Comments for ODBMS Industry Watch http://www.odbms.org/blog Trends and Information on Big Data, New Data Management Technologies, Data Science and Innovation. Tue, 20 Dec 2016 11:47:00 +0000 hourly 1 http://wordpress.org/?v=4.2.13 Comment on Big Data and The Great A.I. Awakening. Interview with Steve Lohr by Giovanni Panzeri http://www.odbms.org/blog/2016/12/big-data-and-the-great-a-i-awakening-interview-with-steve-lohr/#comment-465 Tue, 20 Dec 2016 11:47:00 +0000 http://www.odbms.org/blog/?p=4274#comment-465 “AI is akin to building a rocket ship. You need a huge engine and a lot of fuel. The rocket engine is the learning algorithms but the fuel is the huge amounts of data we can feed to these algorithms.” by Andrew Ng

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Comment on Machines of Loving Grace. Interview with John Markoff. by Keith Duddy http://www.odbms.org/blog/2016/08/machines-of-loving-grace-interview-with-john-markoff/#comment-453 Fri, 26 Aug 2016 13:48:12 +0000 http://www.odbms.org/blog/?p=4190#comment-453 [a repeat of a private message to Roberto to encourage you to see some Alan Curtis material – if you have not done so already]

this subject line sparked an immediate interest for me, based on my love of Alan Curtis (BBC) and his documentaries.

He did a series called “All Watched Over by Machines of Loving Grace” a few years back. It’s in four parts in which he draws some fascinating links between neoconservatism and the hippy culture, as well as a damning critique of “ecology” from it’s 19th century roots up until computer simulations in the 60s & 70s of “ecosystems”. Gripping polemical journalism made to the background of BBC archival footage and very interesting music. Get it from somewhere!

He has a more sinister take on the subject Machines of Loving Grace (thus interview is a little more technotopian).

I commend to you http://www.bbc.co.uk/blogs/adamcurtis
And his entire ouvre. If you have a VPN that lets you be on a UK IP Address, then I also suggest the BBC iView-only release of “Bitter Lake” – a history of Afghanistan (a promo is the last post of the blog above). This is a new style of what I call “ambient documentary”. It’s long and lyrical, and very touching/confronting in that he shows the edited out parts of the rushes of the BBC news footage of “our” Afghani war, and lots of much older stuff.

I hope you have some time to investigate Alan…

best,
…|<

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Comment on Machines of Loving Grace. Interview with John Markoff. by Roberto V. Zicari http://www.odbms.org/blog/2016/08/machines-of-loving-grace-interview-with-john-markoff/#comment-450 Fri, 19 Aug 2016 23:26:24 +0000 http://www.odbms.org/blog/?p=4190#comment-450 Hi Gregory
thank you. Interesting comment.

Best,
Roberto

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Comment on Machines of Loving Grace. Interview with John Markoff. by Gregory Piatetsky http://www.odbms.org/blog/2016/08/machines-of-loving-grace-interview-with-john-markoff/#comment-449 Fri, 19 Aug 2016 20:56:32 +0000 http://www.odbms.org/blog/?p=4190#comment-449 Nice interview! Ben Shneiderman suggestion: it is essential to keep a human in the loop – may be desirable, but in my opinion is unrealistic.

Google first version of self-driving car had a steering wheel and brake but in the latest version there is no steering or brake, only a big START/STOP button, because Google found that humans are not able to be always in the loop.

If something can be partially automated, it will eventually be fully automated.

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Comment on LinkedIn China new Social Platform Chitu. Interview with Dong Bin. by Roberto V. Zicari http://www.odbms.org/blog/2016/08/linkedin-china-new-social-platform-chitu-interview-with-dong-bin/#comment-446 Sat, 06 Aug 2016 17:08:56 +0000 http://www.odbms.org/blog/?p=4181#comment-446 Thank you Luca for your feedback. I will pass on this to Dong Bin.

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Comment on LinkedIn China new Social Platform Chitu. Interview with Dong Bin. by Luca Garulli http://www.odbms.org/blog/2016/08/linkedin-china-new-social-platform-chitu-interview-with-dong-bin/#comment-445 Sat, 06 Aug 2016 10:47:31 +0000 http://www.odbms.org/blog/?p=4181#comment-445 What does mean Dong Bin with “it is not native graph storage, which make concern about performance”? OrientDB is a “native” Graph Database in the same meaning Neo4j gives to this word: https://neo4j.com/blog/native-vs-non-native-graph-technology/. OrientDB saves references to the vertices as pointers, like Neo4j. There are no run-time JOINs. This is inaccurate.

I’m sorry that LinkedIn didn’t even give to OrientDB a chance because they misinterpret the definition of “Native”. The differences are explained here: http://orientdb.com/orientdb-vs-neo4j/.

(Disclaimer: I’m the author of OrientDB)

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Comment on Cloud based hotel management– Interview with Keith Gruen by Justine Putot http://www.odbms.org/blog/2013/07/cloud-based-hotel-management-interview-with-keith-gruen/#comment-427 Tue, 24 May 2016 03:26:00 +0000 http://www.odbms.org/blog/?p=2362#comment-427 Hi Roberto,

Great post! Very informative
Thank you for sharing this resource
Keep up the great work :)

Cheers,
Justine

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Comment on On Hadoop RDBMS. Interview with Monte Zweben. by Roberto V. Zicari http://www.odbms.org/blog/2014/11/hadoop-rdbms-interview-monte-zweben/#comment-297 Mon, 03 Nov 2014 17:39:20 +0000 http://www.odbms.org/blog/?p=3530#comment-297 Hi Mark,
thank you for this comment, but I believe it would be more useful if you would leave a comment specifically related to any of the answers.
I am sure Monte Zweben would then reply.
Best Regards
Roberto

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Comment on On Hadoop RDBMS. Interview with Monte Zweben. by Mark Callaghan http://www.odbms.org/blog/2014/11/hadoop-rdbms-interview-monte-zweben/#comment-296 Mon, 03 Nov 2014 14:17:09 +0000 http://www.odbms.org/blog/?p=3530#comment-296 This would be more interesting if you asked harder questions or questioned the responses. Otherwise this reads like an ad for a closed-source DBMS.

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Comment on Big Data: Three questions to Aerospike. by Brian Bulkowski http://www.odbms.org/blog/2014/03/big-data-three-questions-to-aerospike/#comment-287 Fri, 24 Oct 2014 21:51:56 +0000 http://www.odbms.org/blog/?p=2861#comment-287 Brian here again —

We’ve released our Aerospike Hadoop integration, that allows you to easily use Aerospike as your Hadoop datastore. It’s location-aware, so you can run MapReduce without network traffic, or you can real-time emit to Aerospike to use your insights in applications _immediately_.

http://github.com/aerospike/aerospike-hadoop

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