The TNT Tropang Giga will try and exact revenge against Japanese team Chiba Jets as the two teams face in the East Asia Super League (EASL) competition Wednesday night.

TNT takes another crack at Chiba Jets in EASL

Legacy extended its winning streak in the series against rival Midland High to seven games after a 49-31 win on Oct. 27 at Astound Broadband Stadium.

HS FOOTBALL: Rebels continue success against Bulldogs

To find the right software at the right price, CIOs and CFOs need to take a tandem approach on new technologies and solutions.

CFO, CIO need to be in ‘lockstep’ on software purchases: Olive CEO

In a regional consolation game on Thursday, October 26, 2023, Kittatinny High School staged a fourth quarter comeback to defeat Whippany Park. The final score stood at 21-11 with three seed Kittatinny beating second seed Whippany Park.

Football: Kittatinny Stages Comeback to Top Whippany Park in Regional Consolation Game

Purdue commit Marcos Davila threw for 392 yards and accounted for four total TDs to lead Legacy to a 49-31 win over Midland High in District 2-6A play.

HS FOOTBALL: Rebels use late surge to hold off Bulldogs, 49-31

Ferdinand “Thirdy” Ravena III and the San-en NeoPhoenix stretched their winning ways in Japan B.League Division 1 after a dominant 88-74 win over the Akita Northern Happinets on Saturday night at the CNA Arena in Akita.

Thirdy Ravena, San-en register seventh win in Japan B.League

GAIA Asia Pacific Calls for Stronger Safeguards 27 October 2023 - The Global Alliance for Incinerator Alternatives (GAIA) Asia Pacific, a network of 120

Asian Development Bank (ADB)’s draft Safeguards Policy Falls Short on Ambition

Jacob Savage burst through for a 60-yard run and that followed that up with the 2-point conversion run to give Kittatinny a 14-11 lead. Kevin O’Keefe then ran in it from seven yards out, and Tyler Scarpone added the extra point to make it 21-11.

Kittatinny comes back to top Whippany Park - Football Regional Consolation Game

According to research firm Statista, US is also home to the largest fintech companies worldwide by market capitalisation, with fintech majors Visa, Paypal, and Mastercard dominating the global ecosystem.

India ranks third among countries with most fintech unicorns in 2023; US retains the crown globally: Report

As C-suite responsibilities change, the gap between roles such as the CFO and chief operating officer is narrowing.

Straddling the CFO, COO divide: Brex

Get the most recent info and news about Brex on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

We’re reimagining financial systems so every growing company can realize their full potential. Email us at support@brex.com for help.

Brex

10 Questions for Every Startup Founder: Brex on Rewriting the Rules of Business Finance

This is by (source: ). Blond is a partner at Founders Fund. Twitter thread Sam Blond @samdblond 05-01-2023 https://twitter.com/samdblond/status/1653150044265099265?s=46&t=hLXLvA2wSOmlARX4ZS1fvA&embedable=true&thread=true The lead image for this article was generated by HackerNoon's via the prompt "Billboard” AI Image Generator

