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Global Startup Cities Podcast: AI assists merchants on chargebacks

‘The Buzz’ speaks with Justt co-founder Roenen Ben-Ami

Victor SwezeybyVictor Swezey
July 25, 2023
in Strategy
Reading Time: 11 mins read
0
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Processing chargebacks has long been a time-consuming manual operation for e-commerce merchants, but now AI can be utilized to streamline the procedure for financial institutions.

Tel Aviv, Israel-based fintech Justt uses AI and data insights to automate the process of chargeback mitigation—a $125 billion problem—co-founder and Chief Risk Officer Roenen Ben-Ami tells Bank Automation News during this special edition of the Global Startup Cities podcast from “The Buzz.”

“When [merchants] receive our evidence or return, they’re manually reviewing that evidence, and it’s quite a tedious process for them to do,” Ben-Ami notes. “So, we’ve been working on helping them make their process more efficient.”

Justt’s tech is designed to help vendors navigate a system in which they are typically “guilty until proven innocent,” he says. “It’s actually tailoring the solution at scale per merchant to their end user flow, their industry, so that we could get the best solution on their behalf.”

Founded in 2020, Justt has raised $70 million is venture funding and serves customers including buy-now-pay-later provider Affirm and small-business payments platform Melio, according to its website.

Listen as Justt’s Ben-Ami discusses automating chargebacks and his experience as a founder in Tel Aviv, the startup capital of the Middle East and a global leader in cybersecurity innovation.

Subscribe to The Buzz Podcast on  iTunes, Spotify, Google podcasts, or download the episode. 

The following is a transcript generated by AI technology that has been lightly edited but still contains errors. 

Victor Swezey 0:02
Hello and welcome to a special edition of “The Buzz,” a Bank Automation News podcast. Today is July 25 2023. My name is Victor Swezey, and I’m the editorial intern at Bank Automation News. Today is the second episode of our Global Startup Cities series, where we take you to some of the most innovative tech hubs around the world to give you a look at these startup cultures and the markets they serve. Along the way, we’ll be talking to 10 tech founders from these cities about the products they’re bringing to market. This week, we’ll be traveling to Tel Aviv, the capital of Israel, the Middle East’s startup nation. For years, Tel Aviv has been churning out innovative startups across multiple verticals, including social trading platform eToro and cybersecurity firm winds. As of March, the city alone was home to 95 unicorns, according to the Times of Israel. Joining me today is the founder of just a startup using AI to automate chargeback mitigation for E commerce merchants and banks. Please welcome Roenen Ben-Ami.Roenen Ben-Ami 1:08
Great to be here. Great to meet you, Victor. Thanks for having me. So I’m Roenen, I’m the co founder and chief risk officer adjust just solves the problem of chargebacks from mine merchants at the post transaction stage. In order to explain that I always like to give an example of what a chargeback is. So we’re all on the same page. So let’s say you’re an online merchant selling a pair of shoes and a cardholder buys those shoes, it’s shipped to their address. After receiving the merchandise, that cardholder has the ability to dispute that transaction. And many times it could be an innocent mistake, they forgot what they purchased. Someone else in the family made the purchase or actual criminal activity of trying to get something for free. What happens at that point is that the cardholder goes to their bank disputes the transaction and receive the funds in return. At that point, the bank, let’s say it’s Bank of America will submit into the card scheme networks Visa or MasterCard, an actual chargeback. And the funds are ultimately taken from the merchant, I say the system is built, that you’re guilty until proven innocent as a merchant, because the funds are automatically taken from the merchant. And unless they handle the process of proving that this chargeback is illegitimate chargeback, based on the reason called what the actual claim is, then they’re going to lose those on them. That process is quite manual with many rules and regulations. And what we have done is taken a three pronged approach to solve this for merchants. And the first approach is really hands free, we realize that merchants don’t have the time, when you don’t have the knowledge or resources to deal with their chargebacks, we take the entire problem onto our shoulders and handle it on their behalf. The second point is being an automated solution. And what we mean by that is really two items. First, it’s actually tailoring the solution at scale per merchant, to their end user flow their industry so that we could get the best solution on their behalf. And then running that solution in an automated fashion because chargebacks fluctuate and come in at a random split pace across the month. And what we’re doing is actually handling those cases automatically. So it doesn’t matter if one month, it’s several 100 chargebacks. And the next month, several 100 1000s of chargebacks, we’re gonna get all to all those cases, the same quality. And the final item is really being a data driven solution. So we’re actually running tests on the responses that we’re receiving once one and what’s lost finding where our weak spots are, per issuing bank per card scheme per reason code of the actual chargebacks per payment processor, we’re able to run a B tests there find those weeks that improve on those weak spots. And overall it the win rate and the amount of funds that we recover for our merchants improves over

