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

Serge Bourbonnais: Data Replication in China, the Wisdom of Crowds, and Exploring Cities

IBM
April 08, 2019 by Dinesh Nirmal in People

With IBM’s annual THINK Conference now behind us, I’m remembering the people who drive the innovation and disruption we showcase there — the product of collective collaboration, individual leadership, and ideation from IBMers and other thinkers around the world. A perfect example within IBM Data and AI is Serge Bourbonnais, STSM, Database Replication, who has spent over three decades pushing teams to modernize the replication space.

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April 08, 2019 /Dinesh Nirmal
Dinesh Nirmal, IBM, IBMer, Great Wall of China, Cooking, Data, AI, ML, Fortune 500, Paris, Database Replication, IBM THINK Conference
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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Simao Liu: From China to the States - From IBM Intern to Manager and Engineer

IBM Silicon Valley Lab
September 19, 2018 by Dinesh Nirmal in People

As life moves forward day by day, sometimes it’s easy to forget how far we’ve come — personally, professionally, or both. Consider Simao Liu who came from Beijing to San Francisco just seven years ago for a master’s program in computer science. In her second year, she joined IBM as a QA intern and has spent the last six years making remarkable progress through the organization. 

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September 19, 2018 /Dinesh Nirmal
IBM, IBMer, Dinesh Nirmal, ML, China, AI, Unified Governance and Machine Learning for IBM Hybrid Cloud, data classification, data scientists, Machine Learning
People
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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

Piotr Gnysinski: QA Wizard, Former Farmhand, and Family Man

IBM Silicon Valley Lab
August 15, 2017 by Dinesh Nirmal in People

I originally started the “You in the Private Cloud” series as a way to introduce our talented team to each other across our many geographies. I knew it was important for us to know each other as more than email addresses or voices during meetings.

But I didn’t realize at the time that it would become one of the favorite parts of my job. I truly love settling in for great conversations with the terrific people working on IBM Analytics offerings across the globe.

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August 15, 2017 /Dinesh Nirmal
IBM, IBMer, Dinesh Nirmal, Information Governance Catalog, InfoSphere Information Server, IBM Analytics, Combinatorial Test Design, IT, ML, AI
People
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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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Jorge Castañon: The Data Scientist Who “Listens to the Problem”

IBM Silicon Valley Lab
March 14, 2017 by Dinesh Nirmal in People

My most recent in-flight reading was Thank You for Being Late. In it, Thomas Friedman says risk of AI isn’t that it’s going to take over humanity, HAL-like, but that we as humans could become so entranced by technology that we’ll neglect to teach it human values. It’s not machines v. humans or technology v. creativity. The more technology develops, the greater the opportunity to add to it our kindness, our fairness, and our creativity.

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March 14, 2017 /Dinesh Nirmal
Data Science, IBM Machine Learning Hub, IBM, IBMer, Innovation, Machine Learning, You and the Private Cloud, AI, ML, Artificial Intelligence, Analytics
People
1 Comment

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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Morgan Fritz: Industrial Design Grad, Fashion Designer, DSX Veteran

IBM Silicon Valley Lab
January 13, 2017 by Dinesh Nirmal in People

Our Chief Designer, David Townsend, takes new designers aside when they join our team and tells them, “This is the most complicated thing you’ll ever design. Don’t be afraid to ask dumb questions. And know that everything else in your career you design after this will be easy compared to what you’re about to do.”

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January 13, 2017 /Dinesh Nirmal
IBM, IBMer, Innovation, Machine Learning, You and the Private Cloud, AI, ML, Artificial Intelligence, Analytics, UX, User Experience, DSX design process, IBM Data Platform, UX for DSX
People
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Phu Truong: Humble Leader, Loves Logic, Hates Calculations

IBM Silicon Valley Lab
January 04, 2017 by Dinesh Nirmal in People

If you’ve seen the movie “Hidden Figures” — and if you haven’t I highly recommend you do, and not just because IBM is a central character — you’ve seen how the race to get a man into space was profoundly affected at the 11th hour by one courageous woman, and the help her boss, her friends, her teachers, and her family gave her to get to that one minute in time when she made a difference.

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January 04, 2017 /Dinesh Nirmal
IBM, IBMer, Innovation, Machine Learning, You and the Private Cloud, z Systems, AI, ML, Artificial Intelligence
People
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Kewei Wei: Lead Developer, China Native, History Buff

IBM Silicon Valley Lab
December 13, 2016 by Dinesh Nirmal in People

My founding principle for our organization is, “people first.” I believe that to build great products, you start with talented people and invest in their work and their individual well-being. The great products they make will in turn bring customers.

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December 13, 2016 /Dinesh Nirmal
IBM, IBMer, Innovation, Machine Learning, You and the Private Cloud, z Systems, AI, ML, Artificial Intelligence
People
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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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Using IBM Machine Learning to Help Solve Real World Business Problems

IBM Silicon Valley Lab
October 05, 2016 by Dinesh Nirmal in Machine Learning, Business of Tech

Billions of connected devices, zetabytes of data, power and brand loyalty now in the hands of the consumer, businesses having to market and sell to each and every one of us.  What just happened?  Three driving forces – mobile, cloud and a continuing explosion of data. Everything just got personal.

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October 05, 2016 /Dinesh Nirmal
Machine Learning, Artificial Intelligence, ML, AI, Dinesh Nirmal, Data
Machine Learning, Business of Tech
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Machine Learning for the Enterprise

IBM Silicon Valley Lab
August 06, 2016 by Dinesh Nirmal in Machine Learning, Business of Tech

In my last blog “Business differentiation through Machine Learning” I introduced and described the concepts of machine learning. We traced its origins from a computer science project to Watson showcasing and winning on the Jeopardy TV quiz show and its real world use across numerous industries including health care.

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August 06, 2016 /Dinesh Nirmal
Machine Learning, ML, Dinesh Nirmal, IBM, Data, Watson, SystemML, Apache™ Software Foundation, Watson Analytics, Natural Language Classifier, Retrieve and Rank, AlchemyVision, IBM Watson Healthcare Analytics Platform, flexible machine learning, Apache Spark™MLlib libraries, Commoditizing, Automating Machine Learning, Bluemix
Machine Learning, Business of Tech
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Business Differentiation through Machine Learning

IBM Silicon Valley Lab
June 02, 2016 by Dinesh Nirmal in Machine Learning, Business of Tech

I look at my child and marvel as he embraces the ever fast moving world around him, adapting to new experiences, grasping technology, absorbing a bombardment of information from so many sources.  It’s staggering to watch their progress from basic learning of just accepting facts they are taught, to augmenting those facts with their own knowledge, to asking questions, using their knowledge to express their opinions and values to others, then challenging facts and hypotheses that they once accepted to adapting their knowledge, understanding, decisions and value systems.

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June 02, 2016 /Dinesh Nirmal
Machine Learning, ML, Dinesh Nirmal, IBM, Data, Watson, SystemML, Apache™ Software Foundation, Watson Analytics, Natural Language Classifier, Retrieve and Rank, AlchemyVision, IBM Watson Healthcare Analytics Platform, flexible machine learning, pache Spark™MLlib libraries
Machine Learning, Business of Tech
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