Sam Blond: Here's How Brex Ran the Most Successful Billboard Campaign in History

An inquiry into public opinion suggests that fear and confusion could push sensitive personal data out of the country. Data never sleeps. It’s generated every second of the day. So if the United Kingdom (UK) exits the European Union (EU) on October 31st, 2019 without a deal, there should be clear guidelines as to how personal data will be managed and protected. But in reality, there’s a lot of uncertainty surrounding the rules that will govern sensitive personal information stored inside and outside the country. This is evidenced by a recent study conducted by the cloud security firm, . The research was conducted on both sides of the pond (covering the UK and the US) to shed some light on the internal and external perspective on the issue. Artmotion According to the findings, as much as 61% of British respondents didn’t know what laws would apply to their personal data after Brexit. Another 62% weren’t aware of how their data would be protected after the UK left the EU. So while we should have some clarity by now, we are still discussing a lot of “ ” scenarios across the political spectrum and the media. what if Who is currently regulating British customer data? The data generated in the UK is currently governed by the EU’s General Data Protection Regulation (GDPR). But what happens after October 31st? Number 10 Downing Street did set out some , but it was (further adding to the uncertainty surrounding the issue). guidance on data governance last year withdrawn on March 1st, 2019 Who will regulate British customer data after Brexit? The UK government has always maintained that following Brexit, GDPR will be absorbed into British law. But there’s still no indication about when that will happen. founder and CEO, , said “the British government needs to do more to address these issues and mitigate risk. There is a lot of confusion and fear surrounding the impact of Brexit on cloud data, and it will help many business owners if these issues are discussed in greater detail.” Artmotion’s Mateo Meier There’s also cause for concern as a French data protection regulator recently announced that in the event of a no-deal Brexit and the absence of an adequacy decision, that is outside the European Economic Area. the UK would be treated like any other country (or as a third country) It’s also highly likely that other EU country regulators will adopt this approach, and this could have some ramifications for British companies. For example, they might have to implement new protocols to oversee the data transfers by data controllers and data processors. What’s the potential impact of a No-Deal Brexit on British data? To alleviate fear and appease their customers, for example, retailers could migrate customer data to mainland Europe, leading to a loss of jobs and tax revenue. This scenario is highly likely as 53% of respondents preferred neutral and politically stable countries like Switzerland to host their data. Switzerland was followed by Iceland and Norway as suitable destinations to store sensitive personal information. According to Meier, “while the British government was busy engaging in political debates, Switzerland focused on stability and innovation. This has paid off as we’re now seeing an increasing demand for IT infrastructure hosting and backup solutions here in Switzerland.” It’s important to address this issue as 80% of the respondents were unsure if Brexit would have a positive or negative impact on cloud services providers. Only 4.8% of respondents believed that Brexit would have a positive impact on cloud companies. It can also have a far-reaching effect on British businesses as only 12.5% of US customers would choose a UK-based cloud services provider after Brexit. For example, British brands with a global audience might be forced to move their data and operations out of the country to accommodate the demands of their customers. The present situation could also hinder the growth of the British cloud market in the long-term. Even though a hard Brexit is just weeks away, no one really knows for sure what will happen after the UK leaves the EU. So even if the government fails to act, British organizations must explore the complexities surrounding data protection now to avoid potential compliance violations and loss of revenue. Let's take this conversations over to Twitter !

Research Suggests That a Hard Brexit Could Lead to Significant Confusion within the UK Cloud Market

