Resilient Supply Chain is for supply chain, operations, procurement and technology leaders who need practical ways to manage disruption, reduce risk and keep business moving.
Each Monday, technology and sustainability analyst, keynote speaker and former SAP Global VP Tom Raftery speaks with the executives, operators, founders and innovators redesigning how goods, information and decisions move through global supply chains.
These are candid conversations about what works in practice—not polished PR narratives or vague predictions. Guests explain how they are responding to supplier failures, geopolitical shocks, volatile costs, capacity constraints, changing regulations and rising pressure to improve both performance and sustainability.
The podcast examines:
- Faster planning and decision-making under uncertainty
- Supplier risk, sourcing strategy and business continuity
- AI, automation, visibility and operational intelligence
- Warehousing, logistics and fulfilment performance
- Scope 3 emissions, circularity and responsible sourcing
- The systems, incentives and organisational changes needed to turn data into action
The central question is simple: what helps a supply chain withstand disruption, adapt quickly and continue serving the business?
New episodes are published every Monday at 7am CET. Resilient Supply Chain+ subscribers also receive bonus analysis, highlights and briefings on emerging industry trends.
Follow Resilient Supply Chain for practical lessons from the people solving real operational problems—and building supply chains that perform when conditions do not go to plan.
AI can make supply-chain decisions faster. It can also scale the data problems people have been quietly correcting for years. Once machines start acting rather than merely reporting, inconsistent definitions, missing context and weak governance become operational problems.
I speak with Sagar Paul, Chief Revenue and Growth Officer at The Modern Data Company, who brings nearly three decades across operations, enterprise data, manufacturing and supply chain. We look at what changes when AI in supply chain moves from helping humans interpret information to making decisions itself — and why that raises the stakes for procurement, manufacturing and operations.
We examine why “better data” depends on the decision being made, how tribal knowledge has been masking semantic inconsistencies, and why real-time data can become expensive noise rather than useful signal. We also challenge a dangerous assumption: that automating an existing process automatically improves it. Sometimes it simply automates the leakage.
Listen now to understand what your data needs to prove before you let machines act on it.
If disruption hit tomorrow, would you know where your supply chain was most exposed? In 15 minutes my free scorecard helps you assess 27 resilience statements, calculate your score, and turn the result into three priorities and a 30 day action plan. You can download the scorecard free at tomraftery.com/scorecard.
Podcast supporters
I'd like to sincerely thank this podcast's generous Subscribers:
And remember you too can become a Resilient Supply Chain+ subscriber – it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to bonus episodes of topical, timely supply chain resilience analysis.
🎤 Looking for a keynote speaker on supply chain resilience, AI, and sustainability?
I help leaders understand the forces reshaping global supply chains, from geopolitical disruption and climate risk to AI and real-time decision-making.
Download my Speaker Pack: https://tinyurl.com/spkrpck
Finally
If you have any comments/suggestions or questions for the podcast – feel free to just send me a direct message on LinkedIn, or send me a message using this link.
If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it.
Thanks for listening.
The shipping industry is the backbone of international trade, contributing to the globalisation and development of the world, but it’s the shipping people who makes the world go around.
This is where you meet the maritime professionals, strong characters with an interesting background.
Is DEI still relevant?
Is there a way to make the maritime industry more attractive using a more updated strategy for diversity, equity and inclusion? Can our industry catch up with other industries by adopting guidelines? Are we willing to change in this area as well?
You can contribute by telling your story to the All Aboard Alliance and their project Unspoken. Please do so and thereby contribute to the maritime industry’s development of a future-proof workplace.
I am all ears should you want to share your views with me; hello@shippingpodcast.com
Lena
xxx
Climate Confident is for business leaders, climate professionals and policymakers who need to understand what is actually cutting emissions—and what it takes to make those solutions work at scale.
Each Wednesday, technology and sustainability analyst, keynote speaker and former SAP Global VP Tom Raftery speaks with the executives, engineers, scientists, founders and policymakers turning climate ambition into measurable progress. Together, they examine the technologies, business models, policies and implementation strategies reshaping energy, transport, industry, supply chains, food and finance.
