IS ARTIFICIAL INTELLIGENCE THE FUTURE OF DEBT COLLECTION? -- Lateral

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AI can be utilised in many different ways when pursuing debt collection. Firstly, software engineered by LATERAL can harness predictive data and analytics to pre-empt debt delinquency by generating actions based on a customer's previous behaviour. Businesses can rely on AI to monitor, provide alerts and even automate responses when there are changes to any key data elements that constitute a customer's risk profile. Using statistical analysis of the historical data of those owing debt, AI can predict the most effective way to ensure a future response from those customers and contact them accordingly – may it be by SMS, WhatsApp, email or Chat. Actions are simplified, automated and personalised.


Why Ditto is Such a Big Deal for 'Pokémon GO'

Forbes - Tech

Ditto is live in Pokémon GO. It marks an important occasion what we might call a struggling sensation: not only is the creature the last of the non-legendary original Pokémon to be introduced into the game, it's also the end of a long, complicated guessing game on the part of the Pokémonning public. Ditto is the first Pokémon added into the game since launch, and that, on its own, marks a major milestone and something to watch as the game prepares to release more creatures either in large groups or piecemeal. This is not the only new content we've gotten since launch. We've also had appraisals, the buddy system, catch-bonuses for medals and the regular series of tweaks to gyms and various other gameplay systems.


What is Suptech? An Overview of this Rapidly Growing Space Fintech Schweiz Digital Finance News - FintechNewsCH

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In the same way technology is changing the financial services industry, technology is also changing how the industry and supervisory authorities implement and enforce regulations. Today, an increasing number of supervisory authorities are turning to technology to support their work, leveraging so-called supervisory technology (suptech) applications to digitize report and regulatory processes. Suptech refers to the use of innovative technology such as artificial intelligence (AI) and machine learning (ML) by supervisory agencies to support supervision. As with other regtech solutions, suptech is about improving efficiency through the use of automation, streamlining administrative and operational procedures, and digitalizing data and working tools. The main goal here is to reduce the burden on firms and allow for more proactive monitoring, better reporting, oversight and overall compliance on the regulator's side.


What is Suptech? An Overview of this Rapidly Growing Space Fintech Schweiz Digital Finance News - FintechNewsCH

#artificialintelligence

In the same way technology is changing the financial services industry, technology is also changing how the industry and supervisory authorities implement and enforce regulations. Today, an increasing number of supervisory authorities are turning to technology to support their work, leveraging so-called supervisory technology (suptech) applications to digitize report and regulatory processes. Suptech refers to the use of innovative technology such as artificial intelligence (AI) and machine learning (ML) by supervisory agencies to support supervision. As with other regtech solutions, suptech is about improving efficiency through the use of automation, streamlining administrative and operational procedures, and digitalizing data and working tools. The main goal here is to reduce the burden on firms and allow for more proactive monitoring, better reporting, oversight and overall compliance on the regulator's side.


Researchers develop machine learning-based detector that stops lateral phishing attacks - Help Net Security

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Lateral phishing attacks – scams targeting users from compromised email accounts within an organization – are becoming an increasing concern in the U.S. Whereas in the past attackers would send phishing scams from email accounts external to an organization, recently there's been an explosion of email-borne scams in which an attackers compromise email accounts within organizations, and then uses those accounts to launch internal phishing emails to fellow employees – the kind of attacks known as lateral phishing. And when a phishing email comes from an internal account, the vast majority of email security systems can't stop it. Existing security systems largely detect cyber attacks that come from the outside, relying on signals like IP and domain reputation, which are ineffective when the email comes from an internal source. Lateral phishing attacks are also costly. FBI data shows that these cyberattacks caused more than $12 billion in losses between 2013-2018.