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Home / Topics / Data / Page 20

Language agnostic document processing: Finding relations using statistics, machine learning, and graphs

  • ganadiotis
  • Apr 14, 2017
  • AI / Machine Learning, Analysis, Data Science, Featured, Graph, Interview, Technical, Use Case
  • No comments yet
Language agnostic document processing: Finding relations using statistics, machine learning, and graphs

Would you like to be able to find related work regardless of domain or language, more efficiently than you ever thought possible? Omnity is out to help achieve this, using a mix of techniques.

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Data Works, Hadoop 3.0 is round the corner, and ‘Horton Hatches the Egg’

  • ganadiotis
  • Apr 07, 2017
  • Conference, Data Lakes & Warehouses, Interview, News, Open Source, Technical, Use Case
  • Hadoop
  • No comments yet
Data Works, Hadoop 3.0 is round the corner, and ‘Horton Hatches the Egg’

What's coming in Hadoop 3.0? How is Hortonworks' strategy evolving? And what are some examples of open-source powered innovation in big data use cases?

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Big Data versus money laundering: Machine learning, applications and regulation in finance

  • ganadiotis
  • Mar 23, 2017
  • AI / Machine Learning, Analysis, Analytics, Business, Featured, Interview, Regulation, Use Case
  • No comments yet
Big Data versus money laundering: Machine learning, applications and regulation in finance

Could financial fraud such as the Laundromat be avoided by applying machine learning to scan through data? And if yes, why is that not happening?

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Disrupting insurance: data-driven customer value

  • ganadiotis
  • Mar 15, 2017
  • AI / Machine Learning, Analytics, Business, Interview, News, Technical, Use Case
  • No comments yet
Disrupting insurance: data-driven customer value

Why hasn't the insurance business been disrupted yet, and how could data be used to do this? Atidot has a go at addressing those questions.

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Devs are from Mars, Ops are from Venus: Can analytics bridge the gap?

  • ganadiotis
  • Mar 07, 2017
  • Analytics, Business, DevOps, Interview, News, Software Engineering, Technical
  • No comments yet
Devs are from Mars, Ops are from Venus: Can analytics bridge the gap?

Despite what they'd have you believe, Devs and Ops don't always get along nicely. Pepperdata and LinkedIn think data and analytics may be the way to educate and show the impact of code running in production.

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How to use blockchain to build a database solution

  • ganadiotis
  • Mar 02, 2017
  • Analysis, Blockchain, Databases, Featured, Interview, Technical
  • No comments yet
How to use blockchain to build a database solution

Why would you want to use blockchain to build a database solution? And how would you actually do that? BigchainDB has answers.

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Artificial intelligence in the real world: What can it actually do?

  • ganadiotis
  • Feb 22, 2017
  • AI / Machine Learning, Analysis, Conference, Data Science, Featured, Interview, Technical
  • No comments yet
Artificial intelligence in the real world: What can it actually do?

What are the limits of AI? And how do you go from managing data points to injecting AI in the enterprise?

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MapR, DataStax offer options for container persistence

  • ganadiotis
  • Feb 16, 2017
  • Cloud, Data Lakes & Warehouses, Interview, News, Technical
  • Hadoop
  • No comments yet
MapR, DataStax offer options for container persistence

If it's lack of options for persistence that's keeping you from using containers, maybe it's time you reconsider.

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Staying agile: data-driven IT operations

  • ganadiotis
  • Feb 09, 2017
  • Analytics, Interview, News, Observability, Technical
  • No comments yet
Staying agile: data-driven IT operations

Would you like to have an end-to-end picture of your IT operations, but are lost in translation among a myriad monitoring solutions and metrics? Your monitoring should be as agile as your operations, and OpsDataStore says it can help you get there.

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Streaming hot: Real-time big data architecture matters

  • ganadiotis
  • Jan 25, 2017
  • Analysis, Featured, Real-time Data, Technical
  • Hadoop
  • No comments yet
Streaming hot: Real-time big data architecture matters

What is streaming in big data processing, why you should care, and what are your options to make this work for you?

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