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Home / Articles / Analysis / Page 7

Building MLGUI, user interfaces for machine learning applications

  • ganadiotis
  • Jul 19, 2021
  • AI / Machine Learning, Analysis, Featured, Interview, Technical
  • No comments yet
Building MLGUI, user interfaces for machine learning applications

Machine learning is eating the world, and spilling over to established disciplines in software, too. After MLOps, is the world ready to welcome MLGUI (Machine Learning Graphical User Interface)?

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Open-source growth and venture capital investment: Data, databases, challenges, and opportunities

  • ganadiotis
  • Jul 07, 2021
  • Analysis, Business, Data, Featured, Interview, Open Source, Technical
  • No comments yet
Open-source growth and venture capital investment: Data, databases, challenges, and opportunities

Open-source software used to be poorly understood by commercial forces, and it's often approached in a biased way. A new generation of investment funds goes to show that things are changing.

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More than words: Shedding light on the data terminology mess

  • ganadiotis
  • Jun 22, 2021
  • Analysis, Business, Data Governance, Interview, MLOps, Observability, Technical
  • No comments yet
More than words: Shedding light on the data terminology mess

Data management, data governance, data observability, data fabric, data mesh, DataOps, MLOps, AIOps. It's a data terminology mess out there. Let's try and untangle it, because there's more to words than lingo.

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Machine learning at the edge: TinyML is getting big

  • ganadiotis
  • Jun 07, 2021
  • AI / Machine Learning, Analysis, Business, Interview, Technical
  • No comments yet
Machine learning at the edge: TinyML is getting big

Being able to deploy machine learning applications at the edge is the key to unlocking a multi-billion dollar market. TinyML is the art and science of producing machine learning models frugal enough to work at the edge, and it's seeing rapid growth.

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Graphs as a foundational technology stack: Analytics, AI, and hardware

  • ganadiotis
  • May 28, 2021
  • Analysis, Business, Data, Featured, Graph, innovation, Interview, Technical
  • No comments yet
Graphs as a foundational technology stack: Analytics, AI, and hardware

How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in trying to keep up with demand, probably.

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Open-source software economics and community health analytics: Enter CHAOSS

  • ganadiotis
  • May 03, 2021
  • Analysis, Analytics, Business, Featured, Interview, Open Source, Socio-Technical
  • No comments yet
Open-source software economics and community health analytics: Enter CHAOSS

Trying to capture the value open-source software generates can be a bit chaotic. The CHAOSS project may lend a helping hand.

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Open source AI stack is ready for its moment

  • ganadiotis
  • Apr 27, 2021
  • AI / Machine Learning, Analysis, Business, Featured, Interview, Open Source, Socio-Technical, Technical
  • No comments yet
Open source AI stack is ready for its moment

Open source stacks enabled software to eat the world. Now several innovative companies are working to build a similar open source software stack for AI development.

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Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL

  • ganadiotis
  • Apr 07, 2021
  • AI / Machine Learning, Analysis, Business, Databases, Graph, Interview, Open Source, Technical
  • No comments yet
Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL

Google uses machine learning and graphs to deliver search results. Most search engines do not. Weaviate wants to change that.

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Databases, graphs, and GraphQL: The past, present, and future

  • ganadiotis
  • Mar 30, 2021
  • Analysis, Databases, Graph, Interview, Open Source, Technical
  • No comments yet
Databases, graphs, and GraphQL: The past, present, and future

GraphQL was never conceived as a query language for databases. Yet, it's increasingly being used for this purpose. Here's why, and how.

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Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond

  • ganadiotis
  • Feb 16, 2021
  • Analysis, Analytics, Data Science, Featured, Knowledge Graphs, Open Data, Socio-Technical, Use Case
  • No comments yet
Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond

A new interconnected ecosystem for research is shaping up, and machine learning is just the tip of the iceberg.

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