As CTO for Clause Inc. I breathe the rarified air of blockchain, AI, IoT, and Legal-Tech (joke). Seriously, I do read quite widely, so in time-honored fashion, here are my predictions for 2018.
THIS IS NOT INVESTMENT ADVICE
A month ago I resigned from IBM. On Monday I start my new job as CTO of Clause Inc., a legal-tech startup that is going to revolutionise the world by creating a platform for lawyers and developers to define, manage and operationalize true (legally enforceable) smart clauses and contracts. This new mission combines three of my longstanding passions: AI, blockchain (DLT) and rules. More on that later however!
Are you evaluating blockchains and wondering how to get started? In this technical article I will compare and contrast two approaches that fall under the Hyperledger umbrella: Hyperledger Fabric and Hyperledger Composer.
Six months have elapsed since we started working on Fabric Composer. What started as a whitepaper by IBMer Anthony O’Dowd, some analysis of the code of existing Hyperledger Fabric solutions, and a spark of model-driven inspiration, is now a fledgling Open Source project proposal to the Linux Foundation.
This article (for CIOs, developers, analysts and IT architects) explains the value proposition and high-level features of Fabric Composer.
Fabric Composer (Composer) is an Open Source tool to define, deploy and integrate with business networks. Fabric Composer makes it easy for technical analysts and developers to create business networks that use a distributed-ledger to exchange information. The Composer runtime executes on the Open Source Hyperledger Fabric blockchain, storing all data on the distributed ledger, and executing all business logic on Hyperledger Fabric.
Since September 2016 I’ve been working on an application development framework for the Hyperledger Fabric distributed ledger technology (blockchain). I’ve been fortunate enough to be part of an amazing team that has moved mountains and performed several miracles over the past few months!
Artificial intelligence and robotics are now part of our everyday experience and zeitgeist. From Tesla and Uber advancing the state of the art in self-driving cars (and soon trucks), to robotic milking machines, driver-less trains, to space exploration, to algorithmic news filtering, summarisation and selection, to using computers to detect cancer, to military drones, many traditionally human jobs are being replaced, or augmented, by robotics, algorithms and technology.
The challenges to applying existing declarative rules and process technology in the context of blockchain are many and varied.