Keynotes
Opening Remarks at IBM TechXchange Summit EMEA Barcelona 2024
The recipe for lasting success with generative AI — starting with data and open source models — and the 5 truths of generative AI.
Keynote at IBM TechXchange 2023
Demystifying generative AI using followed by a conversation with Sean Im, President and CEO of Samsung SDS on their zero touch mobility initiative and an “aha” moment: it’s all about the data.
Opening Remarks and Fireside Chat at Bloomberg’s Intelligent Automation: Creating the Workforce of the Future event, Singapore 2022
"If everything in life is a workflow then life can be automated." New technologies and insights into intelligent automation, and a discussion with Alex Costa of PROS.
Keynote at The AI Summit San Francisco 2019:
New AI Frontiers Data, AR, and Quantum
What's beyond the standard applications of AI? Dinesh Nirmal discusses cutting edge AR for model explainability and new technology for building fair and open AI, Quantum, and new enterprise challenges. With Abe Asfaw from IBM Quantum and Associated Bank's Steve Lueck.
Keynote at O'Reilly AI Conference San Jose 2019:
Trusted AI: A holistic approach to production AI
AI is critical for business, but there’s no AI without trust and fairness. And people don’t trust what they don’t understand. In this keynote, Dinesh Nirmal shows bias cropping up in an unlikely place, and shares a framework for building fair and open AI.
Keynote at Strata Data San Francisco 2019:
Streamlining Your Data Assets: A Strategy for the Journey to AI
In this keynote, Dinesh Nirmal shares a data asset framework that incorporates current business structures and the elements you need for an AI-fluent data platform.
Keynote at IBM Think 2019:
Modernizing Your Data Estates for an AI and Multicloud World
A new wave of economic revolution is underway, driven by advancements in AI and multicloud technologies. Leading businesses are crafting strategic plans to modernize data estates for this emerging reality. IBM’s Dinesh Nirmal talks about the path to data estate modernization, with David Bernert, VP Enterprise Architecture, Boeing.
Keynote at Strata Data New York 2018:
Decoding Regulations Using Machine Learning
IBM Analytics’s Dinesh Nirmal solves school lunch and the struggle to keep ahead of regulations. With AI tech like deep learning and NLG, supplying meals to California’s kids leaps from enriching metadata for compliance to actionable insights for the business.
Keynote at Strata Data San Jose 2018:
Operationalizing Machine Learning
The rules of business are being rewritten because of abundant data and compute power, and machine learning research and incubation projects are everywhere. Less common, and far more valuable, is the innovation unlocked once you bring machine learning out of research and into production.
Keynote at Strata Data San Jose 2017:
Machine Learning is Not Just About Model Development
Which is more important: the model or the data? Dinesh Nirmal explains how your data can help you build the right cognitive systems to learn about, reason with, and engage with your customers.
Media
MarketWatch: Opinion: IBM could be a trend-setter by offering customer protection on its AI offerings 10.04.2023
MarketWatch Columnist Therese Poletti shares thoughts from Dinesh Nirmal, SVP Products, IBM Software, on giving customers intellectual-property protections for the models developed by IBM to make it easier to bring generative AI into business applications and workflows. Read More.
IBM TechXchange Summit EMEA 01.22.2024
Dinesh Nirmal, Senior Vice President, Products, IBM Software, speaks with Elías Zamora from Sevilla FC to discuss Scout Advisor, a Generative AI solution to recruit players co-created with IBM. Watch.
Techzine: How do you roll out GenAI in enterprise environments? 02.09.2024
IBM’s enterprise AI stack makes it possible to deploy and deploy GenAI in enterprise environments, but it is important to set it all up using a “recipe for success for AI in enterprise”. Read More.
The Wall Street Journal: New Jobs for Humans in the AI Era 10.05.2023
The Wall Street Journal markets reporter Bob Henderson shares thoughts from Dinesh Nirmal, Senior Vice President, Products, IBM Software on enterprise AI and why it’s all about explainabiltiy. Read More.
VENTUREBEAT: How to get started with intelligent automation 01.20.2023
The road to creating a successful, long-standing business is full of challenges. AI and automation can be used to better prepare for the unpredictable. Read More.
The importance of Governance: What We’re Learning from AI Advances in 2022 12.16.2022
Adoption of AI is increasing, and research and AI development on foundation models is enabling use cases like generative AI to become even more sophisticated and powerful. The potential is vast. Read More.
How Data, AI and Automation Can Transform the Enterprise 12.16.2022
Today’s data leaders must ensure that data strategy aligns to business strategy. With Global Chief Data Officer Inderpal Bhandari. Read More.
The Wall Street Journal: IBM Exec: 7 Places to Start Using Intelligent Automation 11.09.2022
The tools are already out there, but a holistic view of the enterprise is key for revealing what percentage of the enterprise is digitized, what percentage ought to be automated, which tools could help, and what cultural changes are needed along the way. Read More.
TECHRADAR: The Computers that Talk Like Us: How Conversational AI Could Change Lives, for Better and Worse 08.21.2022
Many organizations approach AI from the lens of a company problem that needs to be solved, when really we all need to be considering the human problem. Read More.
