Sam Ransbotham says Suresh Venkatarayalu has worked at Honeywell for about thirty years.
“Suresh has been at Honeywell for about thirty years and now he's leading the shift from automation to autonomy.”
Person
Sam Ransbotham
39 episodes · 92 quoted claims
- 27 Oct 2026See, Think, Act, and Learn With AI: Honeywell Technologies’s Suresh Venkatarayalu27m
- 13 Oct 2026Connecting Data at Scale With AI: Dropbox's Ali Dasdan18m
- 29 Sep 2026AI for Process, People for Heart: GoFundMe’s Tim Cadogan25m
- 15 Sep 2026AI Goes Grocery Shopping: Instacart’s David McIntosh23m
- 21 Jul 2026Creating Shared Prosperity With AI: Stanford Digital Economy Lab’s Erik Brynjolfsson35m
- 22 Jun 2026AI Upskilling at Scale: Bank of America’s Bernard Hampton25m
- 1 Jun 2026AI for Interoperability in Health Care: Philips’s Carla Goulart Peron30m
- 19 May 2026A Need for Nuance: The Economist’s Andrew Palmer36m
- 5 May 2026Behind the AI in the Newsroom: The Washington Post’s Vineet Khosla35m
- 21 Apr 2026Industrial AI for the Physical World: Siemens’s Peter Koerte27m
- 7 Apr 2026Disintegrating the Org Chart: ServiceNow’s Jacqui Canney30m
- 10 Mar 2026An Industry Benchmark for Data Fairness: Sony’s Alice Xiang30m
- 24 Feb 2026AI Is Not Improving Productivity: Nobel Laureate Daron Acemoglu29m
- 25 Nov 2025Creating More, Not Less, With AI: GeekWire’s Todd Bishop23m
- 14 Oct 2025Never Fight a Megatrend: Cisco’s Jeetu Patel28m
- 16 Sep 2025Challenging the Average With Open-Source AI: Hugging Face’s Thomas Wolf30m
- 27 May 2025Delivering More Connected Care Through AI: CVS Health's Josh Weiner22m
- 13 May 2025Building Better Answers With AI Agents: SAP’s Walter Sun28m
- 15 Apr 2025Overcoming AI Hallucinations: Truist’s Chandra Kapireddy30m
- 1 Apr 2025Speed, Ease, and Expertise With AI: Lenovo’s Linda Yao28m
- 18 Mar 2025Reskilling the Workforce With AI: Harvard Business School’s Raffaella Sadun26m
- 18 Feb 2025Monetizing Data With AI: MIT CISR's Barb Wixom31m
- 7 Jan 2025How a 160-Year-Old Startup Uses AI: The Heineken Company’s Ronald den Elzen22m
- 17 Dec 2024Collective Learning With Generative AI27m
- 12 Nov 2024Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay38m
- 29 Oct 2024The Risks of Too Much AI: Fortune’s Jeremy Kahn31m
- 15 Oct 2024Never Too Much AI: Upwork's Andrew Rabinovich33m
- 17 Sep 2024Meet Your New Teammate, AI: Asana’s Saket Srivastava31m
- 30 Jul 2024Feed Drop: Why Only 10% of Companies Succeed With AI With Sam Ransbotham, Professor at Boston College44m
- 16 Apr 2024Fashioning the Perfect Fit With AI: Stitch Fix’s Jeff Cooper34m
- 2 Apr 2024Solving Real User Problems With Generative AI: Slack’s Jackie Rocca30m
- 19 Mar 2024Driving Manufacturing Efficiency With AI: Pirelli’s Daniele Petecchi22m
- 6 Feb 2024Bonus Episode: Generative AI Trends for 2024 With Tom Davenport26m
- 3 Jan 2024Making Magic With Gen AI: Capital One’s Prem Natarajan25m
- 5 Dec 2023Operational Safety With AI: Chevron's Ellen Nielsen31m
- 21 Nov 2023Micro Utility With Gen AI: Shopify's Miqdad Jaffer31m
- 25 Jan 2022Transforming a Technology Organization for the Future: Starbucks’s Gerri Martin-Flickinger26m
- 27 Apr 2021Designing a Better Future: Mastercard’s JoAnn Stonier25m
- 3 Nov 2020Better Together: Mattias Ulbrich on Combining Coffee, Business, and Technology at Porsche23m
Sam Ransbotham says a petrochemical operation in Abu Dhabi working with Honeywell was trying to predict problems five or ten minutes ahead.
