A collection of published work across various outlets and periods. I write about the intersection of Technology, Data, Software, Innovation, and Society.

Topics include AI, Knowledge Graphs, Analytics, Algorithms, the Commons, Environment and Sustainability, Blockchain and DLT, Decentralization, Future of Work, Science, Emerging Tech, and more.

Writings

	Getting there: Structured data, semantics, robotics, and the future of AI | ZDNet Leveraging structure in data is key to making progress in AI, says AI prodigy Gary Marcus. A forward-looking view on Software 2.0, AI chips, robotics, and the future of AI		Rebooting AI: Deep learning, meet knowledge graphs | ZDNet Gary Marcus, a prominent figure in AI, is on a mission to instill a breath of fresh air to a discipline he sees as in danger of stagnating. Knowledge graphs, the 20-year old hype, may have something to offer there
	What’s next for AI: Gary Marcus talks about the journey toward robust artificial intelligence | ZDNet Gary Marcus is one of the more prominent, and controversial, figures in AI. Going beyond his critique on Deep Learning, which is what many people know him for, Marcus puts forward a well-rounded proposal for robust AI		AI and automation vs. the COVID-19 pandemic: Trading liberty for safety | ZDNet Reports on the use of AI to respond to COVID-19 may have been greatly exaggerated. But does the rush to pandemic-fighting solutions like thermal scanners, face recognition and immunity passports signal the normalization of surveillance technologies?
	Make software great again: can open source be ethical and fair? Is there a way to go beyond open source, and have ethical, fair software in a cloud-first world? This is what some people in the open source community think.		Amazon and commercial open source in the cloud: It’s complicated What do the data tell us about the relationship between cloud vendors -- specifically, Amazon and commercial open source vendors?
	Trends in data and AI: Ben Lorica on cloud, platforms, models and Pegacorns Ben Lorica belongs to the first generation of data scientists and has served as Chief Data Scientist for the likes of Databricks and O'Reilly. We caught up to discuss data management and AI trends, as well as new areas for growth and the trouble with unicorns and what to do about it.		The state of AI in 2022: Evolution, Distribution, Safety Shining light on AI research and applications in a conversation with the curators of the most comprehensive report on all things AI
	Chainlink 2.0 brings off-chain compute to blockchain oracles, promotes adoption of hybrid smart contracts | ZDNet A new whitepaper just released by leading blockchain oracle service Chainlink lays the foundation for new capabilities for application and smart contract developers.		Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL | ZDNet Google uses machine learning and graphs to deliver search results. Most search engines do not. Weaviate wants to change that.

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