Artificial intelligence (AI) is poised to improve security across the financial landscape. From AI-powered surveillance to automated data extraction, AI technologies are optimizing security efforts for businesses and financial institutions. AI development services are set to disrupt legacy processes like Know Your Customer or KYC for improved verification and enhanced customer experience. AI development for KYC deploys technologies like computer vision, Natural Language Processing (NLP), and machine learning for significant value generation.
In this article, let’s unfold the impact of AI in KYC automation with advanced applications.
Traditional KYC Process
The traditional KYC process is laden with multiple layers of verification stages, both manual and digital. The process begins with the collection of data from millions of customers including prodigious volumes of documents and files. The next step involves manual validation of customer data that make KYC time-consuming, high-cost, and risk-based operation. On top of it, the continuous need for updating customer data in business logs challenges KYC completion with accuracy and efficiency.
According to Mckinsey’s Lab Research,
“Since 2009, banks worldwide have paid over billion in penalties for failing to resolve financial crimes.”
In addition to these challenges, the current KYC process often fails to address security concerns and queries arising from customers. A customer’s application can be off-boarded at any stage due to innumerable compliance issues or quality controls. Consequently, today banks are struggling to clear a large backlog of KYC applications resulting in rising financial crimes and data insecurity.
How does AI Development impact KYC
Artificial intelligence is making remarkable strides in the data analytics domain due to dynamic data processing and validating capabilities. Businesses are beginning to capitalize on AI’s data extraction and processing capabilities to ingest value-based automation in critical KYC processes, such as-
a) Data Extraction and Verification
b) Fraud Detection, and
c) Anti-money laundering Compliance
Let’s take a closer look at how businesses can channelize artificial intelligence services for an accelerated KYC process and enhanced customer experience.
Effective AI Development Techniques and Applications for KYC
Algorithmic advancements and data-driven machine learning development services are key enablers of KYC automation. Here are some innovative AI applications for KYC-
a) Computer Vision for Facial Recognition
ML libraries like OpenCV and TensorFlow can train models for facial detection and gesture recognition of individuals and digital images. Banks can also integrate computer vision solutions in their cloud infrastructure for real-time image processing, analytics, and detect facial spoofing.
b) OCR for document verification
Optical Character Recognition or OCR enables text recognization and extraction from unstructured data such as ID cards, passports, driving license, and PAN Cards. Document verification with OCR can also automate validation of customer signature and detection of anomalies.
With the advent of AI, banks and businesses can rely on machine learning capabilities for real-time fraud detection. Banks can detect fraudulent behavior among customer by deploying the following AI development techniques-
a) Supervised and Unsupervised Machine Learning models
The pattern recognition abilities like data tagging of customer data can categorize fraud and non-fraud patterns. In addition to training models, self-learning systems powered by unsupervised learning can learn itself from system errors and anomalies.
b) Predictive analytics for early fraud detection
AI’s predictive capabilities can also prevent the entry of illegitimate KYC applications by categorizing most likely fraudulent early in the process. Automatic question and answering systems can extract valuable information from customers who suggest higher risk.
Exploring AI Development for KYC with Oodles AI
AI-driven transformation is projected to add a layer of automation in almost every industry. At Oodles, we combine our AI development forces with machine learning algorithms to build seamless verification models for financial institutions. Our most recent development in this field involves the deployment of ML-based APIs to validate customer documents and images in the form of-
a) PAN Card
b) Adhar Card
c) Passports, and
d) Voter ID Cards
The model uses MongoDB to authenticate customer data through tokens. Valid customer data will be stored in the S3 bucket along with image URL and textual information. The model then returns all the actionable data in a JSON file with the concerned system.
Besides, our machine learning capabilities for KYC automation extend to AI-powered computer vision, NLP, and OCR technologies.
Reach out to our AI development team to learn more about our artificial intelligence services.
#AI Development for KYC
The electric scooter revolution has caught on super-fast taking many cities across the globe by storm. eScooters, a renovated version of old-school scooters now turned into electric vehicles are an environmentally friendly solution to current on-demand commute problems. They work on engines, like cars, enabling short traveling distances without hassle. The result is that these groundbreaking electric machines can now provide faster transport for less — cheaper than Uber and faster than Metro.
Since they are durable, fast, easy to operate and maintain, and are more convenient to park compared to four-wheelers, the eScooters trend has and continues to spike interest as a promising growth area. Several companies and universities are increasingly setting up shop to provide eScooter services realizing a would-be profitable business model and a ready customer base that is university students or residents in need of faster and cheap travel going about their business in school, town, and other surrounding areas.
In many countries including the U.S., Canada, Mexico, U.K., Germany, France, China, Japan, India, Brazil and Mexico and more, a growing number of eScooter users both locals and tourists can now be seen effortlessly passing lines of drivers stuck in the endless and unmoving traffic.
A recent report by McKinsey revealed that the E-Scooter industry will be worth― $200 billion to $300 billion in the United States, $100 billion to $150 billion in Europe, and $30 billion to $50 billion in China in 2030. The e-Scooter revenue model will also spike and is projected to rise by more than 20% amounting to approximately $5 billion.
And, with a necessity to move people away from high carbon prints, traffic and congestion issues brought about by car-centric transport systems in cities, more and more city planners are developing more bike/scooter lanes and adopting zero-emission plans. This is the force behind the booming electric scooter market and the numbers will only go higher and higher.
Companies that have taken advantage of the growing eScooter trend develop an appthat allows them to provide efficient eScooter services. Such an app enables them to be able to locate bike pick-up and drop points through fully integrated google maps.
It’s clear that e scooters will increasingly become more common and the e-scooter business model will continue to grab the attention of manufacturers, investors, entrepreneurs. All this should go ahead with a quest to know what are some of the best electric bikes in the market especially for anyone who would want to get started in the electric bikes/scooters rental business.
We have done a comprehensive list of the best electric bikes! Each bike has been reviewed in depth and includes a full list of specs and a photo.
To start us off is the Billy eBike, a powerful go-anywhere urban electric bike that’s specially designed to offer an exciting ride like no other whether you want to ride to the grocery store, cafe, work or school. The Billy eBike comes in 4 color options – Billy Blue, Polished aluminium, Artic white, and Stealth black.
Available in the USA, Europe, Asia, South Africa and Australia.This item ships from the USA. Buyers are therefore responsible for any taxes and/or customs duties incurred once it arrives in your country.
Why Should You Buy This?
**Who Should Ride Billy? **
Both new and experienced riders
**Where to Buy? **Local distributors or ships from the USA.
Featuring a sleek and lightweight aluminum frame design, the 200-Series ebike takes your riding experience to greater heights. Available in both black and white this ebike comes with a connected app, which allows you to plan activities, map distances and routes while also allowing connections with fellow riders.
The Genze 200 series e-Bike is available at GenZe retail locations across the U.S or online via GenZe.com website. Customers from outside the US can ship the product while incurring the relevant charges.
The Norco VLT S2 is a front suspension e-Bike with solid components alongside the reliable Bosch Performance Line Power systems that offer precise pedal assistance during any riding situation.
This item is available via the various Norco bikes international distributors.
Manufactured by Bodo Vehicle Group Limited, the Bodo EV is specially designed for strong power and extraordinary long service to facilitate super amazing rides. The Bodo Vehicle Company is a striking top in electric vehicles brand field in China and across the globe. Their Bodo EV will no doubt provide your riders with high-level riding satisfaction owing to its high-quality design, strength, breaking stability and speed.
This item ships from China with buyers bearing the shipping costs and other variables prior to delivery.
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