BeeOdiversity uses AI and Mother Nature to protect the environment
Episode Details
Transcript
BeeOdiversity’s mission is to help regenerate biodiversity and reduce pesticides and heavy metals in the environment by combining the brilliance of Mother Nature with technology. Their BeeOmonitoring solution uses data obtained from bees to measure pollutants and the state of biodiversity — and then help people use those measurements to change things for the better.
After 10 years of collecting environmental data in partnership with bees and beekeepers worldwide, BeeOdiversity is working with Microsoft to process and interpret their findings through AI and machine learning tools. These new tools give them the power to review massive datasets and deliver timely, actionable insights that would have been impossible to uncover before.
The beauty of this approach is that bees work every day to visit billions of plants across a vast area — and people rarely argue with their findings.
Link to full episode transcript.
Produced by Larj Media.
Hayete
Welcome to Pivotal. Hayete Gallot, corporate vice president for commercial solution areas at Microsoft. I work customers around the globe to transform their business through technology. At the center of every transformation, our people will give technology its purpose. And that doesn't change with the advent of AI. It's actually being accelerated. People sparked visionary ideas for leveraging technology. The release of AI technology like Chat GPT did year is exciting, but it has led to big question as we grapple with the best way to harness those tools to enhance and support the people behind the work. We like to talk about technology. I love to talk about it. But we often forget that technology most effective when it supports people with purpose. This season will demystify AI by talking to the innovators using new AI technology to uplift their industries and augment their people from education, to journalism, to surfing. And it just illustrates what AI is about. Everybody thinks it's about tech. No. Everybody's using AI. That's what we're gonna show you on this season. We're hearing so many exciting stories of AI innovation. And the more conversation we have, the more strikingly clear it becomes that we truly are entering a new companies that have been experimenting with AI in machine learning over the last few years are now poised for exponential growth and impact. Today, we're talking to a Belgium startup company that claims to be the biggest employer in the world. They have on their payroll more than twelve million worker bees. Loic
My name is Loic van Cutsem, and I'm director of international partnerships and development at bio diversity. Hayete
Loik has had both a long standing love and appreciation of nature. And an interest in combating climate change that was ignited during a trip to Africa twenty five years ago. Loic
That was traveling among others to Africa and and realizing the realities and how they were already being impacted at the time I kind of started my career in corporate sustainability. And from there, shifted to social entrepreneurship, I co founded, a social business And then I advised or mentored a lot of startups or scale ups, impact ventures. Hayete
Two years ago, Loique joined biodiversity where it just so happens, he has a special connection to the founders and their story. Loic
It was co founded by my brother. So, obviously, I've been following their journey since since the very beginning. You did corporate M and A and and real estate development and and things like that. And he was really looking for purpose in his work. And therefore, joined an MBA program to kind of get inspiration and meet other other change makers. And and that's where he bumped into his, co founder with a totally different profile. His name is Kim, and Guienne, and he is a scientist. So he had worked during fifteen years in the academic and scientific world studying and being one of the experts on the decline. And and all the issues related to to pollinate your decline and and therefore also biodiversity and they kind of bumped into each other, with the same vision of how can we make the world a bit of a better place and and protect nature with very different vocabulary skill sets. Hayete
Two professionals from different backgrounds. Both motivated to find purpose driven work. So an untapped opportunity to harness the power of bees and the pull in they gather. Loic
These and then pollinators in general are absolutely crucial for our ecosystems. Most of the fruits and vegetables we eat are are pollinated by by bees and insects. And Kim, one of the two co founders was studying bee decline. He's an expert on that field and realized, for him, it was about saving bees. Basically, but he realized I can't save these without actually addressing a much bigger issue, which is protecting and regenerating biodiversity because the causes of biodiversity loss are the same as the causes of the decline being land used and therefore less habitats for pollinators being pesticides in pollution being invasive species and diseases and and climate change. So the the starting point was really to say, hey, can we can we actually use these and and their superpowers to not only save themselves, but actually, protect biodiversity and thereby somehow save. Ourselves in the economy. Hayete
Although it may not be the first thing that comes to mind, biodiversity has a huge impact on global economies, Because at the most basic level, humans are dependent on natural resources around them for survival. Loic
