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Podcast: Bank of America exec talks AI-driven automation

‘The Buzz’ speaks with Managing Director, Head of B2B Payable Solutions in Global Transaction Services Lindsay Huston

Whitney McDonaldbyWhitney McDonald
July 11, 2023
in AI
Reading Time: 11 mins read
0
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Bank of America is looking to AI and machine learning within its accounts-payable technology capabilities.

The $3.1 trillion bank plans to use AI for invoice scanning, including the use of AI algorithms that can extract relevant data from invoices, Lindsay Huston, managing director and head of B2B Payment Solutions in Global Transaction Services at Bank of America, tells Bank Automation News on this episode of “The Buzz” podcast.

The AI tech used now for invoice scanning is only about 80% accurate, requiring human intervention for 20% of the work, she said. However, she noted that AI advances will allow the technology to reduce much human intervention going forward.

Listen as Bank of America’s Huston discusses AP automation enhancements through AI and ML.

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.

Whitney McDonald 0:06
Hello and welcome to the buzz of bank automation news podcast. Today is July 11 2023. My name is Whitney McDonald, and I’m the editor of big automation news. Joining me today is Bank of America’s Lindsay Huston. She is here to discuss the bank’s Accounts Payable automation.Lindsay Huston 0:26
Great, thank you, Whitney. And thanks for the invitation. I’m super excited to be here. So my name is Lindsay Huston, and I lead a product team at Bank of America. I’ve been in payments for about 20 years. At Bank of America. Our goal here is just to help make payments easier and digitize payments. We’re helping companies move from paper checks and paper invoices, which are costly and error prone and bad for the moment to electronic payments. We offer solutions for companies anywhere from smaller franchise operator who maybe just wants to outsource their accounts payable altogether. To many Fortune five hundreds who have multiple subsidiaries very complicated processes and requirements, we do custom electronic payment solutions to fit their needs. So either way, our goal is to make AP easier on our customers and free up employee capacity. And my specific capacity in that role is leading the product team and innovation and strategy. They’re

Whitney McDonald 1:22
great. Well talking through some of what you do work on day to day, maybe you could start off by giving us an overview. Bank of America is account payable solutions, and maybe a little bit more broadly the b2b payments solutions.

Lindsay Huston 1:36
Yeah, absolutely. Thanks. I’m really proud of what Bank of America offers. Because we really have industry leading solutions, we are always our goal is to be top to three in every category and industry ranking for our car products in our payments solutions. And we offer a range of solutions for companies of every size. And in every region. When I started the bank, many years ago, I was in a sales capacity. And I worked with companies that were we call our in business banking. So those are companies that are, you know, 20 to 5020 to 50 million in annual revenue. And now, some of those companies and those operators that I’ve known for a while those companies are now a billion dollars in revenue. And we’ve been able to grow with them with our continuum of solutions that support every size company. So I’m super proud of that.

Whitney McDonald 2:22
Now, speaking of the banks solutions, and leveraging the data in specific ways, maybe we could talk through how those solutions actually work and talk through the technology behind them.

Lindsay Huston 2:35
Yeah, absolutely. So we have individual payment products. So a company can use our purchasing card. And they might use that for materials, for example, or we offer a virtual payables for invoice to spend, or we have end to end AP automation solutions, where companies can essentially outsource their payables to us, they send us a file of the payments they want to make. And we enroll the vendors, we maintain all that sensitive account information, we execute all the company’s payments on their behalf, we make sure that those payments actually get executed and follow up with the suppliers. So that’s really a combination of not just technology, like you mentioned, but that hand holding to ensure that that end to end experience for our clients is taken care of. We also have kind of in between solutions. So solutions that can be customized to our client’s buying behavior needs. We can manage the vendor onboarding and the credentials, but then we can let the buyer choose the payment type. Or we have intelligent routing solutions where we can recommend the best payment type based on the buyers preference. And that may be skewed towards working capital or they may be focused on rebate automation. But our job is to really navigate that labyrinth of b2b fintechs find best in breed and partner with them to bring those to our 10s of 1000s of Bank of America customers. Because b2b is really having kind of a renaissance right now. And there’s some solid, mature b2b payment fintechs. And then there are dozens of newer and emerging players. And we know our customers don’t have the resources and time to meet with an evaluate all of these. So what we do on behalf of US customers is get to know all these fintax and evaluate their technologies. And not just their technologies, like I said, also their support model, because many times we see fantastic technologies can fall down if they don’t have the people behind that to make sure that the end to end experience is great for companies. So we really take that on so that buyers don’t have to go and evaluate all of these fintechs on their own.

