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

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

The importance of defining fairness for decision-making AI models

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 Artificial Intelligence and Financial Services

Why fairer AI is essential for long-term survival

An important consideration for data scientists, businesses, and society as a whole, today centres on how we might establish AI as an indisputable and indispensable force for good in the world. For years, we have seen stories of bots and machines taking over the job market, discriminatory facial recognition technology, and few of us will forget the...

25 May 2021 /retail /inclusion Artificial Intelligence and Financial Services

The benchmarking breakdown: why your competitors aren’t your competitors

Benchmarking is an incredibly useful tool. It allows organizations to measure themselves against their main competitors and identify key areas they thrive in as well as areas in which they are lacking. But, identifying your main competitors is a task within itself. For example, when it comes to incumbent banks, the major competitors in the market ...

11 March 2021 /retail /predictions Artificial Intelligence and Financial Services