These are not conversations about distant targets, vague pledges or greenwash. They are candid discussions about what is working, what is failing, where the real bottlenecks lie, and how leaders can make better decisions about decarbonisation, resilience, investment and risk.
You will hear:
New episodes are published every Wednesday at 7am CET. Subscribers also receive bonus episodes featuring highlights, analysis and emerging themes from across the series.
Follow Climate Confident for practical climate solutions, informed debate and the insights you need to turn ambition into measurable progress.
Guest suggestions and feedback are welcome at Tom@tomraftery.com.
Get in touch – leave me a message
Enhanced rock weathering looks deceptively simple: crush suitable rock, spread it on farmland and let chemistry remove CO₂. The harder question is whether you can prove that removal reliably enough to make the economics work.
I speak with Chris Zair, Director of Partnerships at UNDO, about what happens when enhanced rock weathering moves from controlled trials into real fields. For buyers, investors and policymakers, the stakes are practical: measurement and verification can account for roughly half the cost stack, and weak data can stop credible carbon removal from becoming financeable infrastructure.
We look at why disappearing rock creates an unusual MRV problem, what changes when carbon-credit contracts pay only on delivery, and why having plenty of rock and farmland still does not guarantee scale. We also examine the trade-off between durability, cost and speed – including why particle size can radically alter how quickly CO₂ is removed.
Listen now to understand what is really holding back enhanced rock weathering – and what has to change for carbon removal to become measurable, financeable and repeatable at scale.
Sign up to Climate Confident+ for deep dive analysis of the major climate and energy stories of the day.
Podcast subscribers
I'd like to sincerely thank this podcast's amazing subscribers:
And remember you too can Subscribe to the Podcast – it is really easy and hugely important as it will enable me to continue to create more excellent Climate Confident episodes like this one, as well as give you access to the entire back catalog of Climate Confident episodes.
🎤 Looking for a keynote speaker on climate, energy, AI, or sustainability?
I help executive audiences understand the technologies, trends, and decisions shaping the low-carbon transition.
Download my Speaker Pack: https://tinyurl.com/spkrpck
And a quick note before you go: I’ve started a new Reddit community for serious, evidence-led discussion on climate solutions, clean energy, decarbonisation, policy, technology, and what actually works in practice.
If you’d like to suggest future guests, challenge ideas from the show, or share climate reports and solutions worth discussing, join us at r/ClimateConfident
Season 2 of ClearTech Loop is built around three questions:
How is AI changing the way organizations think about risk?
What does stronger cybersecurity leadership look like right now?
How should leaders rethink cloud strategy as business and technology keep shifting?
Hosted by Jo Peterson, Chief Analyst at ClearTech Research, ClearTech Loop is a fast, focused podcast covering AI, cybersecurity, and cloud risk through a business leadership lens.
Each 10-15 minute episode explores the issues shaping modern technology strategy and the decisions leaders cannot afford to ignore.
From governance and resilience to infrastructure change and emerging risk, ClearTech Loop helps leaders make sense of what is shifting, what matters most, and what comes next.
AI agents are moving across systems, making decisions and, in some cases, creating other agents. But enterprises still do not have consistent standards for identifying them, governing their permissions or tracing what they do.
In this episode of ClearTech Loop, Jo Peterson talks with Rob Tiffany, Research Director at IDC, about why traditional identity and access management may not be enough for the agentic AI era.
Rob argues that the identity problem becomes much bigger once agents begin operating beyond a single enterprise. Companies need to know who an agent belongs to, what it is allowed to do and whether its activity can be audited and traced. As Rob puts it, there are still no consistent standards around agent “identity and permissions and auditability and traceability.”
He also discusses an idea he is exploring with Cerf: whether AI agents may eventually need something similar to a global registry, analogous to DNS, so their identity, permissions and traceability can be verified across networks and organizations.
The conversation also gets into shadow AI, employee adoption and why the most productive people inside an organization may be among the first to use AI tools before governance catches up.
In This Episode
🎧 Listen: In Buzzsprout Player
▶ Watch on YouTube:https://www.youtube.com/@ClearTechResearch/videos
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