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AI regulation is here: what does it mean for businesses?

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In April 2021, the European Union Commission has once again planted its flag on advancing AI development in a trustworthy manner with its Proposal for a Regulation on a European approach for Artificial Intelligence.  Since 2018, the Commission has been carrying out extensive stakeholder consultation to discuss the vision for AI in Europe, and what trustworthy … Read more

Introducing Boxkite: open source model observability for MLOps teams

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So you’re putting machine learning (ML) models into production, but how do you know how they behave when exposed to production data? Most teams start by monitoring their ML models just like regular software microservices: looking at latencies and error rates. And while latency and error rates is necessary for understanding model behaviour in production, … Read more

Back To Basis: Restoring Trust In AI

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From viral filters to suspiciously specific—though convenient—search recommendations, artificial intelligence (AI) underpins just about every action we take on social media today. Similar to other successful modern technologies like smartphones and the internet, AI has become ubiquitous—almost to the point of invisibility. This article first appeared on Asian Scientist Magazine.  For tech behemoths like Facebook and Google, … Read more

3 AI trends we’re seeing within Financial Services

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Going digital and harnessing data are now widely acknowledged as strategic differentiators for the financial services industry. Many financial services institutions are turning to machine learning and artificial intelligence to accelerate and augment their business models.  In conversations with bank executives, a common concern we hear is: How do I capture real world benefits of … Read more

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