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IceKredit Raises 47 Million Dollars in Pre-Series C Funding

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Sponsored primarily by Guohe Capital, IceKredit, Inc. has recently acquired $47 million in pre-Series C funding, surpassing the cumulative amount of funding of $44 million generated from all previous funding rounds, which include Angel round, Pre-Series A, Series A, and Series B funding from Frees Fund, Yunqi Partners, China Creation Ventures (CCV), and Youzu Interactive, among others. Moreover, a current stockholder, Yunqi Partners, has become a dedicated sponsor in this round. Other current stockholders also joined the funding. Founder, chairman, and CEO Lingyun Gu plans to utilize these funds in 3 sectors – enlarge the business analytics, big data engineering, and AI teams in R&D; expand business outreach to international markets; and introduce new merge-and-acquisition campaigns with upstream and downstream enterprises to augment and optimize the IceKredit’s ecological composition and operational structure.

IceKredit, Inc. has become a leader in credit risk and credit management. Their team is composed of fintech scientists and engineers who come from ZestFinance, Lending Club, JP Morgan, Bank of America, Capital One, Discover, GE Capital, Barclays, Kabbage, Microsoft, Ant Financial, Tencent, Baidu, and other industry-leading companies in data and finance. 85% have technical expertise among the team of 270+ members at IceKredit. In addition, IceKredit has built 2 AI laboratories located in the United States and China for R&D, composed of Ph.D. graduates from Carnegie Mellon UniversityStanford UniversityColumbia UniversityPurdue University, UC Berkeley, and many more highly-ranked academic institutions. Research-wise, they engage in deep learning, natural language processing, knowledge graph, voice recognition, computer vision, and other contemporary applications of data science and ML.

Yi Song, a staunch advocate of IceKredit and executive director of Guohe Capital, stated that, “IceKredit is an extraordinary and technologically-affine team of business analysts and engineers. They cultivate and motivate the relatively-unexplored application of artificial intelligence to contemporary finance. In addition, they have unparalleled experience in customizing risk management models for a variety of financial-technology enterprises. In the future, we believe that IceKredit could very well become a leader in the developing field of credit risk and credit management driven by AI technologies.”

Chengyu Mao, founder and partner of Yunqi Capital, has also shared some of his aspirational views pertaining to IceKredit. “Yunqi has been a continual pioneer in the fintech industry since early 2014. Ever since its angel investment round, IceKredit has caught and kept our attention and business, and we confidently continue to invest in them. IceKredit has continuously developed novel techniques in AI, big data processing, risk modeling, and business appliances. IceKredit R&D is equipped with in-depth experience and game-changing technology. Influenced by dynamic updates in business regulations as well as unprecedented shifts in consumer behavior, banks are reallocating focus to consumer finance and SME loans. That’s the market in which IceKredit can shine – a 3rd party risk control company can utilize AI technology to improve both the efficacy and efficiency of various financial companies and institutions. Fortunately, there is still a lot of room for IceKredit to develop in the future.”

Since it was founded in 2015, IceKredit has been dedicated to providing service for subprime customers that have not been covered by FICO and other credit bureaus using AI technology, in order to help them get loans with relatively low interest rates. IceKredit’s clients include many regional banks, community banks and credit unions. In recent year, IceKredit also entered Southeast Asia market. After the successful corporation with Oversea-Chinese Banking Corporation in Singapore, IceKredit gradually expanded its reach to market of Indonesia and Thailand. IceKredit has worked instantly with banks in Southeast Asia such as United Overseas Bank and Siam Commercial Bank. In China, IceKredit’s clients include Bank of China, Industrial and Commercial Bank of China, Bank of Communications and other large financial institutions.

Supported by state-of-the-art artificial intelligence technology, IceKredit provides universal risk-management systems for banks and other financial institutions that counteract fraud, admit trustworthy customers, compute and approve financial transactions, enforce security through real-time monitoring and functional alerts, and much more, to accelerate and augment various contemporary business infrastructures and services. Outstanding products such as the IceKredit credit score, integrated enterprise risk control service, intelligent risk decision engine, and knowledge graph computing platform are crucial platforms necessary for any financially-resilient enterprise. IceKredit is in the process of applying artificial intelligence to expedite the development of Inclusive Finance that works for everyone.

In the future, IceKredit will continue to strengthen its technical advantages, optimize its business models, and broaden its overseas market. With the mission of Inclusive Finance, IceKredit will always provide efficient and convenient services for its worldwide partners using advanced artificial intelligence technologies.