The answer to this question is ‘no one knows’, and all that most of us can do is to guess. Here is my view. Being an entrepreneur and considering that most stats indicate a 10% success rate for start-ups, I wouldn’t want more uncertainty and would vote to stay in the EU. However, that doesn’t mean that I disagree with the arguments of the leave campaigners; for me, the most important thing is to see my start-up succeed, and for that, status quo and clarity work best. Most people may not realise, but the vote on EU referendum could significantly affect our near and distant . Unfortunately, most people will not be able to make informed decisions as both the remain and leave campaigns have done an appalling job of showing a complete unbiased view to the public. future In my article from Feb this year , I had already discussed how uncertainty, pound depreciation, investment, bureaucracy, and lack of talent could affect start-ups after . Now, let’s now think how it may affect the global economies. ‘How will Brexit affect UK startups?’ Brexit Both sides agree that if Brexit happens, both UK and EU will struggle in the short run While both sides disagree on the medium to long term impact of breaking away from the EU, they agree that in the short run, there will be a knee jerk reaction — the pound may depreciate, businesses may suffer, and may result in job losses. In the long run, the leave campaigners believe that it’s the best thing to do. With the amount of information we have, I’m just not sure how anyone could predict our fate going forward. Even if we leave the EU, we are still impacted by the fate of the EU Yes, so, do I agree that we can have the same trade and business relationship with the EU after Brexit like we do now? Maybe, or maybe not. In today’s interconnected world, issues in China affect global economies. Similarly, if after Brexit, the EU weakens, Frexit happens, and Euro suffers, this will have an impact on our economy. With global economy being so fragile, Brexit could lead the World economy back into a recession We still haven’t yet fully recovered from the 2008 recession, and Brexit could take us back to those tough years again. Yes, we can make all decisions based on impact on financial markets, but remember that the lifestyle we live today is a result of capitalism. The rich may get through the short term downturn, but the poor are the ones who’ll suffer the most If you just about get-by or have major monthly payment commitments such as mortgage, etc, be worried, be very worried. If we head right back into recession, it could lead to job losses, pay cuts, and the poor will suffer. The divide between the rich and the poor will only increase. The rich usually can hedge their portfolios, take advantage of beaten down stocks and properties, and can even gain by shorting the markets i.e. making money from the markets and economies declining. Immigration control through Brexit might backfire and result in more job losses for Britons Immigration is one of the key issues raised, and there are different reports as to whether or not immigration helps or adversely affects the British economy and jobs, etc. In the case of Brexit, our friends from Eastern Europe can no longer come and “steal” jobs in the UK. This will result in more jobs for the locals at the lower end of the market, for example in retail, but with lower supply of labour, the costs will rise very quickly. If a recession happens, the consumer spending power will go down and businesses will have to shut down leading to job losses again. Your answer to whether immigration is good or bad typically depends on if you are an economist or a politician. Exports may be competitive if the currency falls, but higher costs of imports could cause inflation and may result in interest rate hikes There is an argument that depreciating currency may be good for exports and economies, but most people forget how it could affect imports and may cause inflation which may require the central bank to take tough measures including higher interest rates on your mortgage. UK may lose the advantage of being in the center of the World and time zones and may not be the first choice for European headquarters for international companies For the last few years, several financial institutions have evaluated whether London is the best place for them to be in Europe. They’ll now have one more reason to move their business elsewhere. Summary For us in the UK, this will be one of the toughest choices that we have had to make in recent years, and I sincerely hope that people weigh in the pros and cons even with the limited information that we have access to. My view is that in 2016, we shouldn’t be building more walls. Who knows, we in the UK may ourselves need help in the future. If you want to stay abreast of breaking news on Brexit, GBP/USD, GBP/EUR, and FTSE100, you can do that on our site . CityFALCON Originally published on Blog CityFALCON

How Will Brexit Affect The UK And World Economies, Start-ups, The Rich, And The Poor?

I’m leaving most of this post to the podcast version as I had a co-host in the form of and we spoke for nearly an hour about Bitspiration, startups in Eastern Europe, Warsaw, WW2, IoT, Booth Babes, Europe vs Silicon Valley and much, much more. Cate Lawrence Podcast All of the Weekly Squeak posts are accompanied by a podcast where I go more in-depth into the topic, subscribe here or listen to the individual episode to the left.

Bitspiration in Warsaw and Brexit

Can Blockchain Help Ease BREXIT?

