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

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.

Srini Bhagavan: Long-time IBMer, Long-Distance Runner, and PhD Hopeful

IBM SIlicon Valley Lab

October 24, 2018 by Dinesh Nirmal in People

For many of us who’ve been at IBM a while, the culture goes deep. It’s a culture of intelligence, respect, professionalism, and inclusion. And as an outgrowth of those things, it’s also a culture of generosity and altruism. Srini Bhagavanhas spent over 20 years at IBM, absorbing that culture. I like to think it’s part of why he’s now pursuing a PhD in computer science and bioinformatics, with the deliberate aim of saving lives.

Joanna Janusz: Tester, Tech Leader, Parent, and Life-long Learner

IBM SIlicon Valley Lab

October 10, 2018 by Dinesh Nirmal in People

Most of us strive to be life-long learners, but what does that mean in practice? For some, it means going deeper and deeper into our chosen field, refining our expertise in chemistry, carpentry, or cognitive science. For others, it means always exploring in new directions.

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.

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.

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.

IBM BigInsights Basic Plan Ready for a Successful Journey

IBM Silicon Valley Lab

September 08, 2016 by Dinesh Nirmal in Analytics, Business of Tech

It seems to me that more and more companies are adding Apache Hadoop to their mix of technologies in attempts to spend less time in the creation of an Hadoop infrastructure and focus more on gaining the benefits. IBM BigInsights (our implementation of Hadoop) is ready to take on that challenge. It provides a complete solution that is not only open and combines Hadoop and Spark, but also provides the right tools to help make Big Data easier and more scalable, while integrating it seamlessly with SQL, noSQL and other data types.

Apache Spark Continues to Forge Ahead with Help from IBM’s Spark Technology Center

IBM Silicon Valley Lab

August 16, 2016 by Dinesh Nirmal in Analytics, Business of Tech

Apache Spark™ puts both deep and broad advanced analytics capabilities in the hands of the masses. Whether a data scientist, data engineer, analytics app developer or citizen analyst – Spark delivers sophisticated analytics simpler, faster and more efficiently than ever before.

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.

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.

Why a Cloud First Strategy Can Benefit Customers with IBM BigInsights on Cloud

IBM

May 13, 2016 by Dinesh Nirmal in Analytics, Business of Tech

The origins of Apache™Hadoop® go as far back as 2003 in reference to the emergence of a new file system, followed by the introduction of MapReduce and the birth of Hadoop in 2006. It achieved notoriety and fame as the fastest system to sort a terabyte of data and when it became an Apache open source project (Apache Hadoop) it sent a signal that it was ready for prime time. The world never looked back.