
Man and Machine Known Knowns: Understanding Smart Technology Part 4
From chess masters to poker champions—discover which battles humans win vs. AI, and why cooperation might be our only survival strategy.
Why Specialized Artificial Intelligence is Better, Yet Largely Ignored
The dream of creating an artificial general intelligence has captivated our imagination for generations, and specialized AI is the solution.
Optimizing Business With Open Innovation
Students are outperforming domain experts on AI projects. Discover the cognitive diversity advantage every company is ignoring.
Talent Meets Opportunity
When it comes to cross-campus collaboration, Carnegie Mellon University puts it to practice, and it’s immensely powerful.
Overcoming Statistical Limitations with Idiosyncratic AI
To measure business performance, build a model that accounts for the complexity of financial markets and individual differences.
The Human Mind Known Knowns: Understanding Smart Technology Part 3
We know a fair amount about human behavior in relation to machine and we have a good understanding of technology challenges to humanity’s adaptive skills.
Cyber Law Expert Anticipates Regulatory Response to AI, Big Data
Byrum noted the potential risks and benefits of AI in financial services, and he suggested crafting sensible industry-specific rules for AI in asset management
The Asset Management Industry Should Take the Lead on A.I. Standards
Since AI is already used by investment managers to improve operations, investment strategy, & trading efficiency, the need to address AI policy is urgent.
Building an Analytical Talent Ecosystem at Principal
Overall, Byrum’s philosophy is that cognitive diversity in his team and ecosystem are very important, and that many data science groups lack such diversity.
Hardware and Software Known Knowns: Understanding Smart Technology Part 2
Discover the fundamental limitations keeping AI from true intelligence—NASA’s definition of life reveals why machines will always fall short.
