InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Accelerated Spark on Azure: Seamless and Scalable Hardware Offloads in the Cloud
Yuval Degani shows how hardware accelerations in Azure can be utilized to speed-up Spark jobs, with the aid of RDMA (Remote Direct Memory Access) support in the VM.
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Implementing AutoML Techniques at Salesforce Scale
Matthew Tovbin shows how to build ML models using AutoML (Salesforce), including techniques for automatic data processing, feature generation, model selection, hyperparameter tuning and evaluation.
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Evaluating Blockchain Companies
Michael Slinn explains the point-based scoring system that he uses when writing an assessment report, and how it applies to blockchain-related technology companies.
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Challenges & Solutions for a Blockchain-Powered Future
Eran Eyal talks about how the advent of blockchain technology promises a new era of more equitably distributed market power, the top 3 challenges adopting blockchain and the challenges of a visual AI.
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Fast Log Analysis by Automatically Parsing Heterogeneous Log
Debnath & Dennis present a solution inspired by the unsupervised machine learning techniques for automatically generating RegEx rules from a set of logs with no (or minimal) human involvement.
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Teaching a Machine to Code
Samir Talwar discusses different techniques, architectures and optimizations tried in the process of teaching a machine to write code using neural networks, simulations and everything in between.
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How Blockchain Has Created a New Paradigm in Security
Paul Puey explains how the new type of security created by the cryptocurrency companies could disrupt the way that data is secured outside of the blockchain industry.
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Building Better Blockchain Use Cases
Wesley Graham attempts to explain why 92%of 26,000 blockchain projects started in the last two years have died.
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Spurring the Ethical Imagination
Natalie Evans Harris discusses how to incorporate ethical decision-making and identify ethical dilemmas working with data.
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Data, GDPR & Privacy: Doing It "Right" without Losing It All
Amie Durr talks about the privacy concerns and subsequent regulations, and how to operate a business that does the "Right" thing for the consumer, without impact the ability to innovate and grow.
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Cryptoeconomics - The Application of Economic Systems, Incentives and Mechanisms
Jomari Peterson discusses crypto-economics and some of the significant considerations when designing a cryptocurrency.
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How to Use Data Responsibly
Emma Prest and Clare Kitching discuss practical, pragmatic and ethical data science, talking about real world experience from the work of DataKind UK.
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