Nature think of it provides food through pollination services. It provides clean air, water, medicine, cosmetics, energy, healthy soils prevent flooding. They provide the nutrients we need, biodiversity regulates climate, and, of course, it offers leisure and well-being benefits as well. So all these services are actually free and and provided by nature, and we're completely dependent on them. Yet we are depleting our natural resources at unprecedented rates. I mean, we have over one million species at risk of extinction, Seventy percent of species, at least of mammals, birds, fish, amphibians have been lost since nineteen seventy. Sixty percent of the soils in Europe are unhealthy and degraded. So the situation is really alarming. Moreover, and this has been quantified through several recent studies over fifty percent of GDP of global cross domestic product is actually heavily, or moderately dependent on nature. Some sectors are completely dependent on nature. Of course, like forestry, fishing, agri foods, and others. And, investors are increasingly become aware and also of that they're facing nature risks in their investment and portfolios. Hayete
Some cutting edge companies already understand this and have taken steps to address it. Many companies are looking at sustainability in terms of measuring their emissions and finding ways to reduce their carbon footprint. But few are taking into account how the way they operate impacts biodiversity and taking steps to address that. But as the impact of climate change becomes more severe every day, there has been a great regulatory push to address biodiversity loss. Loic
It's being, increasingly pushed as an agenda also by new regulations. In Europe, there's these so called taxonomy. There's the corporate social. Reporting, directive that is coming out, which will make it mandatory for over fifty thousand companies, including foreign companies, activities in Europe to reports on ESG topics, including biodiversity. There are new disclosure frameworks coming out. So there's a lot of momentum actually in a lot of different drivers, which are now pushing companies to understand their nature or biodiversity risks, but also opportunities. And one of the big gaps or challenges is data. It's hard to manage something if you don't have data for carbon one ton of CO2 can be calculated. It's pretty much the same in in the US and in in France or in Africa. Biodiversity is much more complex. There's no single unit that can measure biodiversity and it by definition, it's very localized biodiversity is very different in the US in in Sri Lanka or or in France. So it needs to be local data, ground truth data, robust data, comparable data. So there's a big data challenge in this field of biodiversity management. Hayete
Data coming in different forms. No unified standards to measure. That sounds like a common data problem that we see in the technology world. But the solution from Loek's view is truly unique. This is where the bees come in. Loic
Our mission is to help companies to monitor and and regenerate biodiversity and reduce pollutants. And one of the which we do that is indeed using bees as natural drones. So so bees actually visit billions of flowers on a pretty large surface, one point five kilometer radius from the beehives. So they cover seven hundred hectares, and they're an amazing sounding for us every day during the BC's in the east. They go out, visits those billions of flowers and bring back Nectar and poll into the beehive. Which they need to feed themselves. And so, we actually work with beekeepers all over the world who send us very small samples of the pollen that we collect through a patented Pollentrap, as we call it. And our job is to analyze this pollen. Hayete
Who founder, Kim Angouyan, invented this pollen trap which knocks a tiny bit of pollen off the worker bees as they return to the hive, just enough pollen for research purposes. Now, you may ask, why is Poland such a valuable source of data? Beo diversity takes that poll in and uses laboratory analysis and AI models to establish correlations and identify hundreds of plant species pesticides in heavy metals in the area. They call this process biomonituary, and the insights they can generate is almost miraculous. Loic
It actually contains the DNA of all these millions of plants that were visited by the bees, but it also fixes industrial and agricultural pollutants. It's an amazing source of data not only on plant diversity through the DNA of the plants, but also we find over six hundred different pesticides in Poland. We can track heavy metals. So our job is to analyze the pollen. Interpret this data and then provide back metrics, insights, and recommendations on biodiversity and on pesticides and heavy metals using the beast and this amazing sampling force as natural drones. Hayete
Okay. So they collect this data from the Poland, which is collected from the bees, and they're using AI models to analyze all the data and generate insights in the surrounding ecosystem. But what can people do with these insights? Loewig explains. Loic
We work with a lot of mineral water producers, for instance, mineral water producers rely on these large water catchment areas are very large surfaces of land, where the water is is captured and and filtered. And for them, it's absolutely strategic, of course, to make sure that these large areas of land are in good state concerning biodiversity as less pesticides as possible, etcetera. The way they used to do this was by sending people to do manual sampling. And of course, it's it's not super representative. It's costly. It takes time. So we use the bees with most mineral water producers to monitor these large surfaces of land and make sure that the quality of Plan diversity is high for pollinators and for the quality of their their water in the end. And on the other hand, also to make sure are no pesticides or heavy metals. And we do find them, of course. But with that data, our goal is simply to obtain this data in an objective way using the bees and then engage stakeholders. So for instance, when we find pesticides, we can identify what are the sources of these pesticides? Typically, let's say farmer, potato farmers or or fruit farmers. It can be others, but in this case, that's that was the case. And then we go into conversation and and and engage those stakeholders and, you know, say, well, this is what we found or what the bees found. What can we do about it? Could you perhaps use alternatives, could you spray less pesticides or spray them during the evening? We're basically collecting this data, sharing it with stakeholders and then exploring what options can be taken to to protect the land and and regenerate biodiversity. Hayete