SOURCE IceKredit

Fintech

How to identify authenticity in crypto influencer channels

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Modern brands stake on influencer marketing, with 76% of users making a purchase after seeing a product on social media.The cryptocurrency industry is no exception to this trend. However, promoting crypto products through influencer marketing can be particularly challenging. Crypto influencers pose a significant risk to a brand’s reputation and ROI due to rampant scams. Approximately 80% of channels provide fake statistics, including followers counts and engagement metrics. Additionally, this niche is characterized by high CPMs, which can increase the risk of financial loss for brands.

In this article Nadia Bubennnikova, Head of agency Famesters, will explore the most important things to look for in crypto channels to find the perfect match for influencer marketing collaborations.

 

  1. Comments 

There are several levels related to this point.

 

LEVEL 1

Analyze approximately 10 of the channel’s latest videos, looking through the comments to ensure they are not purchased from dubious sources. For example, such comments as “Yes sir, great video!”; “Thanks!”; “Love you man!”; “Quality content”, and others most certainly are bot-generated and should be avoided.

Just to compare: 

LEVEL 2

Don’t rush to conclude that you’ve discovered the perfect crypto channel just because you’ve come across some logical comments that align with the video’s topic. This may seem controversial, but it’s important to dive deeper. When you encounter a channel with logical comments, ensure that they are unique and not duplicated under the description box. Some creators are smarter than just buying comments from the first link that Google shows you when you search “buy YouTube comments”. They generate topics, provide multiple examples, or upload lists of examples, all produced by AI. You can either manually review the comments or use a script to parse all the YouTube comments into an Excel file. Then, add a formula to highlight any duplicates.

LEVEL 3

It is also a must to check the names of the profiles that leave the comments: most of the bot-generated comments are easy to track: they will all have the usernames made of random symbols and numbers, random first and last name combinations, “Habibi”, etc. No profile pictures on all comments is also a red flag.

 

LEVEL 4

Another important factor to consider when assessing comment authenticity is the posting date. If all the comments were posted on the same day, it’s likely that the traffic was purchased.

 

2. Average views number per video

This is indeed one of the key metrics to consider when selecting an influencer for collaboration, regardless of the product type. What specific factors should we focus on?

First & foremost: the views dynamics on the channel. The most desirable type of YouTube channel in terms of views is one that maintains stable viewership across all of its videos. This stability serves as proof of an active and loyal audience genuinely interested in the creator’s content, unlike channels where views vary significantly from one video to another.

Many unauthentic crypto channels not only buy YouTube comments but also invest in increasing video views to create the impression of stability. So, what exactly should we look at in terms of views? Firstly, calculate the average number of views based on the ten latest videos. Then, compare this figure to the views of the most recent videos posted within the past week. If you notice that these new videos have nearly the same number of views as those posted a month or two ago, it’s a clear red flag. Typically, a YouTube channel experiences lower views on new videos, with the number increasing organically each day as the audience engages with the content. If you see a video posted just three days ago already garnering 30k views, matching the total views of older videos, it’s a sign of fraudulent traffic purchased to create the illusion of view stability.

 

3. Influencer’s channel statistics

The primary statistics of interest are region and demographic split, and sometimes the device types of the viewers.

LEVEL 1

When reviewing the shared statistics, the first step is to request a video screencast instead of a simple screenshot. This is because it takes more time to organically edit a video than a screenshot, making it harder to manipulate the statistics. If the creator refuses, step two (if only screenshots are provided) is to download them and check the file’s properties on your computer. Look for details such as whether it was created with Adobe Photoshop or the color profile, typically Adobe RGB, to determine if the screenshot has been edited.

LEVEL 2

After confirming the authenticity of the stats screenshot, it’s crucial to analyze the data. For instance, if you’re examining a channel conducted in Spanish with all videos filmed in the same language, it would raise concerns to find a significant audience from countries like India or Turkey. This discrepancy, where the audience doesn’t align with regions known for speaking the language, is a red flag.

If we’re considering an English-language crypto channel, it typically suggests an international audience, as English’s global use for quality educational content on niche topics like crypto. However, certain considerations apply. For instance, if an English-speaking channel shows a significant percentage of Polish viewers (15% to 30%) without any mention of the Polish language, it could indicate fake followers and views. However, if the channel’s creator is Polish, occasionally posts videos in Polish alongside English, and receives Polish comments, it’s important not to rush to conclusions.