Whitney McDonald 4:44
Did you may we take that as a step further on what that vetting process entails?

Lindsay Huston 4:51
Yeah, absolutely. So I think of America we we hold risk in very high regard. So we are Not just meeting with the companies and evaluating their leadership, we are doing things like scanning their technologies and looking for vulnerabilities. We have industry leading technologies internally. And because of the size and scale of Bank of America, we often are on the edge of seeing what fraudsters are doing. So when we partner with fintechs, this scale of what we see in our own Bank of America portfolio, we can bring that to the fintechs and say, hey, there are these new vulnerabilities. These are things to look out for. So we’re helping fintechs in that way, with our maturity to help them get better what they’re doing as well.

Whitney McDonald 5:41
Thank you for explaining that. Now, bringing in some numbers last year, your accounts payable automated solutions process $300 billion, which was up 25%. Year over year. Can you talk us through what contributed to that increase in what was driving the adoption of those accounts payable solutions?

Lindsay Huston 6:01
Yeah, actually, we’re looking at what will be 350 billion in the next in a rolling 12 situation right now. And that’s just the digital payments, there are AP automation solutions. But to your point, it’s just been tremendous growth. And I really kind of bucket that into three things here. First is just for buyers, with fraud increasing more companies are seeing the value of payments automation. So in 2022, business email compromise accounted for almost three billions in losses last year. Through our API automation solutions. We hold vendor credentials, vendor account information. We know vendor preferences, because of the networks we manage. We know what time zones the vendors operate within. And we collect all this data and watch these transactions to help prevent fraud and business email compromise and all of these things. Last year, there was a healthcare payer that received a phishing email, we identified the fraud for them, we called the supplier who was an architecture firm that was building a wing for buyers for that buyers hospital. We told that supplier that they’d been hacked. And that actually helped prevent fraud with a lot of their other buyers who had also received a phishing email and not anticipated that fraud and that that architecture firm actually ended up joining our payments network because they realize the benefits of the additional monitoring and the network solution, which goes along with that. So the great story of how we prevent fraud, not just for the buyer, but for the supplier as well.

Whitney McDonald 7:32
Yeah, great example. Thanks for sharing.

Lindsay Huston 7:34
Yeah, another thing that we see driving that growth is supply chain issues. suppliers have more leverage and more power than they have in many times. So our buyers want to find solutions that provide value to the suppliers as well. And that’s, that’s always been here. But this, the pandemic has shined a light on this. So now we have introduced a lot of options that can benefit the supplier and how they get paid. With a card payment things that are as simple as pushing the payment into a suppliers account, where typically it’s a pooled payment. We also offer not just a basic Ach, but an enhanced ACH. So the vendor gets much better reconciliation data, they get custom cashed application files, w h and w nine. So this is making reconciliation a lot easier for the supplier, encouraging them to move away from check as well. And then the industry is also evolving to offer things like proprietary interchange rates as well. So if a supplier is processing millions of spend on card or on ACH to and that cost becomes a challenge, we have a different level where you can set a one to one interchange rate on that card or on that ACH. So instead of playing two and a half percent, it can be one and a half percent. And so that helps also move spend off of check and making it more economically feasible to move that to an electronic payment type. And then lastly, a lot of that increase is being driven because everybody’s being asked to do more with less in our current economic environment and looking at a potential recession, everybody’s looking for cost savings. And this is a really well illustrated by we had a family on regional retail shopping center that does property management, and they wanted to grow but they didn’t have the help headcount to do that in their kind of very manual operations environment. What we saw during the pandemic was they were putting invoices in a folder, passing that desk to desk than going to AP for a data entry. And it’s just they’re losing a wild amount of float from that desk to desk operation. And then on top of that during the during COVID They had to send check printers home with their AP staff, which opened them up for fraud and they had to have check printing parties in the office where they wore masks and printed checks and licked envelopes. And so all of that drove them to Do AP automation because they recognize the the fraud and the risk and the opportunity there. One of the benefits here. Yeah, yeah, it was just and you know, it’s it’s not a typical, we see this a lot. Everybody is looking at, you know, a hiring freeze and reducing expenses. And so they’re looking at how can they reduce headcount or do more with less. And I think one of the really interesting things is, ultimately, as Gen Z becomes more of the workforce, they are going to find it hard to believe that so many companies still do things like sending faxes and cutting checks and walking invoices around and and I think, as we try to backfill boomers who roll off of AP departments, Gen Z’s aren’t going to be willing to do that kind of work. So we’ll have to automate these roles, because there’s not going to be as many people who are willing to work with paper in the way that many have in the past, especially, again, older millennials and Gen Z’s who have grown up in a digital native environment.

