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Founder Interview Disclosure: , the startup to investor communications platform, has previously sponsored Hacker Noon. AngelLoop Read parts 1, 2 and 3 of this interview: , , & The Entrepreneurial Journey of AngelLoop CEO Igor Feerer How the Problem of Your Current Business Can Lead To Your Next Business What Information Should Founders Share With Their Investors? David Smooke: Lets talk about the product roadmap. Where do you see it going longer term? And then how you look at what’s coming in the shorter term? And simply, how do you prioritize what to build? : Sure, definitely more APIs. We want to automate data capture as much as we can. So, on the founder side, it’s kind of a painful to just ask your teammates to get you the right data sets. So, just with APIs, you just plug and play. Igor Feerer As far the other roadmap items we’re thinking of adding, that just came from talking to users. We launched the baseline product, and strange enough, we started seeing it being used for other purposes than just updating your investors. Like later stage companies or later stage founders they’ll go and raise 20 million dollars, but they don’t sit back and wait for that money to run out, they start fundraising almost immediately. And so what we’re seeing a lot of founders do is not only invite their current stakeholders, but they invite prospective investors into the app and just have these touch points with them. So, that actually spurred an idea. We definitely wants to help founders manage their investor pipeline better, so this means introducing a CRM tool to help them tracking should investors, and then when they’re ready to close, just be as easy as pressing a few clicks, sending out all the paperwork, and closing that round. We want to be a consolidated set of tools. So, definitely cap tables are of interest (for a company). It’s a very static tool, a lot of companies use spreadsheets for it, but just to make it standardized and make it right, we’re building out a cap table with the help of our attorney, a few other advisors who understand the space well so that once you close your round, you can enter in your stakeholder information, we’ll sort it for you, and then you’ll be able to gain access to your cap table anytime you want and just really see it in a very visualized fashion. We’ve actually built it already, it’s just a matter of putting the back end pieces together. On the other side table as well you have investors who are actively looking for tools to help them manage their post funding relationships, and you know, right now they’re managing it on slack, email, spreadsheets and it’s just they have to hire associates or interns just to go chase after their portfolio companies founded for any relevant data. So, we kind of want to think of ourselves as a for investors, just plug into your portfolio companies, capture the right data, have the social tools to help you communicate with them better, and really relying on the platform to improve your bottom line. Mixpanel The APIs for data entry are great to hear…because it is kind of sad to hear stories of these large investment firms having interns running all around filling out spreadsheets. Did you look at spreadsheets as your primary competitor? I mean, yeah, of course. Emails, spreadsheets, they are definitely a competing force, but again, my motto is: it doesn’t matter how many resources you have, if you don’t know how to use them correctly, you’ll never have enough. So, we like to think of AngelLoop as a guide, as a resource, as a roadmap to help you better nurture your investor relationships. Kind of let all the thinking go, but not to mention, we’re a big time-saver. So, the time you spend updating your investors you could be spending actually conversing with them, getting to know them better, maybe sharing a few messages back and forth, but ultimately, your goal is to build these relationships as strong as possible. Yeah, absolutely. I mean, the relationships that really would drive the long term investment. And with the APIs you mentioned earlier, which APIs are they using the most today to get information into the system? So, we actually integrated Plaid. Plaid helps plug them directly into their bank, their banks sends us their transactions, Plaid reconciles their transactions into cash, revenue, expenses, and it just makes their life a lot easier to streamline that. But we are also building APIs into Mixpanel, Google analytics, different CRMs, so it’ll make life a lot easier for a founder that has … it’s a sizeable team they don’t want to chase after and to get any kind of updates, so it’ll just kind of pull the right data from the right sources. Can we shift gears a little bit and talk about the revenue model of AngelLoop? How is it progressing and then how do you see kind of the short term revenue versus the long-term revenue in terms of what the revenue stream it? Certainly. Our business model is a SaaS based model, so companies pay $65 a month to use the platform, investors get it free of charge. The thought process behind that is it’s really important that a company gets all their stakeholders into AngelLoop so if we were to put a fee on the investor side, you wouldn’t get all the investors joining. As far as revenue goes for AngelLoop, we do have 750 customers. We recently got out of data and put up a pay wall, so we’re seeing that growing about 20% to 30% month over month. It is a niche market, so it’s not a billion dollar idea, but it’s definitely an idea that’s helpful to our ecosystems. So, the way I like to think about it is: we’re back office admin for the ecosystem, meaning we help VCs and founders transact information, communicate, collaborate. So, you just look at that overall pie of the money being transacted in our ecosystem, and I think the market is a very small percentage, maybe 5%, so we calculate that this is a 500 million dollar market opportunity and this is just based on the verticals we’re in. So, I definitely see it growing. Not that many companies are doing post funding relationships. Actually two companies are doing post funding relationships, so it’s still a very small market place, but it’s definitely growing because you’ve got different funding channels opening up crowdfunding,like all these ICOs all of a sudden. But VCs and angels, these are definitely the right kind of stakeholders to help you scale your venture, so we’re in the right place and I think the timing is right as well. Yeah, it’s definitely good to be in a space where you can clearly see a lot of value left on the table and it’s definitely a cool thing because a lot of times founders are — instead of trying to capture value that’s left on the table — they’re trying to create new value and put it on the table. Well, look at what’s going on with ICOs, they’re picking up a ton of investors and there’s new type of crypto governance that is being discussed as they wait to help drive business. So ultimately, what you’re doing is relying on people’s advice and feedback and whatever voting rights they have to really help your company succeed. Now, there’s definitely an interest in keeping one person at the helm of the thing, but when they can rely on the resources they have available to give them feedback and ideas, then it’s just kind of supercharges that CEO to do a much better job? Yeah. So, in terms of other companies in the space, you’ve actually already made an acquisition. In January 2016, you acquired SeederBoard. Could you tell us a bit about that acquisition and how it benefited your company? Yeah, certainly. So, remember I told you I was looking for a platform to help me manage my investors at TranscribeMe? Yeah. Well, I kind of found a platform more or less that would suit my needs. It didn’t have anything on the investors side, it didn’t have any on the social tools, but the CEO of that company at that time, he was doing SeederBoard or he was running SeederBoard for quite some time. I think timing wise he was off a little, but I came in, I said, “Hey Tim, I’m in Silicon Valley, there’s plenty of investors here. Why don’t we work out a deal where SeederBoard would be acquired by AngelLoop and we would scale the business here?” And so that gave birth to AngelLoop, but ultimately, AngelLoop added a whole bunch of other features to really streamline that communication and collaboration that a lot of founders and the investors desired. Cool. So, it seems like … is that the core initial product? Yeah, that was the core initial product and no APIs, … it was kind of a shell, if anything. It was a shell, but it was a great idea, there was just a few things that we needed to add to it to make it more UI friendly. And so yeah, it was a pretty interesting acquisition too but me and Tim we still talk, he’s an awesome guy, he helps me out. He works over at Amazon right now and so he’s definitely still in the whole startup ecosystem. But yeah, the SeederBoard acquisition was on point. I has never acquired a company before. Yeah, neither have I. It sounds like it would be kind of fun… you’re taking this existing thing and then mapping it to your vision, and it’s like maybe you have the skeleton and you build out the rest of the body. Absolutely, absolutely. I’m not even going to front. That’s exactly what happened. So, could you tell me a little bit about the rest of your team and what skills you’re prioritizing going forward? Yeah, certainly. So, I always wanted to work with entrepreneurs like myself. I thought there’s definitely a lot of value that they can add to other entrepreneurs, and so why build another wheel or, it’s kind of stand on the shoulders giants. Like what we know from our past experiences, what we can offer to our users so they don’t have to repeat the same mistakes. I was looking for folks in the entrepreneurial realm. I have six people now, all of which have founded a company, sold companies, failed companies, I mean, they definitely have a wealth of experience, but Mike is our product lead. He’s an ex-Green Beret who got into a data, he’s really interested in trying to figure out what makes companies succeed. And the minute he told me that, I’m like, Mike, you got to work with me on this idea. I think there’s plenty of interest from users, but more importantly, there’s a lot of ways we can give back to the community. Then we have Trevor. Trevor is running our product marketing. He himself is an ex-navy vet. And he’s also started a few companies here, he’s been through a few accelerators. He knows what it is investors are looking for, what it is founders are looking for. So he’s definitely helpful. And then Aneesh. He’s our CTO. He’s built a handful of platforms like this, so I definitely trust him with the products. Aside from that, he’s built out his own company, so he understands management, leadership, fundraising, and I thought that was going to be key especially when building out a tools that founders need to help them succeed. Cool. One thing I’ve found, and I’ve been kind of playing around with the product couple of days and just seeing how it works. One of the interesting things I found was definitely the email template, so kind of this idea that whenever you do want to do an update, you’re selecting one of 10 tags or words about what type of update it is, and then you get the base email template. And I was just curious about how you go about creating content for that? As I tried at some different options it actually worked well — like all right, I want to celebrate something, or I want to talk about cash flow, then you would prompt me with a question to answer. The promopt was framing the discussion … a lot of people just haven’t done it before, as the first time entrepreneurs, and then as repeat entrepreneurs, maybe they’ve done it, but it’s nice to have this template. So, are you building these out from your own experience? And how much is how is customer usage driving these different templates for investor communication? Yeah, certainly. So, these templates, they’re kind of a roadmap for startup founders to use in order to get what it is that they’re looking for from their investors. And more importantly, they’re nurturing tools. So, funny enough, we designed our investor update from just looking at the heroes journey storyboard. I mean, give us highlights, give us lowlights, do you have any challenges? Can we help you offer some kudos? I mean, it was kind of inherently designed to get the founder focused on what it is that they need to discuss, but it’s also designed from more of a persuasive angle so that when investors read it, they’re happy with the outcome, which is they’re seeing the positive things taking place in your company, they’re seeing the negative things, they’re seeing how you’re doing as far as your quantitative performance, but they’re also understanding what it is that you’re looking for them to help you with. Overall, you can override that template. You can create your own templates, add whatever it is that you want. At TranscribeMe our template kind of shifted over time just because the company started getting bigger. So, it’s definitely flexible enough to help early stage companies all the way round after round after round. Whatever kind of companies manage their investors. What is the largest company size that’s currently using AngelLoop? So, we got a series C company. They’ve gone through a whole bunch of rounds. They’ve picked up maybe 70 investors, a handful of them are VCs, so they wanted to take solutions to help manage their angel investors. And what they’re using us for is to really, really leverage their early stage investors because those are the folks that came in early, they had enough trust in the founder to give him a check. And so, there’s a lot of value that they bring to the table. The other VCs that they’ve invited are happy with the tool. They even went ahead and invited more of their portfolio companies to start using the tool, so it’s a nice a viral loop if I may, that’s taking place. And then shifting gears a little bit to kind of the market landscape, and feel free to redirect these questions as you see fit. But one thing I was definitely curious about is, do you think Angel List should go into investor management? I think they shouldn’t. I mean, obviously I would say that … No, I mean, I like Naval, I love what he spouts out on Instagram, and Twitter, I love reading his little posts. But just to come back to AngelList, they’re doing an awesome job. They’re helping companies find investors, they are helping companies launch some products, hire more people, and then as far as their syndicates, I think they have some tools, it’s just I don’t want them to go into that business. I’d rather Naval focus on helping companies really grow their company from the pre-funding side of things. Yeah. It’s good to focus on what you’re good at and they seem to already be making a lot of money. It’s really a hard thing to answer. I know they have some reporting functionality, it’s just one companies go on there, they’re there for networking purposes, so they may have overlooked a lot of the close funding value-adds as which we definitely bring to the table.

