 Hi, this is your host Abil Bhartiya and we are back with award 2020 three productions. And today we have with us once again, Michel Trikot, co-founder and CEO at AirBite. It's great to have you on the show. Hi, this is great to be there again. Yeah, before I ask you to grab your crystal ball and share your predictions, I would love to know a bit about the complete stuff. So, MIT is an open source data integration platform. And what we do is we help company break down any kind of data cellos that they have and move data from any sources versus an API file, spreadsheet, database, and bring that into the destination of their choice, whether it's a warehouse, whether it's another SaaS service, basically every place where this data will bring more value to their business. And this is what we've been doing over the past three years. And today we have about 50,000 open source deployments who released a cloud product in Q2 this year and things are going pretty well. Excellent. Now it's time for you to pick your crystal ball and tell us what predictions you have for us. I would say the first thing is a lot of companies are actually completely changing their data strategy. And with the economy slowing down, it's a moment when company reflect on their fundamentals and invest in these big projects. And what we'll see is just that warehouses are going to get more and more used. And as companies detect and understand the value of it, they will want to push more and more data to these systems. And that means that more and more in-house connector will need to be built to get databases, internal APIs, data directly into these warehouses, and they will have more and more custom needs. So they are building their data product, they have the specificities of their business, and these type of custom needs will need to be encoded into solution. The second prediction is more around how blurry it's gonna become between data warehouses and data lakes. And we can already see that with what Snowflake did with being compatible with Iceberg is the separation of storage and compute will really blur the limits between like these warehouses and this data lake. The last one is more gonna be around like how open source will continue to be a key driver for data projects. And we see today with data integration, we see today with data observability, we see for data cataloging, et cetera, there are a lot of solutions that are coming on the market and that are going to be adopted more and more by these companies. So this is really how we see the future with their bite and all of that is driven by company focusing on their data fundamentals during that low economic period. We've talked a lot about reverse ETL over the past two or three years was pulling data outside of data warehouse and bringing it into APIs and services. And we really see that as actually the activation of data and from there we see what we believe is gonna happen is that the concept of reverse ETL is gonna change and people are realizing, are going to realize that it is not just a data product but it is really an automation product. And that will come with the requirement for a lot of new safeguards because reverse ETL is not just data, it's really automation, it's activation meaning that it touches critical systems and if you have data issues, the impact on the business are going to be huge. So that's why this is gonna move away from just the data space and it's going to require more data quality, more lineage, stronger processes internally in companies to actually leverage solutions that the market calls reverse ETL today. Excellent, thanks for sharing those predictions. Now if I ask you what is going to be the focus for the company in 2023? So for AirBats we will have two main focus. First one is continue to address the long tail and the customizability of the platform. So ensuring that every one of our users can pull data across every one of their sites and we call that ubiquity. The second one is going to be around giving control over data to our customers and it means how do we ensure that the data movement can happen in the safety of your cloud as a user? A lot of companies have very sensitive data whether it's gonna be PCI certified data whether it's they have like SOC2 requirements, et cetera and not all data can actually go to a SaaS service and what we want to do really with AirBats is move the execution of the movement directly into our customer's infrastructure and that's gonna be, these two are gonna like the long tail and the movements are gonna be the two main focus of the company in 2023. Can you also talk about what are the challenges that you see ahead that will even become bigger challenges in 2023 and you also see that hey, these are the challenges that we at AirBat would like to tackle? So I mean there are the macro challenges so at that point it should be how is the economy going to evolve? Because in my mind we've seen the first two waves where it affects B2B relationship now we're going to see how it affects B2C relationship but B2C relationship when they're affected have another effect on B2B. So this is something that I believe we'll see in 2023 where if people consume less, how does that affect B2B? So that's gonna be a challenge and we see that as a way for AirBat to just show that yeah, you can bring AirBat within your infrastructure directly you can just integrate an open source software and you can decide also how much you want to be spending on a data solution and making the trader between open source with internal teams or using a cloud product. So first that's the challenges we see is like how do we navigate in that environment where companies are more conscious about price are more conscious about how they spend their team's time and also how they want to also revamp their fundamentals and data fundamentals. Michel, thank you so much for taking time out today and share your predictions also talk about the challenges and I would love to have you back on the show in 2024 so that we can also see how many of your predictions turn out to be true. I did not want to tell that to you in the beginning so that you are under pressure but now we got that out as well but I really appreciate your time and I look forward to our next discussion. Thank you. Thank you for having me.