Example of statistics

 

Wrapping up

These are the main factors to consider when selecting an influencer to promote your crypto product. Once you’ve launched the campaign, there are also some markers to show which creators did bring the authentic traffic and which used some tools to create the illusion of an active and engaged audience. While this may seem obvious, it’s still worth mentioning. After the video is posted, allow 5-7 days for it to accumulate a basic number of views, then check performance metrics such as views, clicks, click-through rate (CTR), signups, and conversion rate (CR) from clicks to signups.

If you overlooked some red flags when selecting crypto channels for your launch, you might find the following outcomes: channels with high views numbers and high CTRs, demonstrating the real interest of the audience, yet with remarkably low conversion rates. In the worst-case scenario, you might witness thousands of clicks resulting in zero to just a few signups. While this might suggest technical issues in other industries, in crypto campaigns it indicates that the creator engaged in the campaign not only bought fake views and comments but also link clicks. And this happens more often than you may realize.

Summing up, choosing the right crypto creator to promote your product is indeed a tricky job that requires a lot of resources to be put into the search process. 

Author Nadia Bubennikova, Head of agency  at Famesters

Author

Nadia Bubennikova, Head of agency at Famesters

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Fintech

Central banks and the FinTech sector unite to change global payments space

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The BIS, along with seven leading central banks and a cohort of private financial firms, has embarked on an ambitious venture known as Project Agorá.

Named after the Greek word for “marketplace,” this initiative stands at the forefront of exploring the potential of tokenisation to significantly enhance the operational efficiency of the monetary system worldwide.

Central to this pioneering project are the Bank of France (on behalf of the Eurosystem), the Bank of Japan, the Bank of Korea, the Bank of Mexico, the Swiss National Bank, the Bank of England, and the Federal Reserve Bank of New York. These institutions have joined forces under the banner of Project Agorá, in partnership with an extensive assembly of private financial entities convened by the Institute of International Finance (IIF).

At the heart of Project Agorá is the pursuit of integrating tokenised commercial bank deposits with tokenised wholesale central bank money within a unified, public-private programmable financial platform. By harnessing the advanced capabilities of smart contracts and programmability, the project aspires to unlock new transactional possibilities that were previously infeasible or impractical, thereby fostering novel opportunities that could benefit businesses and consumers alike.

The collaborative effort seeks to address and surmount a variety of structural inefficiencies that currently plague cross-border payments. These challenges include disparate legal, regulatory, and technical standards; varying operating hours and time zones; and the heightened complexity associated with conducting financial integrity checks (such as anti-money laundering and customer verification procedures), which are often redundantly executed across multiple stages of a single transaction due to the involvement of several intermediaries.

As a beacon of experimental and exploratory projects, the BIS Innovation Hub is committed to delivering public goods to the global central banking community through initiatives like Project Agorá. In line with this mission, the BIS will soon issue a call for expressions of interest from private financial institutions eager to contribute to this ground-breaking project. The IIF will facilitate the involvement of private sector participants, extending an invitation to regulated financial institutions representing each of the seven aforementioned currencies to partake in this transformative endeavour.

Source: fintech.globa

The post Central banks and the FinTech sector unite to change global payments space appeared first on HIPTHER Alerts.

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Fintech

TD Bank inks multi-year strategic partnership with Google Cloud

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TD Bank has inked a multi-year deal with Google Cloud as it looks to streamline the development and deployment of new products and services.

The deal will see the Canadian banking group integrate the vendor’s cloud services into a wider portion of its technology solutions portfolio, a move which TD expects will enable it “to respond quickly to changing customer expectations by rolling out new features, updates, or entirely new financial products at an accelerated pace”.

This marks an expansion of the already established relationship between TD Bank and Google Cloud after the group previously adopted the vendor’s Google Kubernetes Engine (GKE) for TD Securities Automated Trading (TDSAT), the Chicago-based subsidiary of its investment banking unit, TD Securities.

TDSAT uses GKE for process automation and quantitative modelling across fixed income markets, resulting in the development of a “data-driven research platform” capable of processing large research workloads in trading.

Dan Bosman, SVP and CIO of TD Securities, claims the infrastructure has so far supported TDSAT with “compute-intensive quantitative analysis” while expanding the subsidiary’s “trading volumes and portfolio size”.

TD’s new partnership with Google Cloud will see the group attempt to replicate the same level of success across its entire portfolio.

Source: fintechfutures.com

The post TD Bank inks multi-year strategic partnership with Google Cloud appeared first on HIPTHER Alerts.

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