So they collect data glean from pollen analysis. Share it with your client stakeholders. And then they explore what options can be taken to protect the land and regenerate biodiversity. The stakeholders are often receptive to those insights. In large part, because they trust the data collectors themselves, to these. Loic
The reactions are on one hand, it's it's the bees really help. They kind of has this sympathetic aspect that allow those conversations to happen, which is not always that easy. To bring different stakeholders around the table and discuss these topics. So so the bees differently helped to bring in those those those conversations. They're they're usually quite surprised. I mean, obviously, they know they use pesticides, but they rarely know the extent of of of the use of the consequences of the use of those pesticides, how long it remains in the plants, in the ground, what consequences might be on human health and the concentration levels. So those are the kind of insights we bring. So they're surprised, usually, and they usually understand that indeed, well, this what the bees are saying is there. It's it's truth. What can we do about it? For our own sake, for and and for the sake of the community and and and the business and and and our health. Change takes times always. So it's a lot of also facilitating those changed processes, facilitating different types of workshops, and and gradually trying to put into place new practices to shift towards towards more sustainable practices or farming in that case? Hayete
It's actually interesting to see the reaction of the stakeholders. And the fact that for once, We don't facing the typical skepticism because there is no human bias. It is about bees. You can trust bees. The stakeholders are a little in awe of all this information gathered by the bees, and they want to be responsive to the findings. It's actually fascinating to see our AI is being used in the context of a continually changing ecosystem. If we were to use conventional methods, processing, and trying to interpret all that data, it would take so long for those insights to be processed and when processed, they wouldn't be relevant anymore. With AI and the bees, providing inputs every day, we're able to get insights that are timely and actionable, and the bees are really good at collecting data. Loic
The beauty of the tool is that bees work every day they continuously gather this data. We don't analyze every day, obviously, but we analyze usually every quarter. And and and the whole purpose, and we always encourage our clients to do this over several years, kind of do a baseline, and then use the tools to monitor the impact of change of practices or actions they can take And and and they give those insights on a quarterly basis, which allows them to continuously also adjust according to the to the metrics and the insights that we can monitor. Hayete
One of the most exciting examples of improvement over time has been a eight year project close to home for biodiversity in Nokia heist, a coastal city in Belgium. Loic
We've been working now since since eight years, region or city, actually, which is a coastal city. And we started monitoring back in the days and found pretty significant concentrations of heavy metals. And by, you know, going into conversation with stakeholders, we identified that those heavy metals were linked to specific power generation processes at the port. There's a port in this in this town. And so these were actually quite easy to change. So they they changed that and we automatically monitored a significant drop in heavy metals. We also identified significant pesticides, and some of them, at pretty high concentration levels. And there too, we were able to identify the sources of those pesticides going to conversation with the, in this case, Apple producers who were using them, but also even actually the the facility managers of the golf course who were using a lot of pesticides. So we, again, we help them change practices, and we monitored after three years, a drop of three hundred percent in terms of pesticides. And then on plant diversity at the beginning, we identified some interesting plants, but some were kind of invasive, not native, or not really suited to the environment. So we help them rethink their planting strategy and kind of plant appropriate plans to make sure that the the biodiversity is high at all moments of the year. And this was also very successful to increase by four, the amount of plan diversity. And it brought back pollinators and birds that, has not been observed in that region since years. There was also a kind of citizen science component where we design different campaigns to engage citizens in planting, this exceeds. So it was a a large project with significant impacts in terms of increasing biodiversity, reducing pollutants, but also engaging the community, including citizens, farmers, and facilities managers, for improved biodiversity. Hayete
What I love about this example is that it's not only about one time engagement. They're trying to build a lasting impact. They're trying to empower local community with the data. It does remind me of the Jane Goodhold Institute example that we had in African villages. You wanna make sure that when you leave, it has a lasting impact. They're also working within Heizer Bush in Bev, the largest brewery in the world. Loic