Whitney McDonald 11:06
Yeah, I mean, this brings up several areas of opportunity, I’m sure for Bank of America in areas of innovation in this space. So based on this adoption, and move toward digital away from paper, anything that you guys are focused on working on for the second half of 2023.

Lindsay Huston 11:28
Yeah, for us, we’re looking at a lot of AI and ML, right, I’m super excited about the convergence of these, and it’s something that’s super a passion of mine. Everyone’s looking at the most the initial use cases for our worlds would be like, we do invoice digitization right now, and, and with digitization across most companies right now that offer that they’re doing what we call zonal invoice scanning, they’re looking for heading level information in one zone, and they’re looking for detail level information in another zone, and it’s maybe 80% Correct and 20% manual human has to come in and correct information. So now we’re seeing AI for invoice scanning. And the AI algorithms can actually extract relevant data for the invoices much better. That vendor detail the invoice number dates and amounts, they can actually anticipate what formats that should be at. And so that’s going to reduce a lot of human intervention that goes along with invoices. zation.

Whitney McDonald 12:33
Yeah, and you know, of course, all things right now are all AI and how to make it work best for for different financial institutions. So definitely an area that you can look into AI for.

Lindsay Huston 12:45
Absolutely.

Whitney McDonald 12:47
Now, looking ahead, and it doesn’t have to be super short term, but just kind of trying to get a gauge of what payments technology you’re looking out for, or what innovation is exciting right now that you’re monitoring.

Lindsay Huston 13:01
Yeah. For us, I think it’s so interesting. And and I kind of go a different direction with this question. We are always looking forward about the modernization opportunities. But as as just thinking about this question, I think about our customers and once friend of mine for them. And there’s still so much opportunity in what our customers are dealing with in basic API automation. That, you know, we’re excited about real time payments, and we’re excited about machine learning. And we’re excited about AI. But, you know, we, I was meeting with the other day, a well known company that is building rockets, and they are still 100% Check. And they struggle with getting off check. And they struggle with a fraud there. And I think many times there’s actually an inverse relationship between the maturity and technology, technological savviness of a company, and their API automation maturity. And so we’ve seen that repeated many times we another one is a hybrid car company we work with, they have grown super fast, they’ve modernized the modern car technology. And still they’re very behind in how they run their AP. So I get super excited about all the technological advances that the products may offer, but there’s still tremendous headway that we can make. across our entire portfolio of buyers, there’s still a ton of opportunity to help companies mature and advanced their API automation. If the listeners take away anything, it’s that as we look towards the end of the year, potential increase in rates and potential for recession. It’s a really good time to look internally into companies, AP departments, and there’s just tremendous opportunity to digitize As payments to reduce fraud, to improve operations to reduce expenses to be able to take people and put them on more valuable activities by driving automation within their company. So, thank you again for the opportunity to come and meet with you. This has been really fun and maybe we can do this again sometime.

