Amberoon

Data-driven business perspective
Uncovering unknown risks
The business face of big data

Uncovering Unknown Risks

“Tell me what you know. Tell me what you don't know. And then, based on what you really know and what you really don't know, tell me what you think is most likely to happen.”

- Colin Powell

Businesses that have unique insights on their market and stakeholders make better decisions than those who lack this perspective. Amberoon works on business perspective solutions that leverage analytics technologies. A key element of the Amberoon approach is to optimize a solution around business use cases and enterprise performance metrics that are most relevant to business results.

Business Perspective Solutions

Amberoon

About

Amberoon uncovers unkown risks using a data-driven approach to risk management.

Anti-money laundering achieved through contemporary technology.

A thought leadership forum for the business application of advanced analytics technologies.

Risk-based Approach

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Cognitive Analytics

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Reduce Compliance Exposure

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Risk-based Approach

A risk-based approach to AML can improve monitoring and compliance while reducing costs. Lucre facilitates a risk-based approach by focusing a bank's efforts on a smaller set of transactions with highest probability of AML risk, so intervention can be done in a timely manner.

Cognitive Analytics

Technology developments in big data, machine learning and predictive analytics provide the basis for mitigating AML risk. These technologies can be used to identify patterns of bad behavior that are very hard to detect by a human being.

Reduce Compliance Exposure

Banks can use Lucre to reduce compliance exposure by improving existing banking processes and by creating new approaches to managing existing AML processes including setting up effective internal controls and alert systems.

Innovation in Risk Management and Security Compliance - 9AM PST 7/12/16

Prasanna Mulgaonkar - CEO of Cloud Raxak, a SaaS-based security offering for cloud-based that empowers IT and application development teams by automating security, and ensuring compliance across private and public clouds.

Robert M. Mark - CEO, Black Diamond Risk Management, a provider of corporate governance, risk management consulting, risk software tools and transaction services. He is former CRO of CIBC where with global responsibility for all credit, market, and operating risks.

Sanjay H. Mody - Former head of global operations Silicon Valley Bank. He is an experienced leader in banking operations and client services. Prior experience included executive positions at Bank of America and JP Morgan Chase.

Shirish Netke - CEO and President of Amberoon, a provider of data-driven risk management solutions for Anti-money Laundering for financial institutions. He has extensive leadership experience in high-growth technology companies including Sun Microsystems and Aztecsoft.

Carpe Datum Rx Blog

Should Community Banks and Credit Unions Worry About Blockchain?

posted at 12/31/16 6:53 AM

There is more hype, discussion and disagreement about Blockchain than any other technology...Read more

How Can Community Banks Keep Up With Customer Demands?

posted at 11/27/16 3:00 PM

In a blog post last month, I listed some of the major challenges facing smaller financial...Read more

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Fintech in 2017: Risk management takes center stage

posted at 11/17/16 12:14 PM

A day in the life of the gentleman banker was once described by the 3-6-3 rule – accept deposits at...Read more

Data-driven business perspective

Uncovering unknown risks

The business face of big data

Uncovering Unknown Risks

Business Perspective Solutions

Amberoon

About

Solutions

Carpe Datum Rx

Lucre

Risk-based Approach

Cognitive Analytics

Reduce Compliance Exposure

Risk-based Approach

Cognitive Analytics

Reduce Compliance Exposure

Innovation in Risk Management and Security Compliance - 9AM PST 7/12/16

Carpe Datum Rx Blog

Carpe Datum Rx - Thought Leadership

Innovation in Risk Management and Security Compliance

Big Data Analytics and Risk Management

Debate: Is Data Science Dead?

More

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