The AngelLoop Team and Product Roadmap

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Aleksandra Urman, She is a corresponding author from Department of Informatics, University of Zurich, Switzerland;
(2) Mykola Makhortykh, Institute of Communication and Media Studies, University of Bern, Switzerland;
(3) Roberto Ulloa, GESIS - Leibniz-Institut für Sozialwissenschaften, Germany;
(4) Juhi Kulshrestha, Department of Politics and Public Administration, University of Konstanz, Germany. Table of Links Abstract and Introduction
Web search results: biases, inaccuracies and their consequences
Conspiracy theories in the online environments
Research questions
Methodology
Results
Discussion
Limitations
Conclusion and Bibliography Web search results: biases, inaccuracies and their consequences In recent years a growing number of studies, primarily from the fields of computer science and communication science, have examined the presence of various biases in search results. To do so, researchers usually rely on a methodology called algorithm impact auditing - an investigation of the outputs of an algorithmic system - such as SE’s information retrieval and ranking algorithms - with the aim to assess whether they contain biases or inaccuracies (Mittelstadt, 2016; see Bandy, 2021 for an overview of audits across different domains). Algorithm audits in the context of web search have been largely focused on how specific biases lead to distortions in search results (Bandy, 2021). Scholars have found evidence of gender bias in image search (Kay et al., 2015; Otterbacher et al., 2017; Makhortykh et al., 2021a) and in Google’s Knowledge Graph Carousel (Lipani et al., 2021), political bias in text search (Kravets and Toepfl, 2021; Kulshrestha et al., 2019), biases related to historical content in image search (Makhortykh et al., 2021b), and various forms of source-related biases (Diakopoulos et al., 2018; Haim et al., 2018; Kravets and Toepfl, 2021; Makhortykh et al., 2020; Puschmann, 2019; Trielli and Diakopoulos, 2019; Unkel and Haim, 2021; Urman et al., 2021a, 2021b). Further, several studies have documented information inequalities that can arise not only between users of different SEs but also between the users of the same SE due to search personalization or randomization (Hannak et al., 2013; Kliman-Silver et al., 2015; Paramita et al., 2021). Importantly, these inequalities can pertain to information crucial for individual and societal well-being, for instance concerning suicide helplines (Haim et al., 2017) or COVID-19 (Makhortykh et al., 2020). While bias in web search received a lot of attention from scholars, there are only a few studies looking specifically at factually inaccurate information in search results (Bernstam et al., 2008; Bradshaw, 2019; Cooper and Feder, 2004). However, the possibility of web search promoting inaccurate information is concerning for a number of reasons. First, people highly trust the information they encounter through SEs, which are viewed as more reliable sources of information than legacy media (2021 Edelman Trust Barometer | Edelman, n.d.); consequently, the probability of individuals trusting inaccurate information acquired via SEs is high. Second, the mere act of using SEs increases individuals' confidence about their knowledge on the topic and motivates them to conflate external knowledge - that is the one available online - with their own (Ward, 2021). Third, people’s search behaviour and interpretation of results are subject to selective exposure and confirmation bias that leads to them perceiving incorrect information that aligns with their existing attitudes as reliable and dismissing the results that do not align with their attitudes (Knobloch-Westerwick et al., 2015; Nichols, 2017; Suzuki and Yamamoto, 2020). Fourth, search results can sway people’s opinions including on issues as important as voting preferences (Epstein and Robertson, 2015; Zweig, 2017) or commercial brand choices (Jansen et al., 2011). Fifth, inaccuracies in search results can proliferate to other socio-technical and informational systems that are built with reliance on SE outputs such as fake news detection algorithms relying on search outputs for the cues as to which information is false (Shim et al., 2021; Varshney and Vishwakarma, 2021). Considering the potential harm which can be caused by search bias and factually inaccurate information, we suggest that comprehensive auditing of web search is of no less importance than the critical examinations of content appearing on legacy or social media. We strive to add to the body of literature on web search malperformance through an analysis of presence of conspiratorial information in search results. As we highlight below, this is a highly relevant subject due to the role the internet plays in the proliferation of conspiracy theories. This paper is available on arxiv under CC 4.0 license. Authors: (1) Aleksandra Urman, She is a corresponding author from Department of Informatics, University of Zurich, Switzerland; (2) Mykola Makhortykh, Institute of Communication and Media Studies, University of Bern, Switzerland; (3) Roberto Ulloa, GESIS - Leibniz-Institut für Sozialwissenschaften, Germany; (4) Juhi Kulshrestha, Department of Politics and Public Administration, University of Konstanz, Germany. This paper is available on arxiv under CC 4.0 license. Authors: (1) Aleksandra Urman, She is a corresponding author from Department of Informatics, University of Zurich, Switzerland; (2) Mykola Makhortykh, Institute of Communication and Media Studies, University of Bern, Switzerland; (3) Roberto Ulloa, GESIS - Leibniz-Institut für Sozialwissenschaften, Germany; (4) Juhi Kulshrestha, Department of Politics and Public Administration, University of Konstanz, Germany. Table of Links Abstract and Introduction Web search results: biases, inaccuracies and their consequences Conspiracy theories in the online environments Research questions Methodology Results Discussion Limitations Conclusion and Bibliography Abstract and Introduction Abstract and Introduction Web search results: biases, inaccuracies and their consequences Web search results: biases, inaccuracies and their consequences Conspiracy theories in the online environments Conspiracy theories in the online environments Research questions Research questions Methodology Methodology Results Results Discussion Discussion Limitations Limitations Conclusion and Bibliography Conclusion and Bibliography Web search results: biases, inaccuracies and their consequences In recent years a growing number of studies, primarily from the fields of computer science and communication science, have examined the presence of various biases in search results. To do so, researchers usually rely on a methodology called algorithm impact auditing - an investigation of the outputs of an algorithmic system - such as SE’s information retrieval and ranking algorithms - with the aim to assess whether they contain biases or inaccuracies (Mittelstadt, 2016; see Bandy, 2021 for an overview of audits across different domains). Algorithm audits in the context of web search have been largely focused on how specific biases lead to distortions in search results (Bandy, 2021). Scholars have found evidence of gender bias in image search (Kay et al., 2015; Otterbacher et al., 2017; Makhortykh et al., 2021a) and in Google’s Knowledge Graph Carousel (Lipani et al., 2021), political bias in text search (Kravets and Toepfl, 2021; Kulshrestha et al., 2019), biases related to historical content in image search (Makhortykh et al., 2021b), and various forms of source-related biases (Diakopoulos et al., 2018; Haim et al., 2018; Kravets and Toepfl, 2021; Makhortykh et al., 2020; Puschmann, 2019; Trielli and Diakopoulos, 2019; Unkel and Haim, 2021; Urman et al., 2021a, 2021b). Further, several studies have documented information inequalities that can arise not only between users of different SEs but also between the users of the same SE due to search personalization or randomization (Hannak et al., 2013; Kliman-Silver et al., 2015; Paramita et al., 2021). Importantly, these inequalities can pertain to information crucial for individual and societal well-being, for instance concerning suicide helplines (Haim et al., 2017) or COVID-19 (Makhortykh et al., 2020). While bias in web search received a lot of attention from scholars, there are only a few studies looking specifically at factually inaccurate information in search results (Bernstam et al., 2008; Bradshaw, 2019; Cooper and Feder, 2004). However, the possibility of web search promoting inaccurate information is concerning for a number of reasons. First, people highly trust the information they encounter through SEs, which are viewed as more reliable sources of information than legacy media (2021 Edelman Trust Barometer | Edelman, n.d.); consequently, the probability of individuals trusting inaccurate information acquired via SEs is high. Second, the mere act of using SEs increases individuals' confidence about their knowledge on the topic and motivates them to conflate external knowledge - that is the one available online - with their own (Ward, 2021). Third, people’s search behaviour and interpretation of results are subject to selective exposure and confirmation bias that leads to them perceiving incorrect information that aligns with their existing attitudes as reliable and dismissing the results that do not align with their attitudes (Knobloch-Westerwick et al., 2015; Nichols, 2017; Suzuki and Yamamoto, 2020). Fourth, search results can sway people’s opinions including on issues as important as voting preferences (Epstein and Robertson, 2015; Zweig, 2017) or commercial brand choices (Jansen et al., 2011). Fifth, inaccuracies in search results can proliferate to other socio-technical and informational systems that are built with reliance on SE outputs such as fake news detection algorithms relying on search outputs for the cues as to which information is false (Shim et al., 2021; Varshney and Vishwakarma, 2021). Considering the potential harm which can be caused by search bias and factually inaccurate information, we suggest that comprehensive auditing of web search is of no less importance than the critical examinations of content appearing on legacy or social media. We strive to add to the body of literature on web search malperformance through an analysis of presence of conspiratorial information in search results. As we highlight below, this is a highly relevant subject due to the role the internet plays in the proliferation of conspiracy theories.

