Data governance and context for evidence-based medicine: Transparency and bias in COVID-19 times
In the early 90s, evidence-based medicine emerged to make medicine more data-driven. Three decades later, we have more data, but not enough context, or transparency.
Read More →Garbage in, garbage out: Data science, meet evidence-based medicine
Did you ever wonder how data is used in the medical industry? The picture that emerges by talking to the experts leaves a lot to be desired.
Read More →Data Lakehouse, meet fast queries and visualization: Databricks unveils Delta Engine, acquires Redash
Data warehouses alone don't cut it. Data lakes alone don't cut it either. So whether you call it data lakehouse or by any other name, you need the best of two worlds, says Databricks. A new query engine and a visualization layer are the next pieces in Databricks' puzzle.
Read More →GoodData and Visa: A common data-driven future?
From user, to partner and investor. That's not a very common scenario for software vendors, especially if the user-cum-partner-investor is someone like Visa. GoodData is evolving more than its relationship with select users.
Read More →Open source observability, meet data transformation: Grafana 7.0 promises to connect, unify, and visualize all your data
Grafana Labs sets the bar for open source observability with Grafana 7.0: more developer friendly, more data sources, data transformation, and growth in the cloud and on premise
Read More →Optimizing hardware infrastructure with data and AI: Granulate scores $12 million Series A funding
How does boosting hardware performance between 20% and 80% sound? This is what startup Granulate promises.
Read More →Graph analytics and knowledge graphs facilitate scientific research for COVID-19
State of the art in analytics and AI can help address some of the most pressing issues in scientific research. Here is how top scientists are using them to facilitate coronavirus research.
Read More →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?
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 →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?
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