Latest opinions that Adam Lieberman has shared on Finextra

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Adam Lieberman

Chief AI Officer

Finastra

Member since

26 Nov 2020

Location

Atlanta

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Adam's opinions

How to maximize success and ROI with AI projects

A recent survey of 2,000 CEOs revealed that just 25 per cent believe that their AI projects have achieved ROI. Further to this, the IBM poll revealed that just 16 per cent of AI projects have scaled enterprise wide. In some ways, these are stark findings, but they are not entirely surprising. In financial services, many organizations are still gra...

23 June 2025 /ai Artificial Intelligence and Financial Services

Building skills-based organizations, fluent in Gen AI

Generative AI offers the potential to transform the delivery of financial services and the way organizations operate, but it must be used responsibly and with understanding. Ensuring all people within an organization are able to explore its potential in a safe and compliant way is a fundamental consideration and one that should shape every organiz...

05 June 2025 /ai /people Artificial Intelligence and Financial Services

AI trends in financial services

In this first quarter of 2025, AI advancements are continuing apace. In the realm of financial services, use cases must adhere to restrictions and regulations around data usage, but there are a number of areas that are gaining significant traction and will continue to mature over the next year. Here are six trends that I see gaining traction and

27 March 2025 /ai /predictions Artificial Intelligence and Financial Services

Exploring Gen AI use cases in financial services

With the explosion of Gen AI in recent times, financial services organizations are looking to harness the technology to its fullest potential. Early forms of generative AI have been used across the industry for a decade, particularly in the form of synthetic data generation, but fear and fascination dominate boardroom conversations in equal mea

28 May 2024 /ai /regulation Artificial Intelligence and Financial Services

Which Gen AI use cases are emerging as the most popular?

Generative AI made a huge impact in 2023 – with the majority of financial services recognizing its potential to offer wide-ranging benefits and moving quickly to start exploring its implementation within their organizations. But what specific use cases are proving the most popular so far? This is a question we posed as part of our recent State of...

04 January 2024 /devops /predictions Artificial Intelligence

How Web3 is driving social and financial empowerment

In recent years, Web3 has been put forward as the most significant democratic revolution in the digital space. With big tech monopolies governing the exchange and monetisation of information today, the promise of Web3 is the empowerment of users when it comes to the ownership and sharing of data. The decentralisation of ownership is expanding to i...

31 May 2023 /people /crypto Decentralized Finance (DeFi)

Why PySyft is the open-source hero technology the world needs

Data is the most valuable resource we have today when it comes to solving our greatest challenges. With the right data, and enough of it, there is no limit to the compelling use cases we can create. Imagine a world where we could stop financial crimes like money laundering, help reduce the number of deaths due to breast cancer, and more accurately...

10 October 2022 /regulation /cloud Data sharing

Fairness and freedom: The value of machine unlearning in financial services

Today, businesses rely on predictive models for a multitude of reasons. At the very least, they enable novel insights that can streamline internal processes; at the most, they are essential drivers of growth and critical to business operations. Therefore, it is no surprise that data scientists spend a lot of time building these models. To keep mod...

17 May 2022 /regulation /predictions Artificial Intelligence and Financial Services

The hidden causes of algorithmic unfairness

Having covered the importance of defining algorithmic fairness in an earlier article, I would now like to discuss the factors that can lead to model unfairness in more detail. Data and Bias Data collection is an amazing and fascinating field of study and there is a real science to collecting and maintaining high-quality datasets. There are also ma...

19 October 2021 /inclusion /predictions Artificial Intelligence and Financial Services

The past, present, and future of AI in financial services

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 Artificial Intelligence and Financial Services