Whitney McDonald 15:22
You’ve been listening to the buzz, a bank automation news podcast, please follow us on LinkedIn. 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 Bank automation news.com For more automation news,

Bank of America is looking to AI and machine learning within its accounts-payable technology capabilities.

The $3.1 trillion bank plans to use AI for invoice scanning, including the use of AI algorithms that can extract relevant data from invoices, Lindsay Huston, managing director and head of B2B Payment Solutions in Global Transaction Services at Bank of America, tells Bank Automation News on this episode of “The Buzz” podcast.

The AI tech used now for invoice scanning is only about 80% accurate, requiring human intervention for 20% of the work, she said. However, she noted that AI advances will allow the technology to reduce much human intervention going forward.

Listen as Bank of America’s Huston discusses AP automation enhancements through AI and ML.

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.

Whitney McDonald 0:06
Hello and welcome to the buzz of bank automation news podcast. Today is July 11 2023. My name is Whitney McDonald, and I’m the editor of big automation news. Joining me today is Bank of America’s Lindsay Huston. She is here to discuss the bank’s Accounts Payable automation.Lindsay Huston 0:26
Great, thank you, Whitney. And thanks for the invitation. I’m super excited to be here. So my name is Lindsay Huston, and I lead a product team at Bank of America. I’ve been in payments for about 20 years. At Bank of America. Our goal here is just to help make payments easier and digitize payments. We’re helping companies move from paper checks and paper invoices, which are costly and error prone and bad for the moment to electronic payments. We offer solutions for companies anywhere from smaller franchise operator who maybe just wants to outsource their accounts payable altogether. To many Fortune five hundreds who have multiple subsidiaries very complicated processes and requirements, we do custom electronic payment solutions to fit their needs. So either way, our goal is to make AP easier on our customers and free up employee capacity. And my specific capacity in that role is leading the product team and innovation and strategy. They’re

Whitney McDonald 1:22
great. Well talking through some of what you do work on day to day, maybe you could start off by giving us an overview. Bank of America is account payable solutions, and maybe a little bit more broadly the b2b payments solutions.

Lindsay Huston 1:36
Yeah, absolutely. Thanks. I’m really proud of what Bank of America offers. Because we really have industry leading solutions, we are always our goal is to be top to three in every category and industry ranking for our car products in our payments solutions. And we offer a range of solutions for companies of every size. And in every region. When I started the bank, many years ago, I was in a sales capacity. And I worked with companies that were we call our in business banking. So those are companies that are, you know, 20 to 5020 to 50 million in annual revenue. And now, some of those companies and those operators that I’ve known for a while those companies are now a billion dollars in revenue. And we’ve been able to grow with them with our continuum of solutions that support every size company. So I’m super proud of that.

Whitney McDonald 2:22
Now, speaking of the banks solutions, and leveraging the data in specific ways, maybe we could talk through how those solutions actually work and talk through the technology behind them.

Lindsay Huston 2:35
Yeah, absolutely. So we have individual payment products. So a company can use our purchasing card. And they might use that for materials, for example, or we offer a virtual payables for invoice to spend, or we have end to end AP automation solutions, where companies can essentially outsource their payables to us, they send us a file of the payments they want to make. And we enroll the vendors, we maintain all that sensitive account information, we execute all the company’s payments on their behalf, we make sure that those payments actually get executed and follow up with the suppliers. So that’s really a combination of not just technology, like you mentioned, but that hand holding to ensure that that end to end experience for our clients is taken care of. We also have kind of in between solutions. So solutions that can be customized to our client’s buying behavior needs. We can manage the vendor onboarding and the credentials, but then we can let the buyer choose the payment type. Or we have intelligent routing solutions where we can recommend the best payment type based on the buyers preference. And that may be skewed towards working capital or they may be focused on rebate automation. But our job is to really navigate that labyrinth of b2b fintechs find best in breed and partner with them to bring those to our 10s of 1000s of Bank of America customers. Because b2b is really having kind of a renaissance right now. And there’s some solid, mature b2b payment fintechs. And then there are dozens of newer and emerging players. And we know our customers don’t have the resources and time to meet with an evaluate all of these. So what we do on behalf of US customers is get to know all these fintax and evaluate their technologies. And not just their technologies, like I said, also their support model, because many times we see fantastic technologies can fall down if they don’t have the people behind that to make sure that the end to end experience is great for companies. So we really take that on so that buyers don’t have to go and evaluate all of these fintechs on their own.