“I was reading about one of these petrochemical industries that you were working in in Berube, Abu Dhabi, that was trying to predict problems sort of five or ten minutes ahead.”
Sam Ransbotham says he has researched data analytics and AI at MIT Sloan Management Review since 2014 and the podcast has run thirteen seasons.
“I've been researching data analytics and AI at MITSMR since 2014, with research articles, annual industry reports, case studies, and now thirteen seasons of podcast episodes.”
Sam Ransbotham is a professor of analytics at Boston College and has researched data analytics and AI at MIT Sloan Management Review since 2014.
“I'm Sam Ransbotham, professor of analytics at Boston College. I've been researching data analytics and AI at MITSMR since 2014”
Sam Ransbotham said Ali Dasdan's career went from chip design to web search to Dropbox, which is about twenty years old.
“He started in chip design, moved to web search, and now is technology at a twenty year old company.”
People have raised more than $40 billion on the GoFundMe fundraising platform, according to host Sam Ransbotham.
“People have raised more than $40 billion on it.”
Sam Ransbotham, a professor of analytics at Boston College, says he has researched data analytics and AI at MIT Sloan Management Review since 2014.
“I'm Sam Ransbotham, professor of analytics at Boston College. I've been researching data analytics and AI at MITSMR since 2014”
Sam Ransbotham cites an apocryphal quote attributed to Margaret Mead that a healed broken bone is a sign of the first civilization because someone helped the injured person.
“We have a civilization when you find people with broken bones who have died, not from the broken bone, because it it meant that the society helped them.”
Before Instacart, David McIntosh built Tenor, a GIF search engine integrated into messaging apps such as iMessage and WhatsApp.
“Before this, David built Tenor, the Jiff search engine inside iMessage and WhatsApp”
Sam Ransbotham defined consumer surplus as the value a buyer gets beyond what the buyer pays.
“There's consumer surplus, which is the value I get as a buyer beyond what I actually pay.”
Sam Ransbotham cites a Science article associated with Neil Thompson saying about 90% of the most important new AI models now come from industry.
“they've got a science article that said something like 90% of the most important new AI models are coming out of industry”
Sam Ransbotham says the US government put roughly a billion and a half dollars into non-defense AI research spending last year, about what Google spends.
“put like a billion and a half dollars or so into non-defense research spending last year, and that's roughly what Google is putting in”
Sam Ransbotham describes the Academy as supporting more than 200,000 Bank of America employees worldwide.
“The Academy is one of the largest learning and onboarding organizations in corporate America, supporting more than 200,000 employees worldwide.”
Sam Ransbotham says Bank of America has about 70 million clients across 35 countries.
“It's one of the world's largest financial institutions. I looked up 70 million clients, 35 countries.”
Sam Ransbotham says he has researched data analytics and AI at MIT Sloan Management Review since 2014 and that the podcast has run 13 seasons.
“I've been researching data analytics and AI at MIT SMR since 2014, with research articles, annual industry reports, case studies, and now 13 seasons of podcast episodes.”
Sam Ransbotham says Philips recently received FDA clearance for SmartHeart, an automated cardiac MR planning tool.
“I think Philips just got FDA clearance for Smart Heart, which is a automated cardiac MR planning tool.”
Sam Ransbotham cites the Philips Future Health Index as finding that 79% of healthcare professionals are optimistic about AI.
“I think part of your finding in that future health index was that 79% of the healthcare professionals are optimistic about AI”
The Future Health Index found about half of patients worry AI will reduce their face-to-face time with clinicians.
“like half of the patients are worried that it's going to reduce their face-to-face time.”
Ransbotham says MIT SMR research found people who trust AI are twice as likely to use it regularly.
“individuals who trust AI are twice as likely to use it regularly.”
The next and final episode of season thirteen of Me, Myself, and AI features Bernard Hampton of Bank of America.
“On the last episode of season thirteen, I'll be joined by Bernard Hampton, a corporate learning leader at Bank of America.”
