About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Smart Contracts Show Potential; Progress Limited So Far

Subscribe to our newsletter

Experts on the deployment of blockchain technology to handle smart contracts, which facilitate trust between parties in a transaction, are disagreeing about how much blockchain is being applied to smart contracts so far.

The battle was joined in a panel discussion at the Blockchain for Wall Street conference hosted by the Wall Street Blockchain Alliance on November 29. According to Preston Byrne, chief operating officer and general counsel at Monax Industries, the maker of the Eris blockchain platform, “nothing” is in production currently for smart contracts, although he sees prototypes in the works that could be in production by the end of 2017.

IBM, the Swiss non-profit Ethereum Foundation, and New York and London based technology company R3 have emerged as the leading blockchain platforms for the financial services industry. Byrne gave an edge to Ethereum’s Solidity language for smart contracts processing. “Our bets are on [Solidity], because we see the most enthusiasm about it,” he said. “It’s organically built from scratch.”

The Hyperledger open source project for blockchain technology is being applied to smart contracts, however, according to Bart Cant, blockchain community leader at Capgemini Financial Services. “We see new initiatives like Hyperledger, Corda [R3’s platform] and other platforms jumping into the smart contract space,” he said. “It’s an evolution we’re going to see and continue to see. I’m not sure who the winner is going to be, but we’re looking at all pieces of it. Each brings specific aspects strengths to the environment. We will see that evolve over time.”

Use of blockchain for smart contracts by investment banking firms, particularly for trading and settlement of syndicated loans, could bring several benefits, according to a Capgemini study. Settlement of syndicated loan transactions could be reduced from 20 days down to 6 to 10 days; demand could be increased by 5 to 6%, and income from such transactions could increase by anywhere from $2 billion to $7 billion annually, according to the study.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The future of market data – Harnessing cloud and AI for market data distribution and consumption

Market data is the lifeblood of trading, but as data volumes grow and real-time demands increase, traditional approaches to distribution and consumption are being pushed to their limits. Cloud technology and AI-driven solutions are rapidly transforming how financial institutions manage, process, and extract value from market data, offering greater scalability, efficiency, and intelligence. This webinar,...

BLOG

Beeks Moves Up the Stack with Market Edge Intelligence Launch

Cloud and connectivity provider Beeks Financial Cloud Group has launched Market Edge Intelligence, an AI-driven analytics solution designed to deliver trading insights directly at the network edge, marking a significant strategic expansion from infrastructure into data intelligence. The new solution aims to solve what the firm calls a “visibility gap” for trading participants. It uses...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...