Web Search Results: Biases, Inaccuracies and Their Consequences

Testing the Extents of AI Empathy: A Nightmare Scenario

এআই সহানুভূতির পরিধি পরীক্ষা করা: একটি দুঃস্বপ্নের দৃশ্য

Testen des Ausmaßes der KI-Empathie: Ein Albtraumszenario

Probando el alcance de la empatía con la IA: un escenario de pesadilla

Tester l’étendue de l’empathie de l’IA : un scénario de cauchemar

एआई सहानुभूति के विस्तार का परीक्षण: एक दुःस्वप्न परिदृश्य

AI 共感の程度をテストする: 悪夢のシナリオ

AI 공감의 범위 테스트: 악몽 시나리오

Testando a extensão da empatia com IA: um cenário de pesadelo

Проверка степени эмпатии ИИ: кошмарный сценарий

Yapay Zeka Empatisinin Kapsamlarını Test Etmek: Bir Kabus Senaryosu

Kiểm tra mức độ đồng cảm của AI: Kịch bản ác mộng

测试人工智能同理心的程度：噩梦场景

Embracing Coding Patterns: a Smarter Approach to Coding Interview Prep

কোডিং প্যাটার্নস: কোডিং ইন্টারভিউ প্রস্তুতির জন্য একটি বুদ্ধিমান পদ্ধতি

Kodierungsmuster: ein intelligenterer Ansatz zur Kodierung der Vorbereitung auf Vorstellungsgespräche

Patrones de codificación: un enfoque más inteligente para la preparación de entrevistas de codificación

Modèles de codage : une approche plus intelligente de la préparation aux entretiens de codage

कोडिंग पैटर्न: साक्षात्कार तैयारी कोडिंग के लिए एक बेहतर दृष्टिकोण

コーディング パターン: コーディング面接の準備に対するより賢明なアプローチ

코딩 패턴: 코딩 인터뷰 준비를 위한 더 스마트한 접근 방식

Padrões de codificação: uma abordagem mais inteligente para preparação para entrevistas de codificação

Шаблоны кодирования: более разумный подход к подготовке к собеседованию по программированию

Kodlama Kalıpları: Kodlama Mülakatı Hazırlığına Daha Akıllı Bir Yaklaşım

Các mẫu mã hóa: Một cách tiếp cận thông minh hơn để chuẩn bị phỏng vấn mã hóa

编码模式：一种更智能的面试准备编码方法

Digitalization and ever-evolving technologies are two factors that shape the world we live in today. As a result of this content innovation, consumer safety has become paramount. In this landscape where online transactions, healthcare, e-commerce, and countless other sectors depend on digitalization, consumer experience and protection have gained a newfound significance. The truth is that customers have more power than ever, and with that power comes a much more need for protection against fraud, privacy breaches, and other virtual risks. This is where consumer protection tools come into play, revolutionizing safety standards across numerous industries. This article will focus on how these tools are influencing the safety of consumers from various fields and their role in transforming safety standards. Consumer Protection Tools: An Overview A consumer journey is different from one industry to another. Thus, consumer protection tools have become a must in enhancing safety. For instance, these tools enable secure online transactions and implement strong fraud detection and prevention mechanisms in the banking and finance sectors. This is a mere example; let’s see how these tools act in different industries. Banking and Finance : The implementation of and two-factor authentication has made online banking transactions remarkably secure. Consumers can confidently manage their finances online, knowing their data is safe. Secure Online Transactions encrypted communication : Advanced algorithms and techniques have empowered financial institutions to detect and prevent fraudulent activities in real-time, saving consumers from financial losses. Fraud Detection and Prevention Healthcare : Stringent privacy regulations and secure data storage solutions have ensured the confidentiality of patient information. Healthcare providers can now securely manage sensitive data while preserving patient trust. Patient Data Privacy : Rigorous testing, certification processes, and tracking mechanisms have improved the safety of medical devices. Patients can rely on the safety and efficacy of medical technology. Medical Device Safety E-commerce : E-commerce platforms have adopted rigorous quality control measures to ensure that products sold meet safety standards. This minimizes the risk of consumers purchasing substandard or hazardous items. It’s one of the consumer's rights to help them achieve the best offer possible. Online Product Safety : Transparency and accountability are fostered through consumer reviews and ratings. Shoppers can make informed decisions, and businesses get incentives to maintain high-quality products and services. Consumer Reviews and Ratings The Role of Regulations and Standards Consumer feedback and client testimonials are a must when it comes to creating the proper protection tools. Consumer protection tools rely on industry-specific regulations and standards to keep things running smoothly. Think of these regulations and standards as the traffic signs on the road to safety. They provide clear rules that companies have to follow, ensuring they always prioritize the well-being of consumers and maintain ethical business practices. These rules and standards act like the guardians of consumer safety, working hand in hand with the broader mission to protect consumers, build trust, and foster responsible business conduct. The Gambling Industry: A Controversial Arena The gambling industry is a multifaceted and complex sector that includes various forms of wagering, from casinos and lotteries to sports betting and online gaming. It generates significant revenue worldwide and plays a vital role in two industries: entertainment and economics. To address the potential harms associated with gambling, there's a growing need for strong consumer protection tools. 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Spending Limits : Reality checks are pop-up reminders that appear during a gambling session to inform players of the time they've spent playing and the amount they've wagered. These reminders encourage players to take breaks and assess their gambling behavior. Reality Checks Rigorous age verification mechanisms are crucial for ensuring that only players of the legal age can access these services. This tool helps prevent underage gambling. Age Verification: Casino operators offer access to support services such as helplines, counseling, and self-help tools for individuals who may be struggling with gambling addiction. These services connect individuals with professionals who can provide guidance and support. Customer Support Services: Regulators and operators must collaborate to implement measures prioritizing player safety while preserving the industry's economic viability. The Future of Consumer Protection Tools Looking ahead, technological advancements hold great potential for further improving . These advancements, when coupled with cross-industry collaboration, could revolutionize consumer protection. safety standards However, ethical considerations must always guide the development and deployment of these tools to ensure that they are used for the benefit of consumers without infringing on their rights. Conclusion Consumer protection tools make a significant impact when creating a safer environment for consumers in various industries. Take the gambling sector, for instance. These tools have shown their ability to deal with complex issues like responsible gambling effectively. And as technology keeps advancing, there's no doubt that consumer protection tools will remain a vital part of ensuring a secure and accountable future for consumers everywhere. Industries can find that sweet spot between innovation and safety by adopting and incorporating these tools into their operations. This ultimately leads to the development of trust and confidence among their customer base, something that's crucial in today's ever-changing business landscape.