Whitney McDonald 4:44
Did you may we take that as a step further on what that vetting process entails?

Lindsay Huston 4:51
Yeah, absolutely. So I think of America we we hold risk in very high regard. So we are Not just meeting with the companies and evaluating their leadership, we are doing things like scanning their technologies and looking for vulnerabilities. We have industry leading technologies internally. And because of the size and scale of Bank of America, we often are on the edge of seeing what fraudsters are doing. So when we partner with fintechs, this scale of what we see in our own Bank of America portfolio, we can bring that to the fintechs and say, hey, there are these new vulnerabilities. These are things to look out for. So we’re helping fintechs in that way, with our maturity to help them get better what they’re doing as well.

Whitney McDonald 5:41
Thank you for explaining that. Now, bringing in some numbers last year, your accounts payable automated solutions process $300 billion, which was up 25%. Year over year. Can you talk us through what contributed to that increase in what was driving the adoption of those accounts payable solutions?

Lindsay Huston 6:01
Yeah, actually, we’re looking at what will be 350 billion in the next in a rolling 12 situation right now. And that’s just the digital payments, there are AP automation solutions. But to your point, it’s just been tremendous growth. And I really kind of bucket that into three things here. First is just for buyers, with fraud increasing more companies are seeing the value of payments automation. So in 2022, business email compromise accounted for almost three billions in losses last year. Through our API automation solutions. We hold vendor credentials, vendor account information. We know vendor preferences, because of the networks we manage. We know what time zones the vendors operate within. And we collect all this data and watch these transactions to help prevent fraud and business email compromise and all of these things. Last year, there was a healthcare payer that received a phishing email, we identified the fraud for them, we called the supplier who was an architecture firm that was building a wing for buyers for that buyers hospital. We told that supplier that they’d been hacked. And that actually helped prevent fraud with a lot of their other buyers who had also received a phishing email and not anticipated that fraud and that that architecture firm actually ended up joining our payments network because they realize the benefits of the additional monitoring and the network solution, which goes along with that. So the great story of how we prevent fraud, not just for the buyer, but for the supplier as well.

Whitney McDonald 7:32
Yeah, great example. Thanks for sharing.

Lindsay Huston 7:34
Yeah, another thing that we see driving that growth is supply chain issues. suppliers have more leverage and more power than they have in many times. So our buyers want to find solutions that provide value to the suppliers as well. And that’s, that’s always been here. But this, the pandemic has shined a light on this. So now we have introduced a lot of options that can benefit the supplier and how they get paid. With a card payment things that are as simple as pushing the payment into a suppliers account, where typically it’s a pooled payment. We also offer not just a basic Ach, but an enhanced ACH. So the vendor gets much better reconciliation data, they get custom cashed application files, w h and w nine. So this is making reconciliation a lot easier for the supplier, encouraging them to move away from check as well. And then the industry is also evolving to offer things like proprietary interchange rates as well. So if a supplier is processing millions of spend on card or on ACH to and that cost becomes a challenge, we have a different level where you can set a one to one interchange rate on that card or on that ACH. So instead of playing two and a half percent, it can be one and a half percent. And so that helps also move spend off of check and making it more economically feasible to move that to an electronic payment type. And then lastly, a lot of that increase is being driven because everybody’s being asked to do more with less in our current economic environment and looking at a potential recession, everybody’s looking for cost savings. And this is a really well illustrated by we had a family on regional retail shopping center that does property management, and they wanted to grow but they didn’t have the help headcount to do that in their kind of very manual operations environment. What we saw during the pandemic was they were putting invoices in a folder, passing that desk to desk than going to AP for a data entry. And it’s just they’re losing a wild amount of float from that desk to desk operation. And then on top of that during the during COVID They had to send check printers home with their AP staff, which opened them up for fraud and they had to have check printing parties in the office where they wore masks and printed checks and licked envelopes. And so all of that drove them to Do AP automation because they recognize the the fraud and the risk and the opportunity there. One of the benefits here. Yeah, yeah, it was just and you know, it’s it’s not a typical, we see this a lot. Everybody is looking at, you know, a hiring freeze and reducing expenses. And so they’re looking at how can they reduce headcount or do more with less. And I think one of the really interesting things is, ultimately, as Gen Z becomes more of the workforce, they are going to find it hard to believe that so many companies still do things like sending faxes and cutting checks and walking invoices around and and I think, as we try to backfill boomers who roll off of AP departments, Gen Z’s aren’t going to be willing to do that kind of work. So we’ll have to automate these roles, because there’s not going to be as many people who are willing to work with paper in the way that many have in the past, especially, again, older millennials and Gen Z’s who have grown up in a digital native environment.