They have hot production activities in in South Africa in a very, very special area in terms of biodiversity, and they're facing water stress issues due mainly to the presence of invasive species. So we can reduce specific pine trees who are basically absorbing a lot of water from the ground to the detriment of crops, producers, and other activities in that area. They've been working on this since years kind of trying to clear those invasive species and taking different measures, but they didn't really have a tool to monitor the impact and whether what they were doing was really effective or not. So that's where we come in both again with the b solution to monitor plant diversity pesticides above ground, but we're also taking soil samples and analyzing the DNA we find in the soils to get additional insights on on the soil health and the quality of those soils. And and so far, when we started here on this project. But, so far the insights in the metrics are are are are quite positive. We compare different types of sites, the more innovative ones versus more conventional ones. And, I mean, the evidence has showed that the practices are indeed having the, a positive impact both on soil health and on biodiversity and reduction of pesticides. Hayete
From Belgium to South Africa, biodiversity is helping to drive improvements to soil health, water purity, and biodiversity. And reduction in pesticides. It's amazing what nature and technology can do in partnership. They are getting stakeholders to make big changes, which is improving the well-being of entire communities and minimizing business risks for their clients. They've recently developed and tested new tools that leverage AI to broaden their reach and extrapolate their data to cover more grounds at lower cost. Loic
With the BO monitoring, which I've been talking about, you know, we're able to monitor sites for a lot of clients in in the US, in Europe and Africa. So we monitor over a hundred fifty thousand hectares, which is a lot. And we've gathered a bunch of data over the ten years, of course, on those different types of environments. Nevertheless, our clients were telling us, hey, this is great. You know, we're happy to do it on one side or five or ten maybe, but, how can we obtain similar insights on thousand locations or three other supply chain. So this this made us think thought process was kind of okay. How can we actually, bring in technology and leverage technology and our ten years of monitored data to provide those insights much faster with less human intervention, cheaper, and to much more people. And that's also where we started, engaging with Microsoft, actually. We met with different innovation AI leaders within Microsoft who kinda got us thinking and saying, hey, guys, you have an amazing data set now after ten years. Actually, by injecting technology and AI, you could you can indeed, you know, scale this and make it much more inclusive and accessible. So that's the journey we embarked on now three three years ago. And with Microsoft itself also, we were able to define a first kind of prototype. They brought in Accenture, different partners to help us develop that. And what we have today are is a suite of different tech powered solution. Hayete
They really do have a unique data set. And it's great that they're exploring and testing all sorts of forward thinking uses for it. I think they've only scratched the surface of what's possible. One of these solutions currently in beta testing is called BO Impact. It's an AI powered platform that uses satellite imagery, and other mapping technology to see what crops and industry are in an area, and provides almost instant estimates of the pesticides and plants that are likely to be present. Loic
This is a platform that allows to automatically assess the risks of specific locations all over the world, well, in Europe today, but soon in the US as well. So this is kind of a predictive model based on our own data and insights and and adding additional data sources. And it allows to simply, you know, insert the GPS coordinates of a certain location And you get an overview of what are the risks in terms of biodiversity? Am I am I close to sensitive areas? It's Is there a high likelihood of having threatened species that I should be mindful of? But also the risk in terms of presence of pesticides So which pesticides are most likely to be found in this area. And what are the risks of those pesticides for water reduction toxicity, human health. So in terms of tools and and technology, and this is work in progress. It's evolving really quickly as we speak and as we continue developing those different solutions, but we use I mean, we get you use GitHub prod, products for different types of programming, functions. And then we rely mainly on Azure cloud services for different database hostings, the front end server hosting and elements like that. We rely then on external databases and, make sense open source models and classification and labeling solutions. And, indeed, we were lucky a couple months ago, actually, not even, have a hackathon with with Microsoft colleagues on how can we make better use of, for instance, in this case, generative AI to improve the recommendations we provide to our to our clients. So so that was a two, three day hackathon. It was really exciting. We used some of your internal tools, and then we also used the API of Open AI, actually. And we're we're building on that and looking into other solutions, including some of the su your AI suite solutions as as we speak actually. It's kind of, yeah, really building on our on our ten years of data and adding machine learning data and other datasets and and features kind of automatically predict and allow everyone basically to get a first assessment or risk assessment of biodiversity and pesticide risk on their on their sides. Hayete
The BO impact tool would allow BO diversity to reach more people with more information and a much faster timeframe. That is very cool. But for Louis and his team, this is just the first step. The technology is moving fast, and it's much by their ambition to push their innovation forward. Loic