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, the Chief Technology Officer at Iterate.ai, discusses what teams need to pay attention to as they plan and execute generative AI strategies across their organizations. Brian Sathianathan 1. What are some of the pros and risks of deploying generative AI right now? In my opinion, the three biggest advantages offers enterprises are speed to market, cost efficiency, and rapid experimentation. Enterprise workforces can assemble applications, analyze data, create content faster at lower cost, and experiment like never before. The risks stem from complexity. If hallucinating generative AI gives company leaders incorrect business insights, generates the wrong content, or gives customers poor digital experiences, generative AI applications can backfire—fast. Solid policies and checks-and-balances are essential to making generative AI work for enterprises. generative AI 2. How should technology leaders approach the use of generative AI in their organizations? My advice: act now. If you wait, you’re too late. But make sure to implement the right processes and guardrails. Keep it simple, test often, and keep going. Also, leaders should commit to private large language models ( ) rather than public options like OpenAI. Looking forward, control over unique data will emerge as the essential differentiator that makes one business’s generative AI application better than its competitors. Private LLMs mean building a unique IP with generative AI, rather than giving data away for free. LLMs 3. What about compliance? As generative AI continues to develop, what steps can the CIO or compliance officer take to proactively address the potential hazards linked to this technology?" Strong generative AI compliance standards will arrive, just as today, we have really good standards and tools for detecting bias in AI. For now, the best approach for CIOs and compliance officers is to look at your existing company policies. For example, say you’re implementing a generative AI version of a bank helpline. What safeguards do your current policies and compliance procedures require? Available generative AI tools can help with rapid experimentation to test and validate application prompts, responses, and behaviors. 4. How should teams overseeing the implementation of generative AI strike a balance between innovation, potential benefits, and practical considerations?" I think generative AI is a revolution, far different from what we had in the past. You have to treat this differently: it’s not a fad that will disappear. The application of generative AI within companies is going to be deep-rooted. Leaders need to think about generative AI as an accelerant they should apply to supercharge as many use cases as possible. Look at your departments, what you provide customers, and critical use cases in your revenue path. 5. Are there misconceptions about generative AI security? What do teams need to keep in mind? Traditional protections like firewalls and intrusion prevention systems aren’t designed to prevent attacks on AI, especially attacks that subvert or divert the AI learning process and basically poison the system. Have controls in place wherever training is involved. Don't make your chatbot learn in real-time and don't update it immediately: you'll end up with the Microsoft problem, where the Tay chatbot became racist within minutes. Keep learning offline and introduce AI interference protections, especially where AI dynamically learns from inputs.

