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.

Discover how AI revolutionizes procurement in our latest video, "Top 10 AI Use Cases on Procurement: Transforming the Future!" 🚀 We dive into AI's transformative power, showcasing its incredible impact. Learn how AI enhances efficiency, mitigates risks, and drives sustainability, ensuring your procurement processes are future-ready. Spend Analytics & Opportunity IdentificationSupplier Discovery & Market IntelligenceStrategic Sourcing & Negotiation SupportContract Lifecycle Management (CLM)Supplier Performance & Risk ManagementDemand Forecasting & Inventory OptimizationPurchase Order Automation & Processing EfficiencySustainability & ESG IntegrationFraud Detection & Compliance AssuranceEnhanced User Experience & Stakeholder Interaction

A quick overview of AI Agents, what they are, examples of where we interact with them today, and how they work.

This content was created with my two daughters in 9th grade. They are experiencing AI from their local county school board, who are developing policies on using AI in school and creating 1 page flyers with an overview of AI.

In summary, my daughters may not understand all there is to know about AI, but they are asking the right questions and evaluating their level of trust in the information they receive. For example, who are the people developing these AI policies and documents, and do they have a background or knowledge on this topic to be a reliable source?

AI technologies impact all of us, no matter where we are in our life journey. From high school students to full-time retirement on the beach, we each have a different perspective. How we navigate forward depends on our own experiences with AI technologies.Meet Devadharshinin in her first interview ever!! She received her bachelor's degree in Data Science and started the M.B.A. program in Business (Artificial) Intelligence in the Summer of 2024. At the same time, she works full-time at Mavdero Techservices Pvt Ltd as a software (python) developer. This episode is hearing the perspective of someone continuing her (AI) educational journey and, at the same time, just starting her professional journey. Topics covered are: - Developer vs Data Science- MBA in AI Business Strategy- Value of automation- The software she uses in her job - Learning on the job- Her pick of the most exciting feature she is working on- What is an AI Agent?Mavdero is a technology provider for intelligent automation services using artificial intelligence, RPA, and machine learning. The Devadharshinin is working on contract management automation.

'AI technologies' is a generic phrase that combines 7 different types of AI technologies in a broader group. If you are new to AI or interested in a refresher, this is a good use of 15 minutes.

This episode is a debrief and definition of key terms: - AI compared to AI Model - Narrow AI compared to General Intelligent and Super intelligent AIComponents of AI Technologies:- Machine Learning- Deep Learning- Natural Language Processing (NLP)- Neural Networks- Robotics Processing Automation (RPA)- Computer Vision- Generative AI

This episode discusses an often overlooked area of data cleansing and its enduring value, even in the age of AI technologies. In our data-driven world, companies are racing to adopt AI to automate processes at the expense of pausing longer to evaluate potential adverse side effects. This is why the human element remains a critical component.

This conversation aims to dive deeper into the benefits of data cleansing with human expertise, challenging the premise that AI is the only solution. With our guest this week, Susan Walsh, we explore how human intervention continues to add value.

While AI can offer speed and efficiency, it cannot fully understand the contextual use of the same data set across industries. Leveraging human intelligence in conjunction with automation tools strengthens the outcomes.

Sprinkled with real-world stories, the conversation will uncover the 'behind the scenes' human-driven data cleansing methodologies. This episode promises to offer a different perspective on AI and explain why the human element will be around for a while.