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5 top RegTech trends Chief Risk Officers need to be on top of in 2023
As we progress into the new year, it’s important for Chief Risk Officers (CROs) to keep an eye on the latest RegTech trends. By adopting
A quick history of Natural Language Processing
Natural Language Processing (NLP) is a field of artificial intelligence that involves the use of algorithms, statistical models, and other techniques to analyse, understand, and
Aveni’s 2022 Consumer Duty Resources
As the year comes to an end, it’s a good time to reflect on the events of the past 12 months, both the good and
Aveni Detect now available on Genesys AppFoundry to transform Consumer Duty compliance
Aveni Detect is now available on the Genesys AppFoundry ™, a marketplace of solutions offering a curated selection of applications and integrations that elevate customer
CRO Consumer Duty survey findings: Consumer Outcomes not prioritised?
We conducted a consumer duty survey to fully understand the preparedness of CRO and Senior Risk and Compliance Executives for the Consumer Duty, what activities they are
CRO Consumer Duty survey findings: Customers at the heart of your business? Now is the time to prove it.
We surveyed +80 Senior Compliance and Risk Officers from across the UK’s Financial Services sector to find out their top priorities and investment plans for
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Explainer video: Aveni Detect
Aveni Case Study: The Key Group
Quality Assurance transformation at a leading later life provider Aveni is working closely with one of the UK’s leading later life providers to completely
Aveni’s top 5 articles of 2021
As we start a new year, we wanted to share some of the most popular articles from 2021. 2021 was a busy year to say
Top 5 risk and compliance podcasts you should be listening to
Podcasts are all the rage these days. You can just about find any topic of interest and they continue to increase in popularity as a
Is bias a problem in machine learning?
In all decision-making processes, whether human or machine, bias can result in unfair outcomes. We discuss why this can be a problem for machine learning,