VENTUREBEAT: The Emergence of the Chief Automation Officer 08.21.2022
From new AI opportunities to addressing the skills gap, the Chief Automation Officer can select the right automation strategy for each business imperative. Read More.
AI BUSINESS: The Business Impact of AIOps and Observability 07.12.2022
New technologies have brought us to an inflection point for automation — one with vast potential. Read More.
IBM’s Dinesh Nirmal On Turbonomic Deal, AI’s Obstacles, And How Partners Are ‘Huge’ In Big Blue’s Business Automation Strategy 04.30.2021
Why IBM is building a single automation platform built on Red Hat OpenShift., rather than just giving customers RPA, process mining ,or app integration.
TechCrunch: IBM is acquiring cloud app and network management firm Turbonomic for up to $2B 04.29.2021
“We believe that AI-powered automation has become inevitable, helping to make all information-centric jobs more productive”: Dinesh Nirmal, GM IBM Automation, shares thoughts on AI and Automation with TechCrunch reporter Ingrid Lunden. Read More.
Momentum builds for AI-Powered Automation: IBM Acquires MyInvenio 04.15.2021
This journey to AI-powered automation is just beginning for many organizations, but the potential is clear — the IBM Institute for Business Value estimates that automation supported by AI will generate billions of dollars in labor value in 2022. Read More.
IBM CLOUD: Unlocking Value with AI-Powered Automation 01.05.2021
New technologies have brought us to an inflection point for automation — one with vast potential. Read More.
SDTIMES: IBM's Dinesh Nirmal on how to migrate successfully to the hybrid cloud 12.22.2020
Skills, experience, and defining an architecture matter when you implement hybrid cloud architecture. Listen.
ZDNET: IBM's Dinesh Nirmal: 'Every company is trying to automate their enterprise', 09.22.2020
IBM hybrid cloud efforts revolve around a hefty dose of automation, an API ecosystem and using artificial intelligence to bridge clouds and applications. Read More.
SD TIMES: Augmented Intelligence Will Help, Not Replace, Human Workers, 03.05.2020
Augmented intelligence is growing as an approach to artificial intelligence, in a way that helps humans complete tasks faster, rather than being replaced by machines entirely. Read More.
STAPLES WORKLIFE MAGAZINE: Artificial Intelligence Has Arrived! (Sort of), 07.26.2019
Artificial intelligence is here. From social media marketing to closing the deal, find out how it can help your business. Read More.
IBM BIG DATA & ANALYTICS HUB: Making Data Simple - Enterprise Insight with Dinesh Nirmal, 05.14.2019
On Making Data Simple, Dinesh Nirmal and Host Al Martin discuss the new, emerging technologies that drives them while providing their own definitions of team building and success. Listen now.
FORBES: 5 Artificial Intelligence Business Lessons From The Masters, 07.10.2018
The big data and analytics market continues to morph as Artificial Intelligence (AI) fields, such as machine learning and deep learning, provide new ways to generate business insights. Read more.
INDIAPOST: Consul General Visits IBM, Talks of Technology for Greater Good, 06.13.2018
The Indian Consul General (CG), Mr. Venkatesan Ashok, visited the IBM Silicon Valley Lab in San Jose, California on Tuesday, June 5. Read more.
Keeping up with AI and Data Science Trends 05.22.2018
Not surprisingly, the topics and tools around deep learning (DL) still top the list of big trends, and top-notch research in math and computation are driving progress across vision, speech and text. Read More.
VENTUREBEAT: IBM Outlines the 5 Attributes of Useful AI, 04.21.2018
A few weeks ago, a dejected CTO told me it took his team three weeks to build a machine learning model. 11 months later, the model was still sitting on a shelf. By Dinesh Nirmal. Read more.
IBM BIG DATA & ANALYTICS HUB: Learning ML? Six Articles You Don't Want to Miss, 09.28.2017
Digital disruption has revolutionized the way we live and do business — and machine learning is the latest wave of that revolution. By Dinesh Nirmal. Read more.
INFOWORLD: How Machine Learning Can Be a Pathway to Compliance, 07.13.2017
In less than a year, the General Data Protection Regulation (GDPR) will go into effect across Europe. By Dinesh Nirmal. Read more.
IBM ANALYTICS INSIDE MACHINE LEARNING: Machine Learning and Governance, 06.05.2017
I recently had a chance to visit with Seth Dobrin, the new Vice President and Chief Data Officer for IBM Analytics. By Dinesh Nirmal. Read more.
IBM ANALYTICS INSIDE MACHINE LEARNING: Machine Learning and the Science of Choosing, 03.20.2017
Decisions can be fatiguing and prone to bias, not just for individuals but for whole organizations. By Dinesh Nirmal. Read more.
Interviews
Dinesh Nirmal interview with The Cube at IBM Think 2020
Dinesh Nirmal, Chief Product Officer, Cloud Paks, IBM sits down with Stu Miniman for IBM Think 2020.
IBM | Learning is Everywhere
Dinesh sits down with Dave Vellante and John Walls at the IBM Machine Learning Everywhere, build your ladder to AI event in New York City, Feb 2018.
Dinesh Nirmal interview with The Cube at IBM Think 2018
Discover what the world is thinking at Think 2018, IBM's first business event to go beyond IT conference, exploring cloud technology, data analytics & security.