Dinesh Nirmal

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Ahsan Rehman: Infectious Enthusiasm

IBM Silicon Valley Lab
October 10, 2019 by Dinesh Nirmal in People

We’ve all had the experience: Every so often, you meet someone whose passion shines through in everything he says and does — which reignites your commitment to your own direction and goals. Anyone who’s met Ahsan Rehman will know what I mean. As you’ll see in the course of our conversation, his energy is profound and infectious, growing from a commitment to IBM, its opportunities, its vision, and its culture of respect and inclusion. 

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October 10, 2019 /Dinesh Nirmal
machine learning, ML, AI, IBM, IBMer, Inclusion, GBS
People
3 Comments

Ride the Wave: Taking Inspiration from the 2019 Think Conference

IBM SIlicon Valley Lab
February 22, 2019 by Dinesh Nirmal in Analytics

Every spring, IBM hosts our enormous Think Conference with days of lightning sessions, labs, workshops, presentations, and predictions from some of the smartest people in the world. Every year I come away amazed by what our customers are conceiving and achieving and by the role that we at IBM are able to play. 

Watch my latest keynote from IBM Think 2019: Modernizing Your Data Estates for an AI and Multicloud World, where I talk about the path to data estate modernization, with David Bernert, VP Enterprise Architecture, Boeing.

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February 22, 2019 /Dinesh Nirmal
THINK 2019, IBM, IBMer, Dinesh Nirmal, ML, machine learning, Analytics, Data and AI, Artificial Intelligence, Disruption
Analytics
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The Five Pillars of Fluid ML

IBM Silicon Valley Lab
July 20, 2018 by Dinesh Nirmal in Machine Learning, Business of Tech

A few months ago, I was talking with the CTO of a major bank about machine learning. At one point he shook his head ruefully and said, “Dinesh, it only took me 3 weeks to develop a model. It’s been 11 months, and we still haven’t deployed it.”

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July 20, 2018 /Dinesh Nirmal
three pillars, Fluid ML, machine learning, algorithms, languages, data sets, tools, data, Jupyter, Zeppelin, continuous learning, data science, on-prem, cloud, multi-cloud, high-performance CPUs, O’Reilly Strata Data Conference, data pipelines, governance, Managed, Resilient, Performant, Measurable, Continuous
Machine Learning, Business of Tech
1 Comment

Db2 for z/OS – Thirty-Five and Still Hip

IBM Silicon Valley Lab
April 24, 2018 by Dinesh Nirmal in Analytics, Business of Tech

Db2 for z/OS is one the most business-critical products in the IBM portfolio and remains core to many transaction processing, advanced analytics, and machine learning initiatives.

Looking back…

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April 24, 2018 /Dinesh Nirmal
Db2, z/OS, IBM portfolio, transaction processing, advanced analytics, machine learning, Sequel, SQL, online transactional processing (OLTP), IBM WebSphere, data, IBM Z analytics portfolio, continuous data, CPU, Internet of Things (IoT), smart meters, Cognos, SPSS, QMF, ML for z/OS, IBM DB2 Analytics Accelerator, A.I., M.L., Artificial Intelligence, Machine Learning for z/OS, data science, Data Gravity, IBM Data Science Experience, hybrid cloud, IBM Fellow
Analytics, Business of Tech
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Should’ve, Could’ve, Would've - Making the Optimal Decision

IBM Silicon Valley Lab
November 28, 2016 by Dinesh Nirmal in Machine Learning, Business of Tech

In a previous blog I talked about the value of machine learning and how it could help organizations by making smarter predictions by continually learning and adapting models as it consumed new interactions, transaction and data.  I compared that to how my son embraced learning about the world around him to become gradually smarter, more knowledgeable.  But that doesn’t always mean he is going to make the best decision because he may not have all the information or foresee or correlate past events.

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November 28, 2016 /Dinesh Nirmal
machine learning, Artificial Intelligence, ML, AI, IBM, Dinesh Nirmal, Optimization, IBM Decision Optimization R&D team, Cognitive Optimization, Data, Watson, data science experience (DSX)
Machine Learning, Business of Tech
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