To survive in the 21st century, banks and financial institutions must adopt intelligent systems to exploit all types of data.
Asset Performance Optimization
Identify which factors matter to improve products by analyzing product performance data
AI Model Serving to reshape Banking & Finance
Automatize banking & financial services and processes, boosting profitability and reducing costs.
AI is revolutionising the financial and banking industry
$1.2 Trillion
Financial industry investment in AI expected by 2035
23,17%
AI market growth in finance between 2020 and 2025
+80%
Banks applying AI to the industry, worldwide
$447 Billion
Estimated aggregate cost savings for financial organisations by 2023, thanks to AI
To face the new challenges of the Industry, let data drive your business
Making AI systems responsible and trustworthy
The lack of trusted, good-quality information and specific security measures can generate privacy threats.
Making AI systems explainable and valuable
To remain compliant, minimize the risk of making bad business decisions and prove ROI.
Managing the convergence of AI with other technologies
The data center technologies used by financial organizations (virtual machines, shared drives, etc.) do not perform well on fast data / big data.
Training current employees to work with AI systems
To upskill risk and regulatory responsible, who often lack the needed skills to assess AI models’ impact.
AI creating new cyber threats
Data poisoning pollutes the training data to mislead the machine learning algorithm and render the output either obfuscatory or harmful.
Documental analysis
Our customizable solution to make customer onboarding more efficient and manage the entire analysis, control and processing process. From documents to automatic compilation in your management software, for accurate, clean and easy to operate data.
AI Model Services applied to banking and financial activities: a growing potential
Applications
Customer Churn Prevention
Apply deep neural network techniques to predict credit card defaults; identify up/cross-selling opportunities and score leads for maximum conversion rates
Fraud detection and prevention
Prevent automated attacks by detecting and protecting against malicious web behavior
Contract Life-Cycle Management
Analyze custom contracts, policies or other legal documents to speed up processing and reduce errors
Next-Gen Due Diligence Process
Fasten & simplify M&A due diligence process virtualizing enormous volumes of paper documents and applying advanced analytics
Security and Risk Management
Evaluate the activity of users and other entities to discover anomalies that could indicate external security infractions
Cybersecurity is in our DNA
Cs-Aware and Cs-Aware Next are EU-funded projects where tech-companies, Universities and Research Centers collaborate against cyber attacks.
Together, they can take that step forward and improve incident detection, classification and visualization for public and private organizations.
3rdPlace is the tech engine of the consortium and it enables:
- Data collection from both internal sources (eg. Server logs) and external (vertical sites, social media, supply chain database, etc.)
- Advanced Data Analysis through AI in order to detect, classify and visualize cybersecurity incidents in real-time, supporting the prevention or mitigation of cyber attacks.
Our partners