Victor Swezey 4:03
time. Got it and why are chargebacks such a big problem for businesses? And can you set the scene of you know, I think a lot of banks are aware that there’s been kind of a rise in fraud in recent years. Can you can you go into that a little bit?

Roenen Ben-Ami 4:18
Yeah, definitely. I’ll start by going back to 2008. During the global financial crisis when the term friendly fraud was coined, when the when there was a difficult economic situation, many more illegitimate claims were being made in the online space around chargebacks. And there was a large increase. Then if you go back to pre COVID the rise was around 25 to $50 billion dollars a year were being lost due to friendly fraud chargebacks these illegitimate claims by the card holders and since since COVID, because so much has gone online and The chargeback problem is really an online problem, the majority of chargebacks are happening there, it’s turned into over $125 billion problem and growing, it’s growing in the double digits each year as well. So it’s really a growing issue. And it’s it’s quite a problem for merchants, because I always say the chargeback process has been stuck in the past, it’s still very, very manual with many rules and regulations. The car scheme has changed their rules every year, Visa just came out with new rules around fraud chargebacks, MasterCard last year made all these changes around subscription chargebacks. And there’s many more changes that are going to come. And it’s really the merchants that need to be on top of those rules, as well as manually handling the cases. When the volumes are so high, it’s just not feasible to get to all the cases in a manual fashion.

Victor Swezey 5:52
Can Can you dig in a little bit more to the role that AI plays in? Just how exactly do you use artificial intelligence to help manage this chargeback system?

Roenen Ben-Ami 6:03
Great, so I’ll explain it by where our technology works in the process. And then and then how the AI fits into the technology. So we really started with using the this automated approach by integrating with the actual payment service providers of the merchants, for example, Stripe, Avi and Braintree and many more. So we’re actually become a sub processor on behalf of the merchant and can pull directly their chargeback data from their from their PSPs. But they’re called. And then we have our third party solutions that we use that enrich our data, meaning that we’re able to find out more information about the actual transaction, what else happened in this that specific transaction that can help us understand and tell the story better on this specific case. And then there’s also third, the data points that we can take from the merchant themselves. Many times we can go live without that merchant data. But we can improve the solution. If merchant data is added, it can integrate with our API, or it can send us a CSV report. Once we have all that data in our system, our system is able to work alongside our specialists that are tailoring the solution using our smart tools specific for that merchants needs their end user flow. And then once they’re live with the tailored solution that the AI really kicks in. Once we’re starting to receive recent results on that merchants or cases, once we receive the we receive those results, we can run tests, where are we not performing very well? Where are we can we perform better? Let’s try different data points. Let’s try different arguments, different ways of designing the templates, run different AP tests with different issuing things. So I always say that the issuing banks, the banks of America or chases of the world are reviewing this evidence. And you can see with one one issuing bank, a 60% win rate and another one, a 20% win rate with the same scenario. So each one is analyzing your evidence in a slightly different way. And you have to tailor the solution to each issuing banks preferences.

Victor Swezey 8:21
Could we go through like a banking related case study?

Roenen Ben-Ami 8:24
Yeah, that’s a great point. Because the the chargeback ecosystem doesn’t only affect merchants, in the end, it affects the acquiring banks that are actually allowing the processing for the merchants as well as the issuing banks that are issuing the credit cards to the actual card holders. And as well as the card schemes themselves. And I will say the entire ecosystem of chargebacks is quite manual, and and challenging. And we’ve actually looked into both the pain points of the acquiring banks, as well as the issuers. We even have several pilots running on the issuing side to help them deal with their pain points. But the ecosystem itself has a lot of innovation, yet to come to make this a more efficient, scalable process and a more accurate process. That’s where we really see a lot of our play here is to help make this ecosystem more accurate and making the right decision. So issuing banks when they post the chargeback, they’re actually sending it into the card scheme networks into in a manual fashion posting it into those systems. And when they receive our evidence or return, they’re manually reviewing that evidence, and it’s quite a tedious process for them to do. So we’ve been working on helping them make their process more efficient.

