by Yana Lapach | Feb 24, 2021 | AI Insight, Blog Post
2021.AI’s responsible AI principles As an AI Platform provider of Responsible use of AI, 2021.AI holds the highest standards when it comes to developing and implementing AI and Machine Learning models. AI is a powerful technology that can help people and...
by Yana Lapach | Jan 25, 2021 | AI Insight
2021: The year of enterprise AI implementation At 2021.AI, we believe that the year 2021 will be the year of enterprise AI implementation. Over the past several years, we’ve seen AI adoption speed increase as the implementation barriers have lowered. The climate...
by Yana Lapach | Jan 19, 2021 | AI Insight
How to combat fraud in Banking Fraud is a growing problem across many industries and banking is certainly no exception. Whether internal or external, all banking institutions should be aware of the potential risks as well as sources of fraud within their...
by Yana Lapach | Dec 10, 2020 | AI Insight
HOW TO OVERCOME THE CHALLENGES OF PRODUCTIONIZING AI Putting AI models in production is notoriously tricky, and the challenges have many different nuances. This blog post summarizes the fundamental difficulties of productionizing AI models and how we, at 2021.AI,...
by Yana Lapach | Oct 22, 2020 | AI Insight
Structural bias in AI models Twitter recently came under fire due to structural bias in their cropping algorithm used to crop photos for the Twitter feed. Twitter optimizes the cropping of images displayed on the feed so that what the thumbnail version of a photo is...
by Yana Lapach | Oct 16, 2020 | AI Insight
Disparate impacts in AI implementations Every day, more and more decisions are made across the enterprise, and many of these decisions are made by algorithms within AI systems. Humans can unconsciously bring biases into their decision-making, and we must ensure that...
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