AI Cloud for Financial Services
AI for Financial Services empowers banks and financial institutions to confidently tackle mounting regulations and competitive pressure with trusted, explainable AI that can be deployed anywhere, including on-premises.
AI in Financial Services
As the financial services industry becomes increasingly complex and fragmented, banks and financial institutions face a growing list of challenges that threaten their bottom-line. Staying ahead of competitive pressures and global regulations increases the necessity for financial institutions to provide differentiated services from more personalized relationships to innovative solutions.
AI for Financial Services is the next-generation technology that enables banks and financial institutions to unlock the art of the possible.
Fraud Detection and Prevention
Detect fraud earlier to reduce financial losses and protect clients from financial harm.
Governance
Reduce model risk, while increasing the transparency and auditability of the model development, implementation, and use process.
Customer Marketing to Client Retention
Monitor the health of customer relationships and use data-driven insights to drive customer loyalty.
Risk Mitigation
Use an AI-driven strategy to operate profitably in a market that traditional banks have avoided for being too risky.
AI Cloud for Banking
AI Cloud for Banking is uniquely designed for the challenges and opportunities facing the banking industry from fraud detection and prevention to client retention and credit risk management.
AI Cloud for Financial Markets
AI Cloud for Financial Markets drives tangible business solutions with trusted, explainable AI to give financial institutions the edge to not just compete, but to win.
DataRobot AI Cloud Partner Ecosystem
See how our partners utilize DataRobot’s AI to activate the full potential of financial services solutions.
DataRobot’s Financial Services Customers Are Shaping the Future
See how responsible AI is transforming the financial services industry
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![DR Customer Success Valley Nat Bkgd]()
Valley Bank Reduces Anti-Money Laundering False Positive Alerts by 22%
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DataRobot AI Cloud for Banking automated modeling for the bank’s AML team, reducing total alert volume by 22 percent and increasing escalation to case by three percentage points.
Read More
Trusted AI for Financial Services
Banks and financial institutions are unlocking the benefits of trusted AI to establish a strong framework of model governance.
DataRobot brings AI-driven solutions to organizations across the financial services industry that delivers clear and trusted outcomes.
Explainability
Understand model behavior based on built-in advanced insights to verify model operation and facilitate important decision-making.
Increase Bias Detection
Reduce bias by applying our fairness tools specifically tailored for evaluating, understanding, and ultimately mitigating bias in AI.
Ensure Compliance
Maintain governance with automatically supplied well-formatted compliance documentation, detailing the data and the modeling approach transparently to aid in establishing a clear understanding of model design and operations for regulators.
Strengthen Privacy
Safeguard security with industry-leading AI Trust technology combined with key privacy and security certifications including ISO 27001, SOC2 Type II, GDPR, CCPA and more.
Monitor Model Performance
Apply machine learning governance from output validation to accuracy testing in order to manage model risk and ensure optimal model behavior.
AI Framework for Financial Services
Confidently manage the model lifecycle from development to monitoring and maximize business impact.
DataRobot delivers a first-class end-to-end platform that is adaptive, shifting and adjusting to even the most unpredictable market conditions, anticipating moments of change and continuously optimizing machine learning models.
Deploy Anywhere
Flexibility to deploy DataRobot on premises, on the cloud and at the edge to support industry requirements for security, data governance and locality.
MLOps
MLOps extended to all models including external and DataRobot. Advanced MLOps capabilities are integrated with enterprise security and governance processes and tools, ensuring support for highly-regulated industries.
Time Series
Apply advanced, AI-driven forecasting models to the most critical parts of your operations, building resiliency, reducing uncertainty, and delivering forecasts that help every organization thrive in the face of continuous turbulence.
Nowcasting
Develop nowcasting models that will provide critical organization information by estimating current conditions to help understand factors that contribute to those conditions at that exact moment in time.
Leaderboard
Gain insights from useful summary information to fine-tune and evaluate models based on a chosen optimization metric- meaning the best performing models are at the top.