Victor Swezey 9:49
Maybe let’s transition now to you know, a little bit broader scale about Tel Aviv and about what it’s like to be a startup there. So you know, Tel Aviv is we all know it’s a startup hub. Um, can you explain a bit maybe the history of that? And you know, what is exactly the environment for founders like there?

Roenen Ben-Ami 10:07
Yeah, sure. I always say that Tel Aviv is interesting in Israel in general is interesting that because we’re, you know, we’re a small startup country, though we say, we look to innovation not only within the country, but across the world. And we’re always outward looking, how we could change things globally, which a lot of times, you know, I feel like in the US, or in the places in Europe, you’re trying, you’re looking inward, and how you can deal with inefficiencies inside the specific area of the world, Israel really looks outward, and not only dealing with their own inefficiencies, and they see it with many of the startups around us. It’s an amazing environment, I have to say it’s under one very small city, amazing city, but it is a small city, I always, everybody always told me to go to San Francisco experience the startup environment there. It’s a great environment, but it’s very spread out. Tel Aviv is you know, I go down the street and have coffee with our investors, I go walk over to the offices of one of our have one of our merchants that work with us. Everything is in walking distance, it’s very easy and, and collaborative in the same way. Because I can tell you, on a personal level, when we we started to build a building just there were so many other entrepreneurs out there that were helping us with things and learning what we should do and how we should do things. And now that I’m in a situation that I can help, as well, I have many entrepreneurs reaching out to me and asking for my advice on things. And we’re very collaborative, and, and allow room for encouraging each other and to to succeed because we, we’ve all been there. It’s a challenging environment. And it’s nice to be in that collaborative environment.

Victor Swezey 12:05
So, you know, Israel is renowned for producing all kinds of high quality startups, advanced startups in all different industries. But I think especially cybersecurity, and you know, you’re sort of tangential, related to cybersecurity with anti fraud and charge backs. And I was just, I guess, wondering, how do you think this emphasis on high tech security came about? And is it tied at all to Israeli history and society?

Roenen Ben-Ami 12:29
Yeah, I think there’s something there. Especially, you know, as you mentioned, cybersecurity is a really big space and high tech scene in Israel, as well as where we sit more on the FinTech side and anti fraud side. There are a lot of things that are learned in the military here, especially in the intelligence branch that can be adaptable in Israeli into society and civilian life. And I feel that, especially in the in the anti fraud space, I feel like it was a chain reaction, if you look at when PayPal purchased fraud sciences, and Israel really became a hub for the anti fraud space after that, and you saw so many startups from that were ex PayPal, employees that went out to build amazing anti fraud startups. And then it was from the next generation to the next generation because I look at myself, before building just I spent time at startup that was purchased by nove called simplex that two of the founders there were ex Pay Pal employees. So kind of has been passed down from from two different entrepreneurs. And it’s been interesting to see how this chain reaction has occurred, has become a hub for the FinTech, anti fraud sector. So there’s definitely something that you could go back to the military things that have happened there, and then chain reactions that have occurred, and just the the education moving from, from person to person.

Victor Swezey 14:08
You know, where do you think things are going in the future? And what are maybe some fintechs that we should be watching coming out of Israel?

Roenen Ben-Ami 14:16
Yeah, I think there’s a lot of exciting things happening in Israel. I can tell you, for example, we work with a company called millio, which is a really amazing company what they’re doing. They’ve been around even longer than we have, but they’re just doing some really exciting things for SMBs in the United States, allowing them to pay their their actual vendors in an easier fashion through their system, they could pay through credit card, and then they’re behind the scenes paying the actual vendors in whatever way they need to cry. Ach check are many other ways. Another one is mesh, if you’ve heard of them, which is an amazing company, there Dealing with the financial side of companies and being able to manage your finances better and having corporate cards for the employees and allows you to actually manage the finances across the company in a lot more efficient MIT way. And there’s many more the scene is really hot and exciting to be a part of it.

Victor Swezey 15:28
You’ve been listening to “The Buzz,” a Bank Automation News podcast. Please follow us on LinkedIn and Twitter. And as a reminder, you can rate this podcast on your platform of choice. Thank you for your time, and be sure to visit us at finainews.com for more automation news.

