Dinesh Nirmal

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Breaking New Ground : A Unified Data Solution With Machine Learning, Speed and Ease Of Use

IBM Silicon Valley Lab
September 01, 2017 by Dinesh Nirmal in Machine Learning, Business of Tech

Imagine being able to arrive at your destination as much as 200 times quicker or being able to complete your most important tasks as much as 200 times faster than normal. That would be pretty impressive. What if you could get answers to your analytics queries that many times faster and run your machine learning algorithms with maximum efficiencies on your data by simply plugging in a pre-configured and pre-optimized system to your infrastructure?  That’s what the IBM Integrated Analytics Systems (IIAS) is designed to do.

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September 01, 2017 /Dinesh Nirmal
Unified Data Solution, Machine Learning, ML, algorithm, IBM Integrated Analytics Systems (IIAS), ground to cloud, hybrid data warehouse strategy, Apache™ Spark, IBM Data Science Experience (DSX), data science, Converging Analytics, Db2 Warehouse, PureData Systems, Analytics, Hadoop, IBM Power 8 technology, IBM Fluid Query
Machine Learning, Business of Tech

Opening up the Knowledge Universe: IBM Data Science Experience Comes to a Powerful, Open, Big Data Platform

IBM SIlicon Valley Lab
June 13, 2017 by Dinesh Nirmal in Analytics, Business of Tech

I have just finished presenting at the DataWorks Summit in San Jose. CA. where a partnership between IBM and HortonWorks was announced the aim of which is to help organizations further leverage their Hadoop infrastructures with advanced data science and machine learning capabilities. 

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June 13, 2017 /Dinesh Nirmal
Apache™ Hadoop®, Machine Learning, ML, AI, Artificial Intelligence, streaming analytics, graph analytics, SQL, Apache™ Spark™, data, ODPi, IBM Data Science Experience (DSX), Jupyter notebook, R Studio, Python, Spark, DSX, IBM, Data Science Experience, Dinesh Nirmal, Cognitive Insights, Hadoop Data Lakes, IBM ML and DSX, IBM Analytics Development
Analytics, Business of Tech
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