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In June, the young family of generative AI (gen AI) unicorns suddenly got a new member. Inflection AI ripped the chart suggested by CBInsights just a month before and got onto the third position, dethroning Cohere AI. So we have to oblige, and after covering two Gen AI leaders OpenAI and Anthropic, we dive into the precocious startup, Inflection AI. Having introduced its core product, an AI assistant named Pi, in May and published a memo about Inflection-1, a Large Language Model ( ) behind Pi in June, Inflection AI took the industry by storm the same month with an astonishing $1.3 billion in funding and a $4 billion valuation – all within its first two years of existence! LLM The company's sudden surge owes much to the attraction of high-profile investors, including technology luminaries such as Bill Gates, Eric Schmidt, and Reid Hoffman (also a co-founder), along with tech giants and . These financial ties extend beyond mere investments. Microsoft is providing its cloud computing infrastructure to strengthen Inflection's capabilities, while Nvidia, in partnership with CoreWeave, is integrating 20,000 of its H100 GPUs for LLM training. Microsoft Nvidia Let's dive deeper and discover more about the founders, their vision, the development behind the model powering Pi, and other crucial details. Finding them was not that easy! Content Overview The starting point of Inflection Financial and legal situation Mission of Inflection and its founders First product Tech behind Pi (LLM development facts) How Inflection is going to make money? Founders’ attitude toward AI risks A few not widely known facts about Inflection's founders 1. The starting point of Inflection According to the official information, Inflection AI has three founders: Karén Simonyan (Chief Scientist and Co-founder) Reid Hoffman (Co-founder) Mustafa Suleyman (CEO and Co-founder) , Inflection hasn't been very transparent with independent media. Some information available that extends beyond mere press releases or PR work stems from the podcast hosted by Reid Hoffman for Greylock Partners (a VC fund where Hoffman has been a partner since 2009). In January 2022, announcing Mustafa Suleyman as a new partner in Greylock Partners, Reid Hoffman : “I’ve known Mustafa personally for more than a decade. We first met at a pub in London. What struck me most was our inspiring and provocative discussion on the power and potential of AI to help solve some of humanity’s most urgent challenges. It marked the beginning of a deep and lasting friendship between Mustafa and I.” Operating with a low profile said More than a decade ago from 2022 was about a time when Mustafa Suleyman (along with Demis Hassabis and Shane Legg) co-founded DeepMind, one of the first AI research labs. In 2014, it was acquired by Google ( ). In January 2022, Suleyman left Google, joined Greylock Partners, and now the main AI R&D is led by the new structure called Google DeepMind in March 2022, Inflection was born (incubated by Greylock). Located in Palo Alto, California. Introducing Inflection AI on the Greylock website, Suleyman called it an "AI-first consumer products company." However, at that moment he didn't clarify exactly what that meant. 2. Financial situation and legal situation In May 2022, in equity financing, though the source of the capital wasn't immediately clear as Inflection didn't respond to the request for more information. Subsequently, when Inflection announced the $1.3 billion funding round in 2023, they clarified in that the first round was raised from Greylock, Microsoft, Reid Hoffman, Bill Gates, Eric Schmidt, Mike Schroepfer, Demis Hassabis, Will.i.am, Horizons Ventures, and Dragoneer. TechCrunch that Inflection had secured $225 million reported the official press release At some point, the information on Inflection's website changed to describe the company as an "AI studio creating a personal AI for everyone." They chose the same legal structure as did Anthropic: , a new type of corporation to balance the interests of shareholders, materially affected individuals, and the public good. public benefit corporation 3. Mission of Inflection and its founders Introducing Inflection, as always, on the Greylock podcast, , "Our mission was to build a tool that is designed to understand the user, rather than the other way around. We wanted it – whether that be connecting with other human beings, making decisions, figuring out how to navigate a problem at work, or more.” Reid Hoffman said to be more than an answerer of questions but a participant in the dialogue that helps you along your life's path Throughout other interviews about Inflection and its first product Pi, they used words such as 'reliable,' 'ever-present,' 'non-judgmental,' 'kind,' and 'supportive’. To get to the point where a chatbot can be all this sounded like a mission. 4. First product In May 2022, Inflection AI shipped its first core product – Pi, a chatbot with the primary goal to serve as a 'Personal AI'. It’s said that Pi uses emotional intelligence to aim for human-like conversations. While its use case is narrower than other services like ChatGPT, Google’s Bard, or Microsoft’s Bing chatbot, it strives to mimic human conversation patterns. Pi's training incorporates data up to November 2022, and it is committed to user privacy, refraining from using identifiable information in training. WhatsApp, Instagram PMs, Facebook Messenger, iMessage, or via the website – the ways to talk to Pi. The main difference from the most commonly used LLM products is the Pi remembers communications with you. The chatbot is also made to resist starting to flirt with a user. Named for "personal intelligence", Pi functions in several roles like teacher, coach, and confidante, designed to align with individual interests and needs. 5. Tech behind Pi Not much is known about the technology behind Pi. However, a month after its launch, the company revealing its foundation on the proprietary LLM, Inflection-1. According to the website, Pi doesn't utilize any third-party language model APIs. released a memo In the memo, the company stated: "The Inflection-1 architecture, dataset, and training procedure are proprietary, and we omit their details in this memo." What we do know is that Inflection-1 demonstrated impressive performance on the Massive Multitask Language Understanding (MMLU) benchmark, surpassing other well-known LLMs such as Meta's LLaMA, OpenAI's GPT 3.5, and Google's PaLM 540B, particularly in answering trivia questions. Additional information from Inflection's partner, CoreWeave's official website, that Inflection AI utilized 3,500 NVIDIA H100 Tensor Core GPUs and a cluster comprising over 40,000 cables and 500 miles of InfiniBand fiber cables for MLPerf Training benchmark competition submission, achieving an impressive 11-minute training benchmark. confirms , that Inflection AI is working on a cutting-edge supercomputer equipped with 22,000 NVIDIA H100 GPUs that is expected to be one of the largest In the industry, right behind AMD's Frontier. However, there's some debate regarding the true computational power of this setup. While Inflection AI claims that these GPUs could provide 22 exaflops in 16-bit precision mode, suggest that the actual performance might not meet these expectations. There are rumors calculations by The Next Platform Though the model is proprietary, the references that are mentioned in the do not list any in-house research papers. official memo 6. How Inflection is going to make money? There are many unknowns at the moment. The developers are exploring different monetization strategies, including the possibility of adding subscription options. Another option is to keep it free but use ads to earn revenue. Currently, Inflection AI is a free platform available to everyone worldwide. On our request to learn more about the business model, neither Reid Hoffman nor Mustafa Suleyman replied. In another podcast with Reid Hoffman, Mustafa Suleyman stated, “ And likewise, we sort of don’t want to drive the kind of addictive dopamine hits of outrage or anger or despair or viral misinformation. These kinds of things have really incentivized people to spend longer on the platform, and sometimes that’s because they’re getting paid for it. We are very, very conscious that this is a moment that needs to change with AI, and that new business models need to emerge to address this." It’s really important to us that we figure out a monetization mechanic that doesn’t incentivize us to keep you engaged or maybe distracted on the platform for as long as possible. 