Processing chargebacks has long been a time-consuming manual operation for e-commerce merchants, but now AI can be utilized to streamline the procedure for financial institutions.

Tel Aviv, Israel-based fintech Justt uses AI and data insights to automate the process of chargeback mitigation—a $125 billion problem—co-founder and Chief Risk Officer Roenen Ben-Ami tells Bank Automation News during this special edition of the Global Startup Cities podcast from “The Buzz.”

“When [merchants] receive our evidence or return, they’re manually reviewing that evidence, and it’s quite a tedious process for them to do,” Ben-Ami notes. “So, we’ve been working on helping them make their process more efficient.”

Justt’s tech is designed to help vendors navigate a system in which they are typically “guilty until proven innocent,” he says. “It’s actually tailoring the solution at scale per merchant to their end user flow, their industry, so that we could get the best solution on their behalf.”

Founded in 2020, Justt has raised $70 million is venture funding and serves customers including buy-now-pay-later provider Affirm and small-business payments platform Melio, according to its website.

Listen as Justt’s Ben-Ami discusses automating chargebacks and his experience as a founder in Tel Aviv, the startup capital of the Middle East and a global leader in cybersecurity innovation.

Subscribe to The Buzz Podcast on  iTunes, Spotify, Google podcasts, or download the episode. 

The following is a transcript generated by AI technology that has been lightly edited but still contains errors. 

Victor Swezey 0:02
Hello and welcome to a special edition of “The Buzz,” a Bank Automation News podcast. Today is July 25 2023. My name is Victor Swezey, and I’m the editorial intern at Bank Automation News. Today is the second episode of our Global Startup Cities series, where we take you to some of the most innovative tech hubs around the world to give you a look at these startup cultures and the markets they serve. Along the way, we’ll be talking to 10 tech founders from these cities about the products they’re bringing to market. This week, we’ll be traveling to Tel Aviv, the capital of Israel, the Middle East’s startup nation. For years, Tel Aviv has been churning out innovative startups across multiple verticals, including social trading platform eToro and cybersecurity firm winds. As of March, the city alone was home to 95 unicorns, according to the Times of Israel. Joining me today is the founder of just a startup using AI to automate chargeback mitigation for E commerce merchants and banks. Please welcome Roenen Ben-Ami.Roenen Ben-Ami 1:08
Great to be here. Great to meet you, Victor. Thanks for having me. So I’m Roenen, I’m the co founder and chief risk officer adjust just solves the problem of chargebacks from mine merchants at the post transaction stage. In order to explain that I always like to give an example of what a chargeback is. So we’re all on the same page. So let’s say you’re an online merchant selling a pair of shoes and a cardholder buys those shoes, it’s shipped to their address. After receiving the merchandise, that cardholder has the ability to dispute that transaction. And many times it could be an innocent mistake, they forgot what they purchased. Someone else in the family made the purchase or actual criminal activity of trying to get something for free. What happens at that point is that the cardholder goes to their bank disputes the transaction and receive the funds in return. At that point, the bank, let’s say it’s Bank of America will submit into the card scheme networks Visa or MasterCard, an actual chargeback. And the funds are ultimately taken from the merchant, I say the system is built, that you’re guilty until proven innocent as a merchant, because the funds are automatically taken from the merchant. And unless they handle the process of proving that this chargeback is illegitimate chargeback, based on the reason called what the actual claim is, then they’re going to lose those on them. That process is quite manual with many rules and regulations. And what we have done is taken a three pronged approach to solve this for merchants. And the first approach is really hands free, we realize that merchants don’t have the time, when you don’t have the knowledge or resources to deal with their chargebacks, we take the entire problem onto our shoulders and handle it on their behalf. The second point is being an automated solution. And what we mean by that is really two items. First, it’s actually tailoring the solution at scale per merchant, to their end user flow their industry so that we could get the best solution on their behalf. And then running that solution in an automated fashion because chargebacks fluctuate and come in at a random split pace across the month. And what we’re doing is actually handling those cases automatically. So it doesn’t matter if one month, it’s several 100 chargebacks. And the next month, several 100 1000s of chargebacks, we’re gonna get all to all those cases, the same quality. And the final item is really being a data driven solution. So we’re actually running tests on the responses that we’re receiving once one and what’s lost finding where our weak spots are, per issuing bank per card scheme per reason code of the actual chargebacks per payment processor, we’re able to run a B tests there find those weeks that improve on those weak spots. And overall it the win rate and the amount of funds that we recover for our merchants improves over

Victor Swezey 4:03
time. Got it and why are chargebacks such a big problem for businesses? And can you set the scene of you know, I think a lot of banks are aware that there’s been kind of a rise in fraud in recent years. Can you can you go into that a little bit?

