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Showing posts from March, 2019

How IBM is Rethinking its Data Protection Line-Up

Following up on my take on the evolution of product and strategy of companies like Cohesity and NetApp , today I’d like to talk about IBM and its new data protection solution Spectrum Data Protect Plus . IBM AND ITS DATA PROTECTION LINE-UP In short, not too long ago IBM changed the names of all its storage products. I totally understand why they did it and it makes a lot of sense from a marketing point of view, but it is still confusing for people like myself that were familiar with the products before this change. Besides, with products now having similar names, it could be difficult to discern who does what. In this particular case, data protection, you now have two products: IBM Spectrum Data Protect: the good, old, TSM. While this product is one of those that have written Backup’s history and supports a myriad of Operating Systems and applications as well as backup, it is complex to operate and designed for large environments. Furthermore, it was designed well before the adven
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NetApp NDAS Integrate On-Premises & Cloud as One

At the end of February 2019, at Storage Field Day 18 , NetApp presented another tool aimed at integrating its on-premises solutions with the cloud, NetApp Data Availability Service (NDAS). As already mentioned in a previous post , this tool might be somewhat immature, but it has huge potential if developed in the right way. TWO WORDS ABOUT NDAS Long story short, NDAS takes advantage of snap mirror functionalities available on NetApp Arrays and syncs volumes to the cloud. The cool part is that the content of the volumes is converted into objects (taking advantage of AWS S3). In the short term, it’s all about saving money because S3 is way cheaper than Elastic Block Storage (EBS), but the real deal comes from the fact that data stored in this format is much more re-usable for a major number of use cases, including index and search, ransomware protection, analytics and so on. Take a look at the videos recorded during their SDF18 session to have an idea of what I’m talking about. N
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Aviation Experts Have Predicted Automation Will Lead to Disasters Like the Boeing Max Crashes for 15 Years

The combination of an unfamiliar, potentially faulty automation system and an unprepared crew led to exactly what experts have been trying to warn us about. from gizmodo http://www.gizmodo.co.uk/2019/03/aviation-experts-have-predicted-automation-will-lead-to-disasters-like-the-boeing-max-crashes-for-15-years/
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Voices in AI – Episode 83: A Conversation with Margaret Mitchell

[voices_in_ai_byline] About this Episode Episode 83 of Voices in AI features host Byron Reese and Margaret Mitchell discussing the nature of language and it’s impact on machine learning and intelligence. Listen to this one-hour episode or read the full transcript at www.VoicesinAI.com Transcript Excerpt Byron Reese: This is Voices in AI brought to you by GigaOm and I’m Byron Reese. Today my guest is Margaret Mitchell. She is a senior research scientist at Google doing amazing work. And she studied linguistics at Reed College and Computational Linguistics at the University of Washington. Welcome to the show! Margaret Mitchell: Thank you. Thank you for having me. I’m always intrigued by how people make their way to the AI world, because a lot of times what they study in University [is so varied]. I’ve seen neuroscientists, I see physicists, I see all kinds of backgrounds. [It’s] like all roads lead to Rome. What was the path that got you from linguistics to computational linguis
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