Analyst Insight | August 06, 2019
Lux recently attended the Amazon Web Services (AWS) Summit in New York City to scout the latest technology trends in cloud computing. Of the many technologies discussed at the conference, AI and machine learning took center stage, alongside other topics like blockchain and serverless computing. Key ... Not part of subscription
Analyst Insight | February 04, 2020
The AI market continues to evolve at an unprecedented pace. In 2019, more than $36 billion was invested into AI startups, and hundreds of AI companies were acquired. In this insight, we highlight six key trends in the AI landscape and propose what they mean for 2020. 1. North America remains ... Not part of subscription
Analyst Insight | October 14, 2020
One feature common to almost all AI and machine learning software is inaccuracy. Unlike traditional software, which is rule‑based and deterministic, modern machine learning‑based AI is probabilistic and can be unpredictable, leading to systems that provide inaccurate results a nontrivial percentage ... Not part of subscription
by Cole McCollum
Following several allegations of gender discrimination against women, the CEO of Goldman Sachs, the card's issuer, publicly defended the company's decision-making process, stating that "we have not and never will make decisions based on factors like gender." What Goldman Sachs failed to take into account is that machine learning algorithms excel at finding latent features in data – features that are not directly used in training a machine learning model but are inferred from other features that are. Clients should be aware that propagating bias found in historical datasets is one of the biggest challenges in implementing machine learning and should explore bias detection and AI explainability tools that can help alleviate this issue.
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