Roenen Ben-Ami 4:18
Yeah, definitely. I’ll start by going back to 2008. During the global financial crisis when the term friendly fraud was coined, when the when there was a difficult economic situation, many more illegitimate claims were being made in the online space around chargebacks. And there was a large increase. Then if you go back to pre COVID the rise was around 25 to $50 billion dollars a year were being lost due to friendly fraud chargebacks these illegitimate claims by the card holders and since since COVID, because so much has gone online and The chargeback problem is really an online problem, the majority of chargebacks are happening there, it’s turned into over $125 billion problem and growing, it’s growing in the double digits each year as well. So it’s really a growing issue. And it’s it’s quite a problem for merchants, because I always say the chargeback process has been stuck in the past, it’s still very, very manual with many rules and regulations. The car scheme has changed their rules every year, Visa just came out with new rules around fraud chargebacks, MasterCard last year made all these changes around subscription chargebacks. And there’s many more changes that are going to come. And it’s really the merchants that need to be on top of those rules, as well as manually handling the cases. When the volumes are so high, it’s just not feasible to get to all the cases in a manual fashion.

Victor Swezey 5:52
Can Can you dig in a little bit more to the role that AI plays in? Just how exactly do you use artificial intelligence to help manage this chargeback system?

Roenen Ben-Ami 6:03
Great, so I’ll explain it by where our technology works in the process. And then and then how the AI fits into the technology. So we really started with using the this automated approach by integrating with the actual payment service providers of the merchants, for example, Stripe, Avi and Braintree and many more. So we’re actually become a sub processor on behalf of the merchant and can pull directly their chargeback data from their from their PSPs. But they’re called. And then we have our third party solutions that we use that enrich our data, meaning that we’re able to find out more information about the actual transaction, what else happened in this that specific transaction that can help us understand and tell the story better on this specific case. And then there’s also third, the data points that we can take from the merchant themselves. Many times we can go live without that merchant data. But we can improve the solution. If merchant data is added, it can integrate with our API, or it can send us a CSV report. Once we have all that data in our system, our system is able to work alongside our specialists that are tailoring the solution using our smart tools specific for that merchants needs their end user flow. And then once they’re live with the tailored solution that the AI really kicks in. Once we’re starting to receive recent results on that merchants or cases, once we receive the we receive those results, we can run tests, where are we not performing very well? Where are we can we perform better? Let’s try different data points. Let’s try different arguments, different ways of designing the templates, run different AP tests with different issuing things. So I always say that the issuing banks, the banks of America or chases of the world are reviewing this evidence. And you can see with one one issuing bank, a 60% win rate and another one, a 20% win rate with the same scenario. So each one is analyzing your evidence in a slightly different way. And you have to tailor the solution to each issuing banks preferences.

Victor Swezey 8:21
Could we go through like a banking related case study?

Roenen Ben-Ami 8:24
Yeah, that’s a great point. Because the the chargeback ecosystem doesn’t only affect merchants, in the end, it affects the acquiring banks that are actually allowing the processing for the merchants as well as the issuing banks that are issuing the credit cards to the actual card holders. And as well as the card schemes themselves. And I will say the entire ecosystem of chargebacks is quite manual, and and challenging. And we’ve actually looked into both the pain points of the acquiring banks, as well as the issuers. We even have several pilots running on the issuing side to help them deal with their pain points. But the ecosystem itself has a lot of innovation, yet to come to make this a more efficient, scalable process and a more accurate process. That’s where we really see a lot of our play here is to help make this ecosystem more accurate and making the right decision. So issuing banks when they post the chargeback, they’re actually sending it into the card scheme networks into in a manual fashion posting it into those systems. And when they receive our evidence or return, they’re manually reviewing that evidence, and it’s quite a tedious process for them to do. So we’ve been working on helping them make their process more efficient.