After that, we actually shift them to an action oriented platform. Which suggests using among others generative AI tailored actions that can be taken based on the risks that we've identified. That platform is currently still in in in in development, but that's that's the idea to shift them from this first step to action taking, and then we can indeed still do on-site monitoring using using the bees or or soil DNA analyzes to get ground truth, real data to complement those insights and those recommendations. Hayete
And like other pioneering AI, BO diversity hasn't had to overcome much resistance to their technology. Thanks to the bees and to trust the engender, Organization are actively seeking them out. They're looking for solution to help them fulfill their reporting requirements. Loic
And by the way, this is also kind of the first requirement and all those upcoming regulations and and disclosure frameworks. So we're getting more and more demands from financial institutions, agree food producers, rather, to say, well, I have over a thousand investees in my portfolios or over a thousand suppliers. Can your tool help us just do a first screening and kind of identify the hotspots? These tech enabled platforms are are are rather targeted at corporate environmental directors or or or sustainability directors. The situation is simply that, for different reasons, they're desperately now looking for for insights and data. It's on on many sites. It is driven by accountability and kind of investor, regulatory pressure, but also very much by internal. It helps your decisions and make good decisions and and be efficient with their use of of resources. So, yeah, it's there's a need. We're trying to address that need. So those conversations are actually so far not that complex. Hayete
It's interesting to see the buy in that Louis and the team have been able to gather, whether it's the financial institution, whether it's the environmental directors, whether it's investors, there is a real interest in what they're driving. Louis is talking to groups of people who are default in versus default out. There is little resistance. No push factor to overcome. They're interested. They're looking for solution, and they're happy to adopt the new technology. Because what they were doing prior was inefficient, expensive. And not yielding accurate current data to help them make their case with the regulators. By using these, They are in a way standardizing the data collection. Loic
Today, at least in the field of biodiversity monitoring, there is no one single standard or one single data source. So either they rely on pure data modeling or they can rely on solutions like ours, which do include data modeling, but also local ground truth. So that that uses the conversation. It gives them security that this is not only modernized data, but also cross shaped and and complimented with with real data. And these are usually, you know, kind of qualified b to b environment managers who are well aware of the situation, the complexity of monitoring biodiversity. So we can have those conversations quite openly Hayete
View diversity's models rely on their ground data. The data they've been collecting on-site for the last ten years. And ten years of careful data collection, an in house quality assurance is critical when it comes to building out reliable, predictive AI models. They know the data of the foundation of their model is solid. They trust it. Loic
We combine this with external data sources and additional inputs and parameters. Which, which we don't always control. We have our own quality assurance team and our bio engineers and our experts. We'll look into these, I mean, do different sample tests and make sure that the the currency rates are are relevant and that that works. And we try to be very transparent also, in the way we communicate this to our partners and clients saying, well, these tools are predictive modeling tools based on this in these datasets, there is a margin of error, but there's a margin in error today in the field of biodiversity on pretty much every methodology, and we need to move. The talk is ticking. So Yeah. I think it's a combination of that quality assurance process, selecting the data inputs and the data sources properly and trying to rely on Well checked internationally recognized data sets and being very transparent with our partners and our clients. Hayete
In a lot of ways, BODiversity's project is the dream project. There's not much resistance to the tech They're working towards social and environmental good, and we can't overlook this because they're dealing with plants, soil, and pesticides. They're very rarely dealing with serious data privacy concerns. Loic
The information we manage is Again, on one hand, it's it's it's data we've collected on sites. On the other hand, it's data provided by usually internationally recognized datasets for most of them at least. It's items around pesticides, plan diversity. So we're not dealing with super confidential data or or data that, you know, with with significant privacy issues. Of course, we need to be careful and we are But for us at this stage, it's more about indeed ensuring that we choose the right datasets that we do the quality assurance and and data cleaning, of course, etcetera and then communicating transparently on on the sources behind these models and, and and the potential margin of error. Hayete
As we always say with AI and data, garbage in, garbage out. So it's really inspiring to see biodiversity focus on the quality of their data and the careful collection that they've done over the last ten years. And the balance that they have me on pioneering new tech and on the ground solutions, always keeping people, or shall I say, bees at the center of their effort. People want to save the bees. They want the data from the bees. And now with new regulation, they need the data from the bees. All incentives, environmental, social, economic are all aligning. And their work spans many different sectors and hundreds of diverse clients. Loic
