Linked Data Orchestration

Got Tech, Data, AI and Media, and not afraid to use them
  • ABOUT
  • SERVICES
    • ANALYSIS
    • CONSULTING
    • CONTENT
    • DATA MODELING
    • EVENTS
    • PRODUCT MGMT
    • R&D
    • TEAM LEADERSHIP
    • TRAINING
      • Pragmatic AI Training
  • WORK
    • ARTICLES
      • FEATURED
      • BY TYPE
      • BY FOCUS
      • BY TOPIC
    • BOOK
    • PODCAST
    • PUBLICATIONS
  • Orchestrate all the Things
    • NEWSLETTER
    • PODCAST
  • CONTACT
  • focus
  • default
Home / 2020 / March

Make Apache Cassandra great again: DataStax going cloud, Kubernetes, open source, and multi-model

  • ganadiotis
  • Mar 31, 2020
  • Business, Cloud, Databases, Interview, News, Open Source, Technical
  • No comments yet
Make Apache Cassandra great again: DataStax going cloud, Kubernetes, open source, and multi-model

Actions and words, code and advocacy. DataStax is changing strategy, re-engaging with the Apache Cassandra open source community, and releasing some interesting technical advancements while at it, too.

Read More →

Business intelligence, meet graph. Neo4j introduces BI connector for data discovery tools

  • ganadiotis
  • Mar 24, 2020
  • Analytics, Databases, Graph Databases, Interview, News, Technical
  • No comments yet
Business intelligence, meet graph. Neo4j introduces BI connector for data discovery tools

Mixing graph and relational data is now even more accessible. What does this mean for analytics, and for graph databases specifically?

Read More →

Data science vs the COVID-19 pandemic: Flattening the curve — but how?

  • ganadiotis
  • Mar 20, 2020
  • Analysis, Analytics, Data Science, Featured, Socio-Technical, Use Case
  • No comments yet
Data science vs the COVID-19 pandemic: Flattening the curve — but how?

Whether they are epidemiologists or not, a few people have attempted to use data and predictive models to model the COVID-19 pandemic. Let's look at the models, the data, and the assumptions and implications that come with them

Read More →

Graph analytics for the people: No code data migration, visual querying, and free COVID-19 analytics by TigerGraph

  • ganadiotis
  • Mar 16, 2020
  • Graph Analytics & Data Science, Graph Databases, Interview, News, Technical
  • No comments yet
Graph analytics for the people: No code data migration, visual querying, and free COVID-19 analytics by TigerGraph

Graph databases and analytics are getting ever more accessible and relevant

Read More →

Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults

  • ganadiotis
  • Mar 10, 2020
  • AI / Machine Learning, Analysis, Analytics, Business, Interview, Technical, Use Case
  • No comments yet
Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults

What are customer insults, and what does machine learning have to do with it?

Read More →

Data science vs social media disinformation: the case of climate change and the Australian bushfires

  • ganadiotis
  • Mar 04, 2020
  • Analysis, Data Science, Social Media, Socio-Technical, Use Case
  • No comments yet
Data science vs social media disinformation: the case of climate change and the Australian bushfires

While a newly released World Weather Attribution study ties the Australian bushfires to anthropogenic climate change, disinformation on social media abounds

Read More →

Universal Code Search gets a boost: Sourcegraph secures $23 million Series B Round funding

  • ganadiotis
  • Mar 03, 2020
  • Business, Graph, Interview, News, Software Engineering, Technical
  • No comments yet
Universal Code Search gets a boost: Sourcegraph secures  million Series B Round funding

Sourcegraph wants to be the Google of code, even though code search is harder than web search

Read More →

Recent Posts

  • From Raw Performance to Price Performance: A Decade of Evolution at ScyllaDB
  • The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems, And How You Can Too
  • Knowledge Graphs as the essential truth layer for Pragmatic AI
  • The Six Pillars of AI Literacy: From Regulatory Compliance to Hands-on AI
  • Are we entering the era of Peer to Peer AI? Long views on AI, Part 3
Designed by HooThemes.