Victor Swezey 9:49
Maybe let’s transition now to you know, a little bit broader scale about Tel Aviv and about what it’s like to be a startup there. So you know, Tel Aviv is we all know it’s a startup hub. Um, can you explain a bit maybe the history of that? And you know, what is exactly the environment for founders like there?

Roenen Ben-Ami 10:07
Yeah, sure. I always say that Tel Aviv is interesting in Israel in general is interesting that because we’re, you know, we’re a small startup country, though we say, we look to innovation not only within the country, but across the world. And we’re always outward looking, how we could change things globally, which a lot of times, you know, I feel like in the US, or in the places in Europe, you’re trying, you’re looking inward, and how you can deal with inefficiencies inside the specific area of the world, Israel really looks outward, and not only dealing with their own inefficiencies, and they see it with many of the startups around us. It’s an amazing environment, I have to say it’s under one very small city, amazing city, but it is a small city, I always, everybody always told me to go to San Francisco experience the startup environment there. It’s a great environment, but it’s very spread out. Tel Aviv is you know, I go down the street and have coffee with our investors, I go walk over to the offices of one of our have one of our merchants that work with us. Everything is in walking distance, it’s very easy and, and collaborative in the same way. Because I can tell you, on a personal level, when we we started to build a building just there were so many other entrepreneurs out there that were helping us with things and learning what we should do and how we should do things. And now that I’m in a situation that I can help, as well, I have many entrepreneurs reaching out to me and asking for my advice on things. And we’re very collaborative, and, and allow room for encouraging each other and to to succeed because we, we’ve all been there. It’s a challenging environment. And it’s nice to be in that collaborative environment.

Victor Swezey 12:05
So, you know, Israel is renowned for producing all kinds of high quality startups, advanced startups in all different industries. But I think especially cybersecurity, and you know, you’re sort of tangential, related to cybersecurity with anti fraud and charge backs. And I was just, I guess, wondering, how do you think this emphasis on high tech security came about? And is it tied at all to Israeli history and society?

Roenen Ben-Ami 12:29
Yeah, I think there’s something there. Especially, you know, as you mentioned, cybersecurity is a really big space and high tech scene in Israel, as well as where we sit more on the FinTech side and anti fraud side. There are a lot of things that are learned in the military here, especially in the intelligence branch that can be adaptable in Israeli into society and civilian life. And I feel that, especially in the in the anti fraud space, I feel like it was a chain reaction, if you look at when PayPal purchased fraud sciences, and Israel really became a hub for the anti fraud space after that, and you saw so many startups from that were ex PayPal, employees that went out to build amazing anti fraud startups. And then it was from the next generation to the next generation because I look at myself, before building just I spent time at startup that was purchased by nove called simplex that two of the founders there were ex Pay Pal employees. So kind of has been passed down from from two different entrepreneurs. And it’s been interesting to see how this chain reaction has occurred, has become a hub for the FinTech, anti fraud sector. So there’s definitely something that you could go back to the military things that have happened there, and then chain reactions that have occurred, and just the the education moving from, from person to person.

Victor Swezey 14:08
You know, where do you think things are going in the future? And what are maybe some fintechs that we should be watching coming out of Israel?

Roenen Ben-Ami 14:16
Yeah, I think there’s a lot of exciting things happening in Israel. I can tell you, for example, we work with a company called millio, which is a really amazing company what they’re doing. They’ve been around even longer than we have, but they’re just doing some really exciting things for SMBs in the United States, allowing them to pay their their actual vendors in an easier fashion through their system, they could pay through credit card, and then they’re behind the scenes paying the actual vendors in whatever way they need to cry. Ach check are many other ways. Another one is mesh, if you’ve heard of them, which is an amazing company, there Dealing with the financial side of companies and being able to manage your finances better and having corporate cards for the employees and allows you to actually manage the finances across the company in a lot more efficient MIT way. And there’s many more the scene is really hot and exciting to be a part of it.

Victor Swezey 15:28
You’ve been listening to “The Buzz,” a Bank Automation News podcast. Please follow us on LinkedIn and Twitter. And as a reminder, you can rate this podcast on your platform of choice. Thank you for your time, and be sure to visit us at finainews.com for more automation news.

