Financial Services


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Deploying AI in Financial Services to Ensure High-Quality, Enterprise-Grade Security and Faster Time-to-Market



Financial services teams are adopting AI to automate core financial processes to drive greater speed and accuracy across business processes and seek a competitive edge.

Appen has helped customers in finance deploy AI capabilities at scale in key areas like customer experience, revenue growth and decision-making and turn insights into business value.

We offer the best SaaS & On-Premises data annotation solutions to meet your unique financial business needs.


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We have the most advanced AI-assisted data annotation platform to support a diverse range of use cases, such as chatbots, voice assistants, document analysis, risk management, fraud detection, sentiment analysis and much more. Leverage our suite of multimodal collection and annotation tools and combine them in an automated process with Workflows within the Appen Platform.




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Our Capabilities for Financial Services





Conversational banking

Conversational Banking



Automate time-consuming and mundane processes and offer a streamlined and personalized customer experience. With our NLP capabilities and high-quality multilingual training data, you can build Intent and utterance models to train virtual assistants or chatbots to better understand and respond to human interaction, driving a personalized service and higher levels of customer satisfaction.


Regulation Compliance

Regulation Compliance



Automatically curate regulatory content and reduce the risk of making mistakes and oversights. Extract metadata from legal and regulatory documents to automate compliance monitoring using Named Entity Recognition (NER), Entity Extraction and OCR Transcription, saving time and reducing costs.


Financial Advisory

Financial Advisory



Offer customers highly specialized and targeted financial advice and guidance. Train ML models to track customer’s spending and analyze this data to identify their spending patterns, followed by identifying the areas where they can save.


KYC automation

KYC Automation



Streamline the KYC process making it more convenient and customer centric. Computer vision is used to analyze and extract relevant information from images. Through video call, customers can complete their digital verification process quickly.


Fraud Detection

Fraud Detection


Detect unusual activity as it develops, while also identifying which accounts are vulnerable to fraud.
AI can target genuine threats and streamline the number of false flags produced by the system. Using Named Entity Recognition (NER), identify entities that are parties to suspect transactions. Computer vision can be used to detect any cheque tampering, by identifying missing or duplicate cheque numbers.


Risk Management

Risk Management


Significantly lower risk levels by analyzing a massive volume of data sources to identify high-risk profiles. By providing your ML model with our annotated training data, it will be able to analyze and recognize high risk customer profiles.


Sentiment Analysis

Sentiment Analysis


Analyze open-ended text customer feedback forms, surveys, or social media posts to accurately understanding customer sentiments. Use NLP-based sentiment analysis to analyze news media related to credit markets and monitor credit sentiments from news media.


Document & contract intelligence

Document & Contract Intelligence


Using Named Entity recognition (NER) and Optical Character Recognition (OCR), AI models can assist in this analysis by automatically extracting relevant clauses and entities from Loan or credit Applications, Financial Leasing Contracts and other relevant documents.





Delivering Confidence for your AI Projects



Quality
Our ADAP platform and skilled project management capabilities use multiple quality control methods and mechanisms to meet and exceed quality standards for training data.
Speed
Our platform and services are purpose- built to handle large scale data collection and annotation projects, on demand. Our platform's built-in MLA optimizes throughput and with deep expertise,  planning,  and recruiting to meet a variety of use cases, we can quickly ramp up new projects in new markets.
Scale
With a crowd of over one million skilled contributors operating in 170+ countries and 235+ languages and dialects, we can confidently collect, and label the high volumes of images, text, speech, audio and video data needed to build and improve AI systems.
Security
We provide multiple secure platform and service offerings, secure, remote and on-site contributors, on-premises solutions, secure data access offerings and ISO 27001/ ISO 9001 accredited secure facilities.




Customers Running World-Class AI



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Areas Ripe for AI Adoption with the Help of Training Data:



Fintech

Fintech



  • Core product application
  • Accounting
  • Payments
  • Gateways
  • POSs
  • eCommerce shopping cart checkout
  • Digital currency
  • Peer to peer money transfers

Banking & Investing

Banking & Investing



  • Chatbots / Intelligent Assistants
  • Intelligent assitasts
  • Asset management recommenders
  • Fraud detection / prevention
  • KYC/AML applications - i.e.face
  • recognition, fingerprints, other auth
  • Financial process automation - i.e. moneytransfer batching, timing, cash management
  • Quantitiative Finance
  • Signal processing / Sentiment analysis
  • Recommender systems
  • Contract management

Insurance

Insurance



  • Claims management
  • Automatic underwriting
  • Policy management
  • Chatbots
  • Intelligent assistants
  • Fraud detection / prevention