7. Founders’ attitude toward AI risks Reid Hoffman intentionally chose to be positive about AI. , “So in recent months, He has done so in blog posts, television interviews, and fireside chats. He has spoken to government officials around the world. He hosts three podcasts and a YouTube channel. And in March, he published a book, “Impromptu,” co-written with the A.I. tool . The New York Times reports Mr. Hoffman has engaged in an aggressive thought-leadership regimen to extol the virtues of A.I. GPT-4 “I’m beating the positive drum very loudly, and I’m doing so deliberately,” he said. The 55-year-old sits on the boards of 11 tech companies including , which has gone all in on AI, and eight nonprofits. His venture capital firm, Greylock Partners, has backed at least 37 AI companies.” Microsoft , Reid Hoffman said that the , He thinks that since technology 'always puts tools in the hands of good and bad actors,' throughout our history, we have learned how to figure this out. In the same interview, he said, ' . In an interview to Washington Post conversations about superintelligence divert us from the real risk which is AI in the hands of bad actors. Part of the reason why I beat the drum so firmly in the positive camp is not that I'm risk unaware, and I think we need to navigate them, but oh, my gosh, every month we delay an AI tutor and doctor, for everyone who has a smartphone or has a friend who has a smartphone, just think about the human suffering that is caused by that delay, and that is super important This story was at Turing Post. Consider to receive new episodes straight to your inbox. originally published ing subscrib 8. A few not widely known facts about Inflection Founders Reid Hoffman Reid Hoffman ( ) is among a small group of interconnected tech executives leading the A.I. charge, many of whom also led the last internet boom. on Twitter He is part of the "PayPal Mafia," a group of former PayPal employees who went on to become successful entrepreneurs and investors in the tech industry. Reid Hoffman's entrepreneurial journey has been marked by resilience and determination. After his failure with SocialNet, he became obsessed with scaling and invested heavily in the social networking phenomenon, which eventually led to the co-founding of LinkedIn, the world's largest professional network with a diversified revenue model that includes subscriptions, advertising, and software licensing. He also led the company to its successful acquisition by Microsoft. One of the first investors in OpenAI, he was sitting on its board until March 2023, stepping down to avoid any conflicts of interest with Inflection AI. He still sits on the Board of directors at Microsoft. Reid Hoffman is a proponent of effective altruism (founders of OpenAI and Anthropic have strong ties with EA also), which advocates for using wealth and resources to create the best for the most people. In 2017, he : “If you have wealth, and at least a reasonable moral compass, to ask, “How do you create the most good for the most people?” I’m not saying this is the perfect system. But what’s the better system?” said to the Atlantic Reid Hoffman is a prominent philanthropist and has invested in impact investments through charitable entities. over $1.5 billion Hoffman is an avid fan of Dungeons & Dragons, and he attributes its influence to his thinking about life as a heroic quest with various players coming together to accomplish something. He believes in the power of friendship and considers it the true center of his life. Reid views friendship as a skill that can be learned and improved through asking questions and interacting with others. Mustafa Suleyman ( ) on Twitter He dropped out of Oxford University at 19 to start the Muslim Youth Helpline, a telephone counseling service for Muslims in the UK. He worked as a policy officer on human rights for Ken Livingstone, the Mayor of London, before founding Reos Partners, a ‘systemic change’ consultancy that uses methods from conflict resolution to navigate social problems. In February 2016, Suleyman launched DeepMind Health at the Royal Society of Medicine, a project that builds clinician-led technology for the NHS and other partners to improve frontline healthcare services He received the Commander of the Most Excellent Order of the British Empire (CBE) in 2019 for his influence in the UK technology sector and also accepted the Silicon Valley Visionary Award the same year Within DeepMind, he established the DeepMind Ethics & Society research unit, aiming to study the real-world implications of AI and promote ethical practices in the technology industry. One of the founding members of the Partnership on AI — an organization set up in September 2016 to ensure that AI is developed safely, ethically, and transparently — along with Facebook's AI head Yann LeCun, Microsoft Research director Eric Horvitz, and several others. Suleyman recently proposed a modern Turing test, , “to measure whether a machine has achieved ACI, you give an AI $100,000 and see if it can turn the seed investment into $1 million. To do so, the bot must research an e-commerce business opportunity, generate blueprints for a product, find a manufacturer on a site like Alibaba and then sell the item (complete with a written listing description) on Amazon or Walmart.com.” Suleyman expects AI will pass this more practical threshold sometime in the next two years. according to Bloomberg Karén Simonyan There is much less information about Karén Simonyan. Karén is not active on social media, he has no Twitter, a barely filled , and a well-developed . LinkedIn account Google Scholar page Education & Career History: 🔬 Chief Scientist, Inflection AI (2022 – Present) 🔬 Research Scientist, DeepMind (2014 – 2022) 🔬 Postdoc, University of Oxford (2013 – 2014) 🔬 Ph.D. student, University of Oxford (2009 – 2013) While doing his postdoc in 2013, in Oxford, Karén Simonyan along with Andrew Zisserman created the VGGNet image processing framework. VGGNet won the prestigious ImageNet Challenge. To commercialize it, they created a company Vision Factory AI, which was soon acquired by a not-very-known at that time startup DeepMind Technologies, where in 2014 Simonyan became a Principal Research Scientist. There, he played a key role in various AI breakthroughs, such as AlphaZero, AlphaFold, WaveNet, BigGAN, and Flamingo. While in DeepMind, Karen authored and co-authored numerous publications, including five papers in Nature and Science, accumulating an impressive 180,000 citations. Since he co-founded Inflection AI, only one paper was published with Karén Simonyan as a co-author . HiP: Hierarchical Perceiver That’s it for now. The information about Inflection AI will be constantly updated… Thank you for reading, please feel free to share with your friends and colleagues. This story was at Turing Post. Consider subscribing to receive new episodes straight to your inbox. originally published