A Roadmap for Addressing Critical Challenges in Human-Machine Social Systems

This is Part 5 of a 12-part series based on the research paper “Human-Machine Social Systems.” Use the table of links below to navigate to the next part. Table of Links Abstract and Introduction Human-machine interactions Collective outcomes Box 1: Competition in high-frequency trading markets Box 2: Contagion on Twitter Box 3: Cooperation and coordination on Wikipedia Box 4: Cooperation and contagion on Reddit Discussion Implications for research Implications for design Implications for policy Conclusion, Acknowledgments, References, and Competing interests Box 2: Contagion on Twitter Social bots on the micro-blogging platform Twitter (re-branded as X in 2022) are covert automated accounts designed to impersonate humans to boost followers, disseminate information, and promote products. Bots and bot detection methods have co-evolved, resulting in increasingly more sophisticated imitation or detection strategies [177,178,179,180,39,181,182], but detection is inherently limited due to the overlap between covert autonomous bots, managed user accounts, hacked accounts, cyborgs, sock-puppets, and coordinated botnets [24,183,22,184]. Estimates suggest that 9-15% of Twitter users are bots185,182, with bot activity typically increasing around controversial political events [186]. Twitter social bots, who do not follow social instincts but neither succumb to fatigue, engage less in social interactions via replies and mentions than humans but produce more content [187]. The bots mainly retweet – a passive strategy to indicate support and gain followers – but are less successful in attracting friends and followers than humans [182]. Overall, they are less connected and bot-bot (2%), bot-human (19%), and human-bot (3%) interactions are considerably less common than human-human interactions (76%) 1[86]. Despite their rudimentary social behavior and weak network integration, Twitter bots significantly influence political communication, public opinion, elections, and markets. They play an important role in misinformation dissemination in relation to political events [188,189,190,191,192,193,194], COVID-19[195,196], and stock market investment [197]. Bots can affect human interaction networks by encouraging followings and conversations [198] and amplify low-credibility content early on by targeting influential humans through replies and mentions [192]. Bots’ large numbers enhance their visibility and influence to trigger deep information cascades [199]. Bots equally link to true and false news from low-credibility sites, but people prefer false content, making humans ultimately responsible for the spread of false news [200]. Twitter bots significantly contribute to negative sentiment and conflict escalation. Acting from the periphery, they target central human users to exert indirect influence. They amplify existing negative sentiment and selectively promote inflammatory content, often targeting only one of the factions[186]. Their success stems from exploiting human tendencies to connect with similar others and engage with messages that reinforce their beliefs [201]. Consequently, bots increase ideological polarization and negatively affect democratic discourse on social media, as seen in the 2016 US presidential election[202], the 2016 UK Brexit Referendum[201], and the 2017 Catalan independence referendum[186]. In sum, Twitter’s covert social bots are considered harmful, prompting the platform to cull them[203,204]. Their strength lies in indirect action: they skew the platform’s recommendation system to bias content popularity [137] and exploit human behavioral weaknesses like attention seeking, confirmation bias, moral outrage, and ideological homophily. Authors:
(1) Milena Tsvetkova, Department of Methodology, London School of Economics and Political Science, London, United Kingdom;
(2) Taha Yasseri, School of Sociology, University College Dublin, Dublin, Ireland and Geary Institute for Public Policy, University College Dublin, Dublin, Ireland;
(3) Niccolo Pescetelli, Collective Intelligence Lab, New Jersey Institute of Technology, Newark, New Jersey, USA;
(4) Tobias Werner, Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany. This paper is available on arxiv under CC BY 4.0 DEED license. This is Part 5 of a 12-part series based on the research paper “Human-Machine Social Systems.” Use the table of links below to navigate to the next part. This is Part 5 of a 12-part series based on the research paper “Human-Machine Social Systems.” Use the table of links below to navigate to the next part. “ Human-Machine Social Systems .” Human-Machine Social Systems Table of Links Abstract and Introduction Abstract and Introduction Human-machine interactions Human-machine interactions Collective outcomes Collective outcomes Box 1: Competition in high-frequency trading markets Box 1: Competition in high-frequency trading markets Box 2: Contagion on Twitter Box 2: Contagion on Twitter Box 3: Cooperation and coordination