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Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
__cfruidsessionCloudflare sets this cookie to identify trusted web traffic.
__RequestVerificationTokensessionThis cookie is set by web application built in ASP.NET MVC Technologies. This is an anti-forgery cookie used for preventing cross site request forgery attacks.
_abck1 yearThis cookie is used to detect and defend when a client attempt to replay a cookie.This cookie manages the interaction with online bots and takes the appropriate actions.
34f6831605sessionGeneral purpose platform session cookie, used by sites written in JSP. Usually used to maintain an anonymous user session by the server.
a64cedc0bfsessionGeneral purpose platform session cookie, used by sites written in JSP. Usually used to maintain an anonymous user session by the server.
ak_bmsc2 hoursThis cookie is used by Akamai to optimize site security by distinguishing between humans and bots
ARRAffinitysessionARRAffinity cookie is set by Azure app service, and allows the service to choose the right instance established by a user to deliver subsequent requests made by that user.
ARRAffinitySameSitesessionThis cookie is set by Windows Azure cloud, and is used for load balancing to make sure the visitor page requests are routed to the same server in any browsing session.
AWSELBsessionAssociated with Amazon Web Services and created by Elastic Load Balancing, AWSELB cookie is used to manage sticky sessions across production servers.
bm_sz4 hoursThis cookie is set by the provider Akamai Bot Manager. This cookie is used to manage the interaction with the online bots. It also helps in fraud preventions
cf_ob_infopastThe cf_ob_info cookie is set by Cloudflare to provide information on HTTP Status Code returned by the origin web server, the Ray ID of the original failed request and the data center serving the traffic.
cf_use_obpastCloudflare sets this cookie to improve page load times and to disallow any security restrictions based on the visitor's IP address.
CONCRETE5sessionThis cookie is set by the provider Concrete5 web content management system. This is a necessary cookie used for maintaining the user session between pages.
connect.sid1 monthThis cookie is used for authentication and for secure log-in. It registers the log-in information.
cookielawinfo-checkbox-advertisement1 yearSet by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category .
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
cookiesession11 yearThis cookie is set by the Fortinet firewall. This cookie is used for protecting the website from abuse.
crmcsrsessionGeneral purpose platform session cookie, used by sites written in JSP. Usually used to maintain an anonymous user session by the server.
ep20130 minutesThis cookie is set by Wufoo for load balancing, site traffic and preventing site abuse.
JSESSIONIDsessionThe JSESSIONID cookie is used by New Relic to store a session identifier so that New Relic can monitor session counts for an application.
LS_CSRF_TOKENsessionCloudflare sets this cookie to track users’ activities across multiple websites. It expires once the browser is closed.
PHPSESSIDsessionThis cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.
sxa_sitesessionThis cookie is used to identify the webiste visitor's session state across page requests on server.
ts3 yearsPayPal sets this cookie to enable secure transactions through PayPal.
ts_c3 yearsPayPal sets this cookie to make safe payments through PayPal.
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
wordpress_test_cookiesessionThis cookie is used to check if the cookies are enabled on the users' browser.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
CookieDurationDescription
__cf_bm30 minutesThis cookie, set by Cloudflare, is used to support Cloudflare Bot Management.
_zcsr_tmpsessionZoho sets this cookie for the login function on the website.
663a60c55dsessionThis cookie is related to Zoho (Customer Service) Chatbox
bcookie2 yearsLinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognize browser ID.
bscookie2 yearsLinkedIn sets this cookie to store performed actions on the website.
e188bc05fesessionThis cookie is set in relation to Zoho Campaigns
geosessionThis cookie is used for identifying the geographical location by country of the user.
iamcsrsessionZoho (Customer Support) sets this cookie and is used for tracking visitors (for performance purposes)
langsessionLinkedIn sets this cookie to remember a user's language setting.
languagesessionThis cookie is used to store the language preference of the user.
lidc1 dayLinkedIn sets the lidc cookie to facilitate data center selection.
optimizelyEndUserId1 yearOptimizely uses this cookie to store a visitor's unique identifier which is a combination of a timestamp and a random number. Different variations of web parts are shown to users that optimizes the website's user experience.
tableau_localesessionTableau uses this cookie to determine the preferred language and country-setting of the visitor - This allows the website to show content most relevant to that region and language.