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The finance and online transactions world has developed tremendously over the years, with new protocols introduced and employed to enhance safety and security. But it’s still far from perfect. Significant loopholes lead to millions of dollars in losses for businesses and affect their ability to sustain in an increasingly competitive market. If one were to look at the recent figures, the number, as well as the value of online frauds, have been increasing. With credit cards as the primary medium of payment, it’s easier than ever for fraudsters to steal card details and make online payments. This, in turn, affects both the cardholder and the business involved. Businesses lose a large sum annually from chargebacks and the associated fee. Platforms have been working on ways to enhance online security, but the results, so far, have not been very promising. But it will change after the integration of blockchain technology in the payment space. offers several benefits, but a few that will primarily benefit payments are: Blockchain Quick transaction time. Easily accessible logs and data. The inability to modify them. Reduced costs. Transparency. Another significant aspect here is that the data is stored on a network of computers, unlike traditional payment services that keep it on online servers, which are easily hackable, thus putting critical information at risk of being misused. To summarize, with blockchain technology, the data is safe, costs are low, and the process is transparent. Big firms switching to blockchain-inspired payments Because of the concerns shared earlier, several big firms have, of late, made the switch to blockchain-based payment options. As per reports, the transition has been immensely helpful in their expansion, considerably minimized losses, and in some cases, even increased the user base owing to these benefits. And more corporations are expected to jump ship in the coming days. Blockchain-based solutions reduce losses due to chargebacks Chargebacks are one of the merchant’s most dreaded fears, and its graph goes alongside the one for frauds. It is imperative that these are brought under check to eliminate losses and ensure trust between parties. However, the lack of support from banks has been a significant impediment. As per reports, banks have taken a lackadaisical approach when it comes to preventing fraudulent activities and haven’t been very supportive with the chargebacks either. But they can’t be blamed for it all! The sheer volume of chargebacks filed each day has been on the rise, and banks lack the resources to examine the data at hand and minutely observe the intricacies, which leads to it usually favoring the consumer. It led to a trust deficit and increased losses for businesses. Moreso, it sends a signal that consumers won’t be penalized for misconduct or filing false chargebacks, which may, to a certain degree, encourage the behavior. This, too, can be eliminated with the integration of blockchain technology through a decentralized mechanism, wherein a particular set of arbitrators, after collecting the required details from the aggrieved parties, can pass a just judgment. It provides a seamless process, ensures quicker resolution, and doesn’t require a lot of resources. As per reliable sources, online retailers are expected to lose close to $130 billion to online payments between 2018 and 2023, which further highlights the importance of having a systematic plan in place to ensure secure payments and dispose of chargebacks in a way that is satisfactory to all the involved parties. Business and user-oriented operations of blockchain payment solutions Organizations with a central authority usually are not beneficial in situations where multiple parties are involved, and this is where decentralization comes into the picture. The latter ensures trust with and amongst all the involved parties. Also, it’s way safer, thus ensuring that the customer’s personal and banking details are not stolen or misused. Besides, most reliable blockchain solutions offer a 24-hour customer helpline, have clear policies, and usually don’t require personal data. Merchants looking for such blockchain payment solutions can move towards , one that is ticking all the right boxes, or they could also go through the other available options and choose one that best meets their requirements. But remember, blockchain is the future, and its integration with almost all central systems is inevitable. It’s only a matter of time before it achieves mass adoption, and now is the perfect time to switch to a blockchain-based decentralized payment solution for the best results. LeisurePay

