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Artificial Intelligence and Financial Services
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Wayne Butterfield Global Head of Intelligent Automation Solutions at ISG
Conversational AI has huge potential for improving customer service and overall customer experience in the retail banking sector. Customer experience remains an area where traditional banks lag behind their challenger rivals. It’s these newer banks that continue to dominate customer service rankings (as we can see in Ipsos’ latest service quality ...
09 September 2021 /retail
Will Lovatt General Manager, EMEA at PROS
Digital selling was part of the sales structure long before the pandemic started, but emphasis on digital interactions with customers became even more crucial when in-person meetings disappeared at the height of Covid. There was a real urgency amongst businesses to embrace digital selling motions across industries. These digital selling and buying...
02 September 2021 /covid-19 /predictions
Junta Nakai Global Industry Leader - Financial Services at Databricks
In early 2021, the Reddit message board WallStreetBets upended Wall Street. In the process, it highlighted the power of democratic trading applications like Robinhood, and its Reddit-inspired investors showed how they could go toe-to-toe with Wall Street power players for market influence. Now, more and more Americans turn to sites like Reddit f...
02 September 2021 /predictions
Vladimir Ershov Head of Data Science & Machine Learning at Clausematch
Keeping track of changing regulations is one of the biggest challenges regulated firms face today. Whether it’s the banking industry, the insurance industry, or the legal industry, it’s not easy for businesses to keep up with the vast number of changes in the regulatory space. Monitoring the constant changes can quickly become a burden for an org
31 August 2021 /regulation
Anthony Sumner Managing Director Analytics at Experian
It’s a cutting-edge technology which financial services and other organisations will already be familiar with but may not fully understand. The rise of Machine Learning has long-been discussed, promising a new way of delivering successful outcomes and solutions across a myriad of services and applications. The future is already here but we are now...
31 August 2021 /inclusion /predictions
Adam Lieberman Chief AI Officer at Finastra
As the use cases for AI in financial services continue to grow and deliver value for organizations and customers alike, I’d like to provide some insight on where I think the technology is delivering most value at the moment, and also where I think we are headed. Firstly, though, a little on how far we’ve come. Many people don’t realize that AI has...
31 August 2021 /retail /predictions
Clare Joy Strategy & Expansion Lead at Onfido
When developing new technologies, we must ensure that they operate fairly. At a time when identity is increasingly being used as the key to digital access, any technology based on identity must function fairly and equally for everyone, regardless of race, age, gender, or other characteristics leading to human physical diversity. While digital serv...
27 August 2021 /inclusion /identity
Dmitry Dolgorukov CEO at GiniMachine
Companies seeking to implement artificial intelligence (AI) solutions often find themselves faced with a lack of knowledge and high costs, and that’s before they even get started. According to a 2017 survey by Deloitte, 47% of businesses complained of difficulties integrating AI projects into their current systems. Meanwhile, 40% noted cost as a s...
04 August 2021 /predictions
Yahya Mohamed Mao Head of Business Development & Marketing at Swiss GRC
Europe is lagging behind not only the US and Japan, but also China in terms of technological innovation. According to a 2019 article on World Economic Forum (WEF), China overtook the EU with R&D expenditure equivalent to 2.1% of GDP. The world’s 15 largest digital firms are not European! It is beyond question that Europe produces bright minds ...
28 July 2021 /regulation
Defining fairness is a problematic task. The definition depends heavily on context and culture and when it comes to algorithms, every problem is unique so will be solved through the use of unique datasets. Algorithmic fairness can stem from statistical and mathematical definitions and even legal definitions of the problem at hand. Furthermore, if ...
28 July 2021 /retail /predictions
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