Recent graduate Kat Harrison Gaze appeared on Boss Class to discuss applying for jobs.
“you had a recent graduate, Kat Harrison Gaze, who was talking about the experiences of applying for the job market.”
Sam Ransbotham says he has researched data analytics and AI at MIT Sloan Management Review since 2014 and the podcast has run thirteen seasons.
“I've been researching data analytics and AI at MIT SMR since 2014, with research articles, annual industry reports, case studies, and now thirteen seasons of podcast episodes.”
Sam Ransbotham says he has researched data analytics and AI at MIT Sloan Management Review since 2014 and the podcast is in its thirteenth season.
“I've been researching data analytics and AI at MITSMR since 2014, with research articles, annual industry reports, case studies, and now thirteen seasons of podcast episodes.”
Sam Ransbotham says former student Taylor Stockton, who has worked at the U.S. Department of Labor, appeared on an earlier episode.
“we had Taylor Stockton, who was a former student of mine on a previous episode. He's worked at the Department of Labor.”
Sam Ransbotham says previous guest Ziad Obermeyer worked with medical data and a data-sourcing effort called Nightingale.
“We've had a previous guest, Ziad Obermeyer. He was working with medical data.”
Daron Acemoglu was awarded the Nobel Prize in Economics in 2024.
“In 2024, he was awarded the Nobel Prize in Economics for this work.”
Sam Ransbotham has researched data analytics and AI at MIT Sloan Management Review since 2014, and the podcast had completed twelve seasons by this episode.
“I've been researching data analytics and AI at MITSMR since 2014, with research articles, annual industry reports, case studies, and now twelve seasons of podcast episodes.”
Season thirteen of Me, Myself, and AI was scheduled to premiere on March tenth.
“Me, Myself, and AI season thirteen premieres on March tenth.”
Sam Ransbotham is a professor of analytics at Boston College who has researched data analytics and AI at MIT Sloan since 2014.
“professor of analytics at Boston College. I've been researching data analytics and AI at MIT Sloan Research since 2014”
Sam Ransbotham recalls that a Bureau of Labor Statistics forecast projected travel agents to be a major growth occupation, which did not happen.
“one of the BLS statistics that I remember was that travel agents were forecasted to be a massive growth opportunity”
Sam Ransbotham argues from basic economics that when something costs less, people consume more of it.
“I think about it from a value perspective. If if something costs less, we consume more.”
Sam Ransbotham says his class allows students to use AI for anything, including on exams.
“we're wide open, use AI for anything, even on the exams.”
Sam Ransbotham describes the older banking model of education, in which a professor deposits information into passive students, and says it no longer works.
“I call the banking model of education, where empty students come in and the learned professor dumps a bunch of information on them”
Sam Ransbotham says the next episode of Me, Myself, and AI features OpenAI's first chief economist.
“Next time, I'll be joined by OpenAI's 1st chief economist, Ronnie Chatterjee.”
Sam Ransbotham explains the 'picks and shovels' saying: those who sold tools to gold rush miners often profited more than the miners themselves.
“there's a famous or infamous statement that the people who made money in the gold rush were people who sold picks and shovels to the miners.”
Sam Ransbotham says Cisco equipment is probably behind about 90% of the infrastructure people use.
“Cisco equipment is probably behind 90% of the infrastructure that we're using”
Sam Ransbotham says he has researched data analytics and AI at MIT Sloan Management Review since 2014 and the podcast is now in its twelfth season.
“I've been researching data analytics and AI at MITSMR since 2014, with research articles, annual industry reports, case studies, and now twelve seasons of podcast episodes.”
Sam Ransbotham, a Boston College professor of analytics, has researched data analytics and AI at MIT Sloan Management Review since 2014.
“I'm Sam Ransbotham, professor of analytics at Boston College. I've been researching data analytics and AI at MITSMR since 2014”
Ransbotham notes GPUs were originally developed for processing images on screen before being used for machine learning.
“we originally had CPUs, and then we developed GPUs for graphical processing units for processing images on the screen.”
Sam Ransbotham says retraining large language models takes months and large amounts of power.
“when we talk about these large language models, we're talking about literally months and tons of power to recompute them.”