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What is burnout? It happens to an overwhelming majority of us. We get excited by our work, go deep for a prolonged period, and try to stretch ourselves. But, at a certain point that spark and passion go. The job we used to love becomes a slog. We feel exhausted, despondent, and increasingly cynical. The UK National Health Service (NHS) lists : 9 common signs of burnout Feeling overwhelmed Having racing thoughts or difficulty concentrating Being irritable Feeling constantly worried, anxious, or scared Feeling a lack of self-confidence Having trouble sleeping or feeling tired all the time Avoiding things or people you are having problems with Eating more or less than usual Drinking or smoking more than usual They also list ‘a difficult or troubled work environment’ as a key cause of burnout. Is developer burnout a problem? In short, yes. Not only is it prevalent, but the impact on people’s health and their work is significant. A study by . found that burnt-out developers are more likely to make mistakes, miss deadlines, and write bug-ridden code. Graziotin et al Health has been seen as a fundamental workplace need in management science for a long time, but it’s important we acknowledge that mental health and physical health are contributors to overall health and well-being, and as such are necessary requirements for any workplace. both The mental health of our colleagues should be a top priority regardless, but the fact it is also intrinsically linked to us delivering great work gives us even greater reason to ensure it’s protected. How common is developer burnout? Shockingly, a found that of developers are suffering from burnout. That means that in an average scrum squad that has 5 developers, at least 4 of them will be suffering from burnout. This demonstrates not only a massive operational problem but a detrimental health issue to an overwhelming majority of our colleagues who clearly need more support and an improved working environment. 2021 survey 83% currently Part of the problem here might be the perceived societal stigma around talking about mental health issues. However, a positive sign here was that roughly a third of respondents to a report responded to a question about mental health, more than twice the percentage that gave feedback in 2020. 2021 Stack Overflow The confidence around talking about mental health and burnout is clearly growing, and it’s high time we had these discussions. How to create an environment that fosters positive mental health So, we know burnout is an issue, but how do we deal with it? We have collated four antidotes that if all applied, are likely to help improve the burnout situation in your workplace. Employee Assistance Programme (EAP) Having an EAP such as is an invaluable part of any employee reward package, and increasingly organizations are providing these services as standard. EAP services are varied but tend to offer a helpline to call to get in touch with therapists when having a challenging day, whilst also offering more regular therapy sessions. Health Assured They can also offer mental health first aid training, health checks, and mental health coaching services too. So, if you’re able to bring this into your organization, do so! If you’re not in that position, make sure you check to see what your company provides, many people have access to these services but are simply not aware! Create a burnout dialogue Creating a working environment that talks openly about burnout is critical to dealing with it. People often feel a stigma attached to discussing any feelings of burnout, but when we look at the data, we know that it’s likely many of our developer colleagues are also experiencing burnout. Organizations should set up check-ins in retrospectives to discuss burnout, and in the spirit of ‘be the change’, if you can lead by example and talk openly with colleagues when feeling that you’re liable to burnout, it will only help you and them alike. We can only deal with things that we acknowledge, after all! Adadot We know burnout is an issue, but how can we spot it in advance rather than only relying on people flagging when they are already struggling? One of Adadot’s core features is well-being tracking, using a host of AI and integrations to surface how you’re doing as an individual and to aggregate team well-being in an anonymized way for team managers. It does this through two groupings that are made up of numerous metrics: Work-life balance The work-life balance pillar is made up of three metrics: Out-of-hours comms Time spent communicating outside of working hours. This helps to show how effectively you’re setting boundaries between work and home outside of working hours Out-of-hours work Time spent working outside of official working hours. This helps to show how effectively you’re setting boundaries between work and home Long hours Time spent working per day. This helps to show if you’re working hours that may negatively impact your well-being. Working Patterns The working patterns pillar is made up of three metrics: Focus time Time available to you for deep and focused work. This helps to show if you’re afforded enough time for productive deep work Fragmentation A number of concurrent projects, programming languages, and communication channels. This helps to detect if you’re having to context switch too much, which can affect your wellbeing Responsiveness Average response time. This helps to show if you’re being responsive but also allowing a healthy amount of time for focused work Using Adadot to get this insight helps you and your team get ahead of the curve and adjust behaviors for the better, before burnout hits. Autonomy and the 20% rule One of the causes of burnout is a lack of autonomy in the workplace, where developers feel they are simply on a coding conveyor belt, churning out whatever they are asked to rather than understanding the bigger picture and having the agency to do what they think will add the most value. Google actually builds this autonomy formally into their working week, allocating to be used on anything they find interesting. This actually led to the creation of both Gmail and Adsense. Without giving their employees this time they would have been far more liable to burnout, and far less likely to have the space to breathe and create these industry-changing products. 20% of an employee’s time Make a change today The case for reflecting on and addressing personal and team burnout is compelling. We’ve walked through four potential ways to tackle this industry-wide epidemic, so, four actions you can take today are: 1: Check to see if your company has an EAP program, if not, ask why 2: Stimulate a burnout dialogue with your teammates 3: Login to to see your well-being data and make a plan for improvement4: Reflect on whether you have enough autonomy at work. If not, flag this. Adadot That’s four quick steps towards a better, healthier, and more productive tomorrow. Over to you. Also published . here

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