UserMatchHistory1 monthLinkedIn sets this cookie for LinkedIn Ads ID syncing.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
CookieDurationDescription
AWSELBCORS20 minutesThis cookie is used by Elastic Load Balancing from Amazon Web Services to effectively balance load on the servers.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
CookieDurationDescription
__gads1 year 24 daysThe __gads cookie, set by Google, is stored under DoubleClick domain and tracks the number of times users see an advert, measures the success of the campaign and calculates its revenue. This cookie can only be read from the domain they are set on and will not track any data while browsing through other sites.
_ga2 yearsThe _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors.
_gcl_au3 monthsProvided by Google Tag Manager to experiment advertisement efficiency of websites using their services.
_gid1 dayInstalled by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously.
ajs_anonymous_idneverThis cookie is set by Segment to count the number of people who visit a certain site by tracking if they have visited before.
ajs_group_idneverThis cookie is set by Segment to track visitor usage and events within the website.
ajs_user_idneverThis cookie is set by Segment to help track visitor usage, events, target marketing, and also measure application performance and stability.
browser_id5 yearsThis cookie is used for identifying the visitor browser on re-visit to the website.
CONSENT2 yearsYouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data.
sid1 yearThe sid cookie contains digitally signed and encrypted records of a user’s Google account ID and most recent sign-in time.
uid1 yearThis is a Google UserID cookie that tracks users across various website segments.
vuid2 yearsVimeo installs this cookie to collect tracking information by setting a unique ID to embed videos to the website.
WMF-Last-Access1 month 21 hours 5 minutesThis cookie is used to calculate unique devices accessing the website.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
CookieDurationDescription
_dc_gtm_UA-1038974-41 minuteUsed to help identify the visitors by either age, gender, or interests by DoubleClick - Google Tag Manager.
_fbp3 monthsThis cookie is set by Facebook to display advertisements when either on Facebook or on a digital platform powered by Facebook advertising, after visiting the website.
_pxhdpastUsed by Zoominfo to enhance customer data.
fr3 monthsFacebook sets this cookie to show relevant advertisements to users by tracking user behaviour across the web, on sites that have Facebook pixel or Facebook social plugin.
IDE1 year 24 daysGoogle DoubleClick IDE cookies are used to store information about how the user uses the website to present them with relevant ads and according to the user profile.
test_cookie15 minutesThe test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies.
VISITOR_INFO1_LIVE5 months 27 daysA cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface.
YSCsessionYSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages.
yt-remote-connected-devicesneverYouTube sets this cookie to store the video preferences of the user using embedded YouTube video.
yt-remote-device-idneverYouTube sets this cookie to store the video preferences of the user using embedded YouTube video.
yt.innertube::nextIdneverThis cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen.
yt.innertube::requestsneverThis cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
CookieDurationDescription
049fc2ef5beb27056b07d9e4c4d13fd3sessionNo description
akaalb_http_misc_subssessionNo description
AnalyticsSyncHistory1 monthNo description
BIGipServermsocu-web-2-rr.webfarm.ms.com.10882sessionNo description
bm_misessionNo description available.
CX_4061522881 yearNo description
DCID20 minutesNo description
debugneverNo description available.
DrupalVisitorMobilesessionNo description available.
ep2033 monthsNo description available.
frbatlanta#langsessionNo description
geo_info1 yearNo description available.
GoogleAdServingTestsessionNo description
li_gc2 yearsNo description
loglevelneverNo description available.
loom_anon_commentsessionNo description available.
loom_referral_videosessionNo description
mkjs_group_idneverNo description available.
mkjs_user_idneverNo description available.
MorganStanley.ClientServ.Common.IPZipAccess.IPZipCookie.DEFAULT_COOKIE_NAMEpastNo description
NSC_us_nbsl-83+63+21+25-91sessionNo description
nyt-a1 yearThis cookie is set by the provider New York Times. This cookie is used for saving the user preferences. It is used in context with video and audio content.
nyt-gdpr6 hoursNo description available.
nyt-purr1 yearNo description available.
OCC_Encrypted_CookiesessionNo description
polleverywhere_session_id14 daysNo description
ppnet_2020sessionNo description available.
ppnet_2777sessionNo description available.
reuters-geosessionNo description
shell#langsessionNo description
smcx_0_last_shown_atsessionNo description available.
tableau_public_negotiated_localesessionNo description available.
vary1 monthNo description
www#langsessionNo description
X-Vive-CountrysessionNo description
xn_uuid1 monthNo description
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