Me, Myself, and AI

What happens when artificial intelligence starts making decisions in the
physical world? Honeywell Technologies CTO Suresh Venkatarayalu joins us to explain the company’s shift from automation to autonomy. He breaks autonomy into four stages: see, think, act, and learn, and explains why AI in the physical world requires a different approach to trust, guardrails, and human oversight. The conversation explores how combining decades of industrial knowledge with AI could create systems that continuously learn, anticipate problems, and help people make better decisions.

Guest Bio:

At Honeywell Technologies, Suresh Venkatarayalu is senior vice president and chief technology officer, and he is president of Honeywell Connected Enterprise.

His principal focus is helping customers transform and automate their
operations at scale. Venkatarayalu leads Honeywell’s global technology
strategy, connected solutions, and software business.

As CTO, Venkatarayalu sets Honeywell’s enterprise-wide research and development agenda, advancing breakthrough technologies, shaping the company’s AI and autonomy strategy, and defining the road map for its automation portfolio and path to industrial autonomy. As president of Honeywell Connected Enterprise, he oversees the full software life cycle, including product management and engineering, the company’s labs and operations, and Honeywell Forge, which serves as a key enabler of the company’s vision to help the industrial world transition from automation to autonomy.

Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

What if artificial intelligence could connect the scattered knowledge across
your organization and help you actually use it? Dropbox CTO Ali Dasdan joins Me, Myself, and AI to explain how the company is using AI to bring together information across files, apps, and platforms while navigating the challenges of security, permissions, and “context rot.” He also shares how Dropbox drove the adoption of AI coding tools to nearly 100% of its
developers and why human review and guardrails still matter.

Guest bio:

From a career spanning leadership roles in engineering and product management at innovative technology companies across Silicon Valley and the United Kingdom for over two decades, Ali Dasdan brings deep expertise in building and scaling high-impact teams, platforms, and products to his role as chief technology officer at Dropbox. He holds a Ph.D. in computer science from the University of Illinois at Urbana-Champaign.

Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

A time of crisis often requires the need for ongoing assistance, but many of us struggle with requesting help from others. GoFundMe CEO Tim Cadogan joins us to explain how the fundraising company is using artificial
intelligence to make such times easier, drawing on lessons from tens of
millions of fundraisers to help people tell their stories and mobilize their
communities.

Tim shares how GoFundMe’s AI-powered fundraising coach is reducing stress, building confidence, and helping people raise more without losing the human connection at the heart of giving. The conversation explores a compelling vision for AI: not replacing people but helping us act on one of our most fundamental instincts — to help one another.

Guest bio:

Since 2020, Tim Cadogan has been the CEO of the fundraising platform GoFundMe, which people have used to raise over $40 billion for themselves, loved ones, communities, and nonprofits.

Previously, he was CEO of OpenX, which he built into one of the world’s largest ad exchanges, and Yahoo, where he led the global advertising business and ran the consumer search division. He began his career at Boston Consulting Group in London.

Cadogan received his bachelor’s degree from the London School of Economics and Political Science, a Master in Philosophy from Oxford University, and a Master in Business Administration from Stanford University. He has served as a search and rescue volunteer since 2010.

Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

With the acquisition of the Caper cart, a technology-enabled shopping cart,
grocery-delivery company Instacart began bridging the gap between online and in-person shopping. On today’s episode, David McIntosh, the company’s former chief connected stores officer, joins host Sam Ransbotham to share how physical AI is helping shoppers track
their purchases, retailers manage inventory, and product manufacturers stock the right items at the right times.

Guest bio:

David McIntosh is Instacart’s former chief connected stores officer, where he led the company’s in-store offerings including Caper, an AI-powered smart-cart, enabling retailers to deliver seamless omnichannel retail experiences across online and in-store.

Prior to joining Instacart in 2021, McIntosh was the CEO and cofounder of Tenor, a leading GIF and expression search engine integrated into top messengers including WhatsApp, Discord, and iMessage, which Google acquired in 2018. At Google, McIntosh grew Tenor to over one billion users and more than one billion queries per day.

McIntosh was previously named Forbes 30 under 30 in consumer technology. He attended the University of California at Berkeley and studied electrical engineering and computer sciences.

Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Erik Brynjolfsson has a challenge for anyone worried about artificial
intelligence: Stop asking what AI will do to us, and start asking what
we will do with AI.

In this episode, the Stanford University economist explains why technology isn’t the biggest barrier to progress — people, organizations, and institutions are. Drawing on new research into AI’s impact on jobs, productivity, and economic growth, he argues that the future isn’t predetermined: It will be shaped by the choices we make today. This is a timely conversation about human agency, shared prosperity, and why the most important AI breakthroughs may have less to do with technology than with how we use it. Read the episode transcript here.

Guest bio: Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and senior fellow at the Stanford Institute for Human-Centered AI, and
director of the Stanford Digital Economy Lab. He is also the Ralph
Landau Senior Fellow at the Stanford Institute for Economic Policy
Research, professor by courtesy at the Stanford Graduate School of
Business and Stanford Department of Economics, and a research associate
at the National Bureau of Economic Research.

A best-selling author, Brynjolfsson focuses his research on examining the effects of information technologies on business strategy, productivity and performance, digital commerce, and intangible assets.

Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.