InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Regulatory Environment and Government Opportunities for Blockchain
Joseph Williams reviews the regulatory issues that face the implementation of blockchain, and discusses where blockchain might first be applied to government operations.
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Solving Business Problems with Blockchain
The panelists discuss the business problems that blockchain can solve.
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Blockchain in Healthcare
Karim Babay discusses how HealthSapiens addresses some of the issues healthcare is facing: high costs, difficulty accessing EMRs, insurance provider network restrictions, lack of transparency, etc..
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R for AI developers
David Smith makes the case for R as a platform for developing models for intelligent applications, offering a few examples with details in the accompanying interactive code lab.
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Google Dataflow Codelab
Martin Gorner introduces Google Dataflow Codelab, and demos the tools and techniques they are using for data science.
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Smart Contracts That Learn
Michael Slinn discusses Smart Contracts, what they are, various implementations, how they can learn, and use cases.
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How Blockchain Fits into a 125 Year Old Conglomerate
Atul Kshirsagar discusses how blockchain can be used in an enterprise, detailing how GE works to introduce blockchain, the various pilot programs they are running and the apps the tech is good for.
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Neural Networks across Space and Time
Dave Snowdon starts with a brief introduction to deep neural networks, why they are important and how they work. He covers 2 of the most important deep neural architectures: convolutional & recurrent.
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Inside a Self-driving Uber
Matt Ranney discusses the software components that come together to make a self-driving Uber drive itself, and how they test new software before it is deployed to the fleet.
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Parallelizing Product Development with GraphQL
Chris Biscardi talks about how to drive API development forward with the data model as the source of truth using the GraphQL Schema Definition Language.
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The Future of Blockchain
The panelists discuss the current status and future trends in blockchain technologies.
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The Future of Distributed Databases Is Relational
Sumedh Pathak talks about his team’s journey to create a more modern relational database, distributed systems, scaling Postgres, distributed query planner and the distributed deadlock detection.
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