AI chips for big data and machine learning: Hard choices in the cloud and on-premise
How can GPUs and FPGAs help with data-intensive tasks such as operations, analytics, and machine learning, and what are the options?
Read More →Data-driven disaster relief: Measuring the impact of emergency response
With natural disasters picking up in frequency and intensity, the role of NGOs in disaster relief is picking up as well. A key requirement for all NGOs is transparency, and applying data-driven techniques may help.
Read More →Zen and the art of data structures: From self-tuning to self-designing data systems
Designing data systems is something few people understand, and it's very hard and costly. But that, too, could be automated, says new research from Harvard, and we're about to start seeing it in real life.
Read More →Radio data and the future of broadcasters: Using attribution analysis to measure consumer behavior
Is it possible to determine how effective radio advertising really is? TagStation says yes, using a method called attribution analysis, and this may be key for the future of broadcasters.
Read More →MemSQL 6.5: NewSQL with autonomous workload optimization, improved data ingestion and query execution speed
MemSQL wants to be the world's best database. Leading that race is a tall order, but the new version seems to improve on an already strong offering.
Read More →Choosing a Graph Database. The Year of the Graph Newsletter Vol. 4, July 2018
What is a graph database? Do you really need one, and if yes, how do you choose? That’s what it all comes down to. This month’s edition of the Year of the Graph newsletter is special. Apart from the usual hubbub, which is somewhat slower this time of year, this month the Year of the […]
Read More →The best programming language for data science and machine learning
Hint: There is no easy answer, and no consensus either.
Read More →Data-driven software development in the cloud: Trends, opportunities, and threats
Software development has been fundamentally changing. It's following the data and going to the cloud. What should organizations be aware of to make the most of it?
Read More →Moving fast without breaking data: Governance for managing risk in machine learning and beyond
How do you resolve the tension between the need to build and deploy accurate machine learning models fast, and the need to understand how those models work, what data they touch upon, and what are the implications? Immuta says data governance is the answer.
Read More →GraphQL for databases: A layer for universal database access?
GraphQL is a query language mostly used to streamline access to REST APIs. Now, a new breed of GraphQL implementations wants to build an abstraction layer for any database on top of GraphQL, and it seems to be catching up.
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