Collaborating Authors


On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda Artificial Intelligence

Developments in Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) currently lead lively debates in academia and practice. AI processes data to perform tasks that were previously thought possible only for humans to perform. DLT acts in uncertain environments to create consensus over data among a group of participants. In recent articles, both technologies complement each other. Examples include the design of secure distributed ledgers or the creation of allied learning systems distributed across multiple nodes. This can lead to technological convergence, which in the past, has paved the way for major IT product innovations. Previous work highlights several potential benefits of the convergence of AI and DLT but only provides a limited theoretical framework to describe upcoming real-world integration cases of both technologies. We aim to contribute by conducting a systematic literature review on the previous work and by providing rigorously derived future research opportunities. Our analysis identifies how AI and DLT exchange data, and how to use these integration principles to build new systems. Based on that, we present open questions for future research. This work helps researchers active in AI or DLT to overcome current limitations in their field, and engineers to develop systems along with the convergence of these technologies.

How to build trust in AI with blockchain technology - IBM Field Notes Blog


Machine learning and AI are all about data. We give AI-powered systems massive amounts of data to ingest and analyze, and then we trust the results. But I want to know how we can ensure the integrity of those systems, from the algorithms to the data sources. I believe the issue of data integrity is a huge challenge for the AI community, both for users and developers. And I don't think we're looking at it closely enough.

Future of Artificial Intelligence - You May Question the Capabilities but Cannot Ignore


In the current era, emerging technologies are capturing our interest. Upcoming enterprises are engaged in a race on business analytics, data science, machine intelligence, robotics, cryptocurrency, blockchain, Internet of Things, cybersecurity, augmented reality and much more. Autonomous vehicles, artificial intelligence, drones and virtual reality are trending topics of discussion. While GDPR gets enforced effectively on May 25 and we have concerns with cybersecurity, we can neither leave our addiction of smartphone nor stay away from social media. We can fathom the impact of technology when we see the changes in consumer behavior.

DevFest DC - Artificial Intelligence {AI}


Artificial Intelligence (AI) has been a hot topic in recently is shaping up to be a breakout year for AI. The 2017 Devfest DC {AI} is a must-attend event for people who are interested in the real-world applications of AI, whether you want to learn about AI's effects on businesses or are simply interested in how AI will reshape our day-to-day life. The event is focused on practical applications AI and its subsets Machine Learning and Deep Learning across industries such as Transportation & Logistics, Internet of Things (IoT), Future of Work (FoW), Financial Technologies (FinTech), CyberSecurity, and Healthcare Technologies (HealthTech). It also explores how Machine Learning is impacting society, the enterprise and you! The 2017 conference agenda will provide insights into the present and future impact of AI on your organization, as well as in your daily life.