Dinesh Nirmal

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Michal Bodziony: Bee Keeper, Architect for Security, and Sailor

IBM Silicon Valley Lab
September 12, 2018 by Dinesh Nirmal in People

I love my trips to IBM’s Krakow Lab. The city’s Old Town is alive with music pouring out of cathedrals, students strolling the Main Square in the evenings, and rowing teams slicing through the Wisla River at dawn — all watched over by a 14thc. castle on Wawell Hill. 

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September 12, 2018 /Dinesh Nirmal
IBM, IBMer, Private Cloud, You and the Private Cloud, Dinesh Nirmal
People
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IBM Machine Learning for z/OS – Like No Other

IBM Silicon Valley Lab
February 13, 2017 by Dinesh Nirmal in Machine Learning, Business of Tech

With many of the top banks, retailers, and insurance organizations using IBM® z Systems® , combined with tried and tested virtualization capabilities, EAL5+ security rating and the ability to handle billions of transactions a day[1], the platform becomes attractive as a private cloud for running advanced analytics as well as cloud managed services.

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February 13, 2017 /Dinesh Nirmal
IBM Machine Learning for z/OS, IBM, Machine Learning, ML, z/OS, Private Cloud, z Systems, Cloud Managed Services, IBM® z Systems®, AI, Artificial Intelligence, Apache Spark™, IBM Spark Technology Center, Analytics, SparkML, TensorFlow™, H20, IBM Cognitive Assistance for Data Scientists (CADS), IBM Machine Learning “Hub”
Machine Learning, Business of Tech
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Welcome to the Private Cloud

IBM Silicon Valley Lab
January 31, 2017 by Dinesh Nirmal in Machine Learning, Business of Tech

Readers of this blog know that I like to imagine the world through the eyes of my young son. His effort to find the right balance of exploration and safety resonates with what we mean by “private cloud” and preparing clients for a hybrid cloud environment: private plus public.

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January 31, 2017 /Dinesh Nirmal
Private Cloud, Public Cloud, Hybrid Cloud Environment, Internal Cloud, Dedicated Cloud, Corporate Cloud, Dinesh Nirmal, IBM, Enterprise, Behind the Firewall, Data, Analytics, API, Virtualization, Federation, Data Fabric, Innovation, Investment
Machine Learning, Business of Tech
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