Here’s the truth we don’t say out loud enough: AI isn’t something you can simply opt out of anymore.

Even if you really wanted to turn it off, you can’t, not in any meaningful way. It’s in your phone every time you unlock it, in your fitness tracker counting your steps and monitoring your sleep, in your car adjusting routes and “helping” you drive, in your appliances learning your patterns, and in your computer quietly shaping what you see, what you click, and what you buy.

AI isn’t waiting for permission. It’s already woven into the background of daily life.

And what makes this moment different is that it’s not just automation, it’s an ultra-personalization shift. The world is moving from reactive to proactive: systems predicting what you want before you ask, nudging decisions before you even realize you’re making them. Convenient? Absolutely.

But it raises a bigger question: how much attention do we actually pay to the data being collected about us, constantly, across all these touchpoints?

If we can’t turn it off, what does meaningful consent even look like?

So in this episode, we’re going to unpack what “always on” really means.

I’m excited to share a brand-new episode where I sit down with CEO Jacklynn Morgan from Wellfed, a company using AI to fundamentally transform how we approach personal nutrition.

WellFed’s platform combines advanced algorithms with personal preference data to suggest recipes, build meal plans, and generate grocery lists that are tailored to your lifestyle, dietary needs, and taste profile.

In our conversation, we dive into how AI can move us beyond one-size-fits-all nutrition guidance and toward hyper-personalized meal experiences that fit our real lives.

We examine how WellFed’s predictive modeling and feedback loops enable users to develop healthier habits, reduce food waste, and integrate nutrition more seamlessly into busy schedules.

We also discuss the challenges and opportunities around data privacy, the collection of dietary preferences, algorithmic transparency, and how to ensure responsible AI in domains like food and health.

If you’re curious about how AI is unlocking new possibilities for nutrition, meal planning, and wellness—or you’re simply looking for ideas to bring technology and health together—this interview is for you.

Tune in, and let’s explore how smarter eating can become more accessible, enjoyable, and sustainable. 🎧

Today, we’re diving into one of the most transformative shifts happening in technology right now — the rise of platform engineering and its intersection with AI-powered DevOps.

For years, organizations have struggled with fragmented tooling, slow software delivery cycles, and growing infrastructure complexity. Cloud gave us scale. DevOps gave us velocity. But together, they also introduced a new challenge: how do we build systems that are fast, secure, reliable, and scalable without overwhelming engineering teams?

Enter platform engineering, a discipline focused on creating consistent, automated, self-service platforms that empower developers, reduce operational friction, and improve delivery speed.

With AI rapidly reshaping how we build and run software, platform engineering is taking center stage. Machine learning models are automating decision-making, copilots are supporting developers, and AI-driven observability is changing how we detect and resolve issues.

Which skills matter most, how AI and DevOps are converging, and why every modern organization needs to rethink how it builds and supports. The organizations that build strong internal platforms today will be the ones ready for AI-powered automation tomorrow.

In this episode, we sit down with a platform engineering expert to discuss how this role is evolving, what skills matter most, how AI and DevOps are converging, and why every modern organization — from startups to global enterprises — needs to rethink how they build and support engineering teams.

Whether you're a CIO, an engineering leader, a procurement professional evaluating technology partnerships, or simply curious about the future of enterprise technology, this conversation will give you a front-row seat to where the industry is heading — and why platform engineering is becoming a strategic advantage.

Let’s jump in.

This is a continuation of Part 1. This episode dives deeper into how the AI algorithms are built and how the risk is assessed. Other topics include how your data is collected and stored, as well as the risks you may not be aware of that are buried in the terms and conditions.

What does the future of UBI insurance look like 2 - 5 years out, and what potential concerns and issues should you be aware of? Can this data be used against you in (futurist) scenarios that may not be as far away as you once thought?

Suppose telematic data collection is combined with other data collection methods, such as in-cabin (inside the car or vehicle data) + connected vehicles to the infrastructure. How could insurance providers completely disrupt traditional auto insurance as we know it today?

Finally, what if other industries leveraged similiar telematics data as UBI for the insurance industry? How can that impact you? This and more, you are surely going to find that this episode will keep the technical and non-technical questioning the future of the auto insurance industry.

Music: Technology Update by Zydsoounds.

This episodes explore how AI adoption is accelerating inside organizations—from meeting summaries to marketing campaigns and gamified cost-saving challenges.

Our guest, a logistics director for a manufacturing plant in central France, shares how the organization has changed how employees interact with AI technologies in the past 12 months.

Leaders must embrace AI to remain competitive, but they must also ensure their people adapt and grow without losing the human touch.Melissa: "...if you're not learning it, that somehow will impact your ability to continue to be effective at your job?"

Response, "I was not thinking that last year. Okay, I'm changing my mind. I think if this year I'm not learning, next year I'll be behind."

Welcome back to another season! Auto insurance is undergoing one of its most significant transformations in decades — and it’s all powered by data. Usage-Based Insurance, or UBI, promises fairer pricing by tracking how, when, and where we drive.

For some, that means lower premiums and safer roads. But for others, it raises serious questions: How much of our personal data should insurers collect? Who really owns that data? And what happens when policies end — does the data disappear, or does it live on in corporate servers?

In Part 1 of 2, we explore the promises and pitfalls of UBI. We start with the definition of UBI, how it works, and a list of the eight US Companies that support UBI, and the pros and cons.

By the end of this episode, you will know what questions should be asked with the goal of understanding if UBI is right for you.

We talk a lot about AI, dashboards, and savings targets, but here's the truth: none work without clean, consistent, and trusted data.

In this episode, we dig into:
✔️ How data governance powers accurate spend visibility
✔️ Why supplier duplication and inconsistent categorization kill strategic sourcing
✔️ What procurement leaders must do before launching analytics tools
✔️ The role of data ownership, master data, and integration in unlocking savings

💬 "If you can’t trust your data, you can’t trust your decisions."

Whether you're just getting started with spend analytics or trying to scale its impact across global teams, this conversation is your foundation.

🎧 Listen in and discover how to make your data your most strategic procurement asset.

In this episode, we explore the growing phenomenon of technology-based anxiety — the fear, stress, and uncertainty people experience in response to the rapid advancements in technology, particularly artificial intelligence.

We dive into how the speed of innovation is fueling anxiety. Joined by a mental health expert and real-world stories, we take our time to understand anxiety, potential triggers, demographics, and the social and community impacts.

Whether you're a tech enthusiast, a skeptic, or somewhere in between, this episode offers insights into navigating the emotional side of our increasingly digital lives.

The music featured in this episode is "Future Lovers" by MothaCode.