The use cases are are I mean, it's always about kind of baselining and then monitoring the impact and and adjusting actions accordingly. In the ad free food sector, it's a lot around sustainable agriculture and kind of monitoring the impact of more innovative versus conventional ones, making sure that it's indeed reaping the benefits that they're hoping to to achieve. We work a lot in the kind of urban development, neighborhood development, real estate sector as well in particular when they want to bring in nature. And therefore, again, we use our tools to kind of do a baseline measurement and then through out the construction or renovation works, monitor the impact and identify issues. There's a lack of plant diversity. Again, we can advise them and say, well, you should plant this to make sure that the diversity is in a good state. If we identify specific esticizer heavy metals. Again, we can help them take the corrective measures. We've talked about water producers already. Indeed, we work also in the mining and extractive sector They obviously threw their extractive activities of three significant impacts on the land and the and the biodiversity surrounding those mining sites since years, they already have obligations to do, biodiversity based learning and monitoring. But again, they find our our tool quite innovative efficient to monitor those large areas. So we work with them. And indeed, we have some projects with directly also with cities or regions to help them monitor the landscape level, has decide free policies or or pollinator friendly policies or or different policies and actions they are taking. Hayete
They have big goals and big ideas, and they're just beginning to hit their stride using AI to scale and expand. Loic
Our vision and our and our goal is really to scale this as much as possible, using computer vision and machine learning, but to allow as many people as possible to basically get the insights and the data they need to act and protect by diversity. Today, we're focusing more on kind of B2B, companies, cities as well. Tomorrow, perhaps, we could adapt some of these solutions and allow know, everyone citizens to also better understand their environment and and take action, to protect and regenerate biodiversity. We're working on IOT and bringing in sensors into beehives to again capture additional parameters and and data to feed our our recommendations. But I guess the most innovative project we're working on now, and I don't know yet if it will work, but is to see how can we use indeed computer vision and machine learning to avoid a lot of the lab analyzes we're doing. So basically, how can we empower everyone and in particular beekeepers to take pictures of call in and use machine learning to automatically de identify and detect the type of pollen rather than us using in the past microscopes, microscopic analyzes today, genetics analyzes. So that's that's one of the of moonshots, the things we're working on, and it's it's yeah. The initial tests are are are promising. So we'll see where it leads us. Hayete
And for those with a green thumb, this tool they're working on will be of particular interest. Loic
We really wanna engage as many people as possible. We're also developing a knob that will empower anyone on citizens, basically, to map the plants that they have on their terrace or their garden and get specific recommendations on what they should be planting for the benefit of their local ecosystem and get regular tips and tricks and maintenance tips to make sure that they can also act and really regenerate locally within their garden or their terrace, the the biodiversity, but all work in progress. So indeed, yeah, the idea is to take, I mean, using computer vision, take those pictures, run, and we're testing it now. And it's also quite positive. Run a machine learning model to kind of based on those pictures, identify, indeed, which type of problem we're talking about. Would it would significantly reduce our our our human effort, but also accelerate the process of of analyzes and enable much more people to again, to be empowered in and and do it as well themselves. So that's kind of our vision empower as many people as possible to get the right insights and data to act and protect biodiversity. Hayete
As for working with his brother through all of this, is that tricky to navigate? Loic
I feel very fortunate that that we get along so well and we can work together. Now we know each other very well. So it's great. And we've always had a very open trust based relationship. We don't hesitate to challenge each other. We can be hard and harsh if it's necessary as well, and we can take that feedback. So it's Yeah. It's it's a nice journey and it's great to be working with my brother in this in this journey. We really show the same vision and super exciting every day too. To work together towards achieving it? Hayete
I just got back from Cup twenty eight, and I have to say it was inspiring, it was also depressing because we're not making the progress we need to make. And people want to help. They just don't know how. And this this is a tangible way of contributing, making things better, or making our environmental progress really happening. And it's interesting to see what's journey does an opportunity to save the bees. Also, became an opportunity to improve biodiversity. Who would have thought that you could do that? It is exciting to see AI expanding within these niche fields of study with specific application. Deeply tied to the natural world and resulting in a widespread impact across industries around the globe. As a tech person, if you had told me about bees and AI, I would have looked at you and wondered, what are you talking about? Well, it's happening. Louis and team are making it happen. When you look at this story, it's inspiring. The possibilities. Nature is giving us feedback. We're giving a voice to bees. Thank you for listening to Pivotal. I'd love to hear your story in your pivotal moment, so don't hesitate to follow me and share on LinkedIn. Audence information is also available in a show notes. Our show is produced by large media, that's L a r j media. Special thanks to Limia and our partners at WE Communications. 
