2026 Impact Awards

Fraud & AML Submission Form

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Please complete the form in its entirety before starting a new submission.

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Requirements for Participation

Nominated innovations must be in production and must have been developed and implemented within the last two years (i.e., after January 1, 2024).
Datos Insights requires all nominations to be as detailed and descriptive as possible to ensure a complete understanding of the nominated innovation and support fair and objective evaluation.

Select Award Category(Required)

Contact information of person submitting the nomination:

First Name(Required)

Last Name(Required)

Company(Required)

Job Title(Required)

NOMINEE INFORMATION

Nominee Firm Name(Required)

Introduction/Description of Nominee Firm(Required)

2026 FRAUD & AML IMPACT AWARDS

Please describe the recent innovation being nominated. Please detail – what it is, what does it do, and how does it work?(Required)

What industry problems/challenges or unmet need does your recent innovation address?(Required)

Why is your recent innovation considered to be “innovative”? What distinguishes it from other similar commercial offerings?(Required)

Please describe the technologies underlying your innovation (for example, supervised or unsupervised machine learning, generative or agentic AI, or other), what specific function it performs within the innovation and why your approach is unique to the market.(Required)

INNOVATION BENEFITS AND VALUE

What are the specific qualitative benefits and value propositions which your recent innovation has delivered to the industry?(Required)

What are the quantitative improvements and specific, metric-based benefits clients have already realized from using your recent innovation?(Required)

FUTURE ROADMAP & OTHER INFORMATION

What is your innovation’s 12-to-18-month roadmap?(Required)

Please include any additional information that should be considered not already mentioned above to support the judges in fully recognizing the uniqueness and value proposition of your innovation.

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