Whitney McDonald 11:06
Yeah, I mean, this brings up several areas of opportunity, I’m sure for Bank of America in areas of innovation in this space. So based on this adoption, and move toward digital away from paper, anything that you guys are focused on working on for the second half of 2023.

Lindsay Huston 11:28
Yeah, for us, we’re looking at a lot of AI and ML, right, I’m super excited about the convergence of these, and it’s something that’s super a passion of mine. Everyone’s looking at the most the initial use cases for our worlds would be like, we do invoice digitization right now, and, and with digitization across most companies right now that offer that they’re doing what we call zonal invoice scanning, they’re looking for heading level information in one zone, and they’re looking for detail level information in another zone, and it’s maybe 80% Correct and 20% manual human has to come in and correct information. So now we’re seeing AI for invoice scanning. And the AI algorithms can actually extract relevant data for the invoices much better. That vendor detail the invoice number dates and amounts, they can actually anticipate what formats that should be at. And so that’s going to reduce a lot of human intervention that goes along with invoices. zation.

Whitney McDonald 12:33
Yeah, and you know, of course, all things right now are all AI and how to make it work best for for different financial institutions. So definitely an area that you can look into AI for.

Lindsay Huston 12:45
Absolutely.

Whitney McDonald 12:47
Now, looking ahead, and it doesn’t have to be super short term, but just kind of trying to get a gauge of what payments technology you’re looking out for, or what innovation is exciting right now that you’re monitoring.

Lindsay Huston 13:01
Yeah. For us, I think it’s so interesting. And and I kind of go a different direction with this question. We are always looking forward about the modernization opportunities. But as as just thinking about this question, I think about our customers and once friend of mine for them. And there’s still so much opportunity in what our customers are dealing with in basic API automation. That, you know, we’re excited about real time payments, and we’re excited about machine learning. And we’re excited about AI. But, you know, we, I was meeting with the other day, a well known company that is building rockets, and they are still 100% Check. And they struggle with getting off check. And they struggle with a fraud there. And I think many times there’s actually an inverse relationship between the maturity and technology, technological savviness of a company, and their API automation maturity. And so we’ve seen that repeated many times we another one is a hybrid car company we work with, they have grown super fast, they’ve modernized the modern car technology. And still they’re very behind in how they run their AP. So I get super excited about all the technological advances that the products may offer, but there’s still tremendous headway that we can make. across our entire portfolio of buyers, there’s still a ton of opportunity to help companies mature and advanced their API automation. If the listeners take away anything, it’s that as we look towards the end of the year, potential increase in rates and potential for recession. It’s a really good time to look internally into companies, AP departments, and there’s just tremendous opportunity to digitize As payments to reduce fraud, to improve operations to reduce expenses to be able to take people and put them on more valuable activities by driving automation within their company. So, thank you again for the opportunity to come and meet with you. This has been really fun and maybe we can do this again sometime.

Whitney McDonald 15:22
You’ve been listening to the buzz, a bank automation news podcast, please follow us on LinkedIn. 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 Bank automation news.com For more automation news,

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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.
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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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