Learn More About AI in Financial Services
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![How Banks are Winning with AI and Automated Machine Learning hero banner]()
EbookHow Banks Are Winning with AI and Automated Machine LearningIn this white paper, we will survey the landscape of use cases we see banks all over the world pursuing, delve into case studies which describe how organizations large and small are leveraging automated machine learning and, finally, will prescribe some simple rules for spotting high-value use cases in your own organization.Read More -
![Opening the Black Box The Path to Deployment of AI Models in Banking hero banner]()
EbookOpening the “Black Box”: The Path to Deployment of AI Models in BankingRecent technological advancements have accelerated the integration of AI and machine learning models into more and more banking processes. However, model risk must be effectively managed. If left unchecked, the consequences of model risk can be severe. AI and machine learning models require constant monitoring and effective validation – this is not only a regulatory requirement but also sound business practice.Read More -
![DataRobot Framework of ML Governance Background V2.0]()
EbookThe Framework for ML GovernanceEffective governance is a crucial component of every successful machine learning (ML) initiative. Yet, according to DataRobot’s 5 Latest Trends in Enterprise Machine Learning report, governance-related issues are one of the biggest roadblocks for organizations implementing ML. Around 56% of all organizations struggle with governance, security, and auditability issues.Read More -
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Ebook5 AI Solutions Every Wealth Manager NeedsThe most innovative wealth management firms are exploring artificial intelligence (AI) using machine learning as a means of keeping ahead of a rapidly changing marketplace. Effective applications of AI can help wealth management firms target new client prospects, develop new investment products, increase client profitability by deepening relationships, eliminate operational inefficiencies, and more effectively manage risk.Read More -
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Ebook6 AI Solutions Every Asset Manager NeedsAs the buy side faces the most challenging period in its history, AI and Machine Learning are being used today to counter the onslaught of obstacles – and help those same firms achieve significant ROIRead More -
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Ebook5 AI Solutions Every Chief Risk Officer NeedsThis ebook details the key ways risk managers can implement AI to see verifiable impacts on their bottom lines. Additionally, it introduces the DataRobot automated machine learning platform, which has already helped both regional and global banks build world-class AI capabilities.Read More -
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Ebook6 AI Solutions Every Commercial Bank NeedsRead More
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![How Banks are Winning with AI and Automated Machine Learning hero banner]()
EbookHow Banks Are Winning with AI and Automated Machine LearningIn this white paper, we will survey the landscape of use cases we see banks all over the world pursuing, delve into case studies which describe how organizations large and small are leveraging automated machine learning and, finally, will prescribe some simple rules for spotting high-value use cases in your own organization.Read More -
![Opening the Black Box The Path to Deployment of AI Models in Banking hero banner]()
EbookOpening the “Black Box”: The Path to Deployment of AI Models in BankingRecent technological advancements have accelerated the integration of AI and machine learning models into more and more banking processes. However, model risk must be effectively managed. If left unchecked, the consequences of model risk can be severe. AI and machine learning models require constant monitoring and effective validation – this is not only a regulatory requirement but also sound business practice.Read More -
![DataRobot Framework of ML Governance Background V2.0]()
EbookThe Framework for ML GovernanceEffective governance is a crucial component of every successful machine learning (ML) initiative. Yet, according to DataRobot’s 5 Latest Trends in Enterprise Machine Learning report, governance-related issues are one of the biggest roadblocks for organizations implementing ML. Around 56% of all organizations struggle with governance, security, and auditability issues.Read More -
![]()
Ebook5 AI Solutions Every Wealth Manager NeedsThe most innovative wealth management firms are exploring artificial intelligence (AI) using machine learning as a means of keeping ahead of a rapidly changing marketplace. Effective applications of AI can help wealth management firms target new client prospects, develop new investment products, increase client profitability by deepening relationships, eliminate operational inefficiencies, and more effectively manage risk.Read More -
![6 AI Solutions Every Asset Manager Needs hero banner]()
Ebook6 AI Solutions Every Asset Manager NeedsAs the buy side faces the most challenging period in its history, AI and Machine Learning are being used today to counter the onslaught of obstacles – and help those same firms achieve significant ROIRead More -
![5 AI Solutions Every Chief Risk Officer Needs hero banner 1]()
Ebook5 AI Solutions Every Chief Risk Officer NeedsThis ebook details the key ways risk managers can implement AI to see verifiable impacts on their bottom lines. Additionally, it introduces the DataRobot automated machine learning platform, which has already helped both regional and global banks build world-class AI capabilities.Read More -
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Ebook6 AI Solutions Every Commercial Bank NeedsRead More
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