on Wikipedia Box 3: Cooperation and coordination on Wikipedia Box 4: Cooperation and contagion on Reddit Box 4: Cooperation and contagion on Reddit Discussion Discussion Implications for research Implications for research Implications for design Implications for design Implications for policy Implications for policy Conclusion, Acknowledgments, References, and Competing interests Conclusion, Acknowledgments, References, and Competing interests Box 2: Contagion on Twitter Social bots on the micro-blogging platform Twitter (re-branded as X in 2022) are covert automated accounts designed to impersonate humans to boost followers, disseminate information, and promote products. Bots and bot detection methods have co-evolved, resulting in increasingly more sophisticated imitation or detection strategies [177,178,179,180,39,181,182], but detection is inherently limited due to the overlap between covert autonomous bots, managed user accounts, hacked accounts, cyborgs, sock-puppets, and coordinated botnets [24,183,22,184]. Estimates suggest that 9-15% of Twitter users are bots185,182, with bot activity typically increasing around controversial political events [186]. Twitter social bots, who do not follow social instincts but neither succumb to fatigue, engage less in social interactions via replies and mentions than humans but produce more content [187]. The bots mainly retweet – a passive strategy to indicate support and gain followers – but are less successful in attracting friends and followers than humans [182]. Overall, they are less connected and bot-bot (2%), bot-human (19%), and human-bot (3%) interactions are considerably less common than human-human interactions (76%) 1[86]. Despite their rudimentary social behavior and weak network integration, Twitter bots significantly influence political communication, public opinion, elections, and markets. They play an important role in misinformation dissemination in relation to political events [188,189,190,191,192,193,194], COVID-19[195,196], and stock market investment [197]. Bots can affect human interaction networks by encouraging followings and conversations [198] and amplify low-credibility content early on by targeting influential humans through replies and mentions [192]. Bots’ large numbers enhance their visibility and influence to trigger deep information cascades [199]. Bots equally link to true and false news from low-credibility sites, but people prefer false content, making humans ultimately responsible for the spread of false news [200]. Twitter bots significantly contribute to negative sentiment and conflict escalation. Acting from the periphery, they target central human users to exert indirect influence. They amplify existing negative sentiment and selectively promote inflammatory content, often targeting only one of the factions[186]. Their success stems from exploiting human tendencies to connect with similar others and engage with messages that reinforce their beliefs [201]. Consequently, bots increase ideological polarization and negatively affect democratic discourse on social media, as seen in the 2016 US presidential election[202], the 2016 UK Brexit Referendum[201], and the 2017 Catalan independence referendum[186]. In sum, Twitter’s covert social bots are considered harmful, prompting the platform to cull them[203,204]. Their strength lies in indirect action: they skew the platform’s recommendation system to bias content popularity [137] and exploit human behavioral weaknesses like attention seeking, confirmation bias, moral outrage, and ideological homophily. Authors: (1) Milena Tsvetkova, Department of Methodology, London School of Economics and Political Science, London, United Kingdom; (2) Taha Yasseri, School of Sociology, University College Dublin, Dublin, Ireland and Geary Institute for Public Policy, University College Dublin, Dublin, Ireland; (3) Niccolo Pescetelli, Collective Intelligence Lab, New Jersey Institute of Technology, Newark, New Jersey, USA; (4) Tobias Werner, Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany. Authors: Authors: (1) Milena Tsvetkova, Department of Methodology, London School of Economics and Political Science, London, United Kingdom; (2) Taha Yasseri, School of Sociology, University College Dublin, Dublin, Ireland and Geary Institute for Public Policy, University College Dublin, Dublin, Ireland; (3) Niccolo Pescetelli, Collective Intelligence Lab, New Jersey Institute of Technology, Newark, New Jersey, USA; (4) Tobias Werner, Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

BREX

brex.com

1K-5K employees

Since 2017

COMPANY RANKING

BREX

EVERGREEN INDEX #4163

Representing this company? Click here to claim and customize this page!

Brex WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

BREX

brex.com

1K-5K employees

Since 2017

COMPANY RANKING

BREX

EVERGREEN INDEX #4163

RELATED COMPANIESRANK

STORIES ABOUT BREX

Representing this company? Click here to claim and customize this page!

Brex WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!