Why wait months to start seeing results from machine learning?

We designed our Machine Learning Jumpstart program to help you explore the possibilities of advanced analytics and give you actionable insights in just 6-8 weeks. 

Machine Learning Jumpstart

During your four-step Machine Learning Jumpstart, we’ll consider a key business problem, assess your data, and build a machine learning model that delivers answers fast.
This four-step process allows you to explore the capabilities of machine learning and quickly gain answers to a key business question. Step 1: Identify a use case; Step 2: Process Data; Step 3: Develop the model; Step 4: Integrate Insights

What you can expect

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Use case identification

We’ll partner with you and your key stakeholders to identify a use case that is high value, deliverable in the short term, and a good fit for machine learning

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Data processing

We’ll partner with your data and application teams to source relevant data to execute your use case

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Machine learning model development

We’ll build a machine learning model that can be reused for other use cases

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Model insights integration

We’ll load our predictions into your desired business platform so you can realize the value of machine learning immediately

What you’ll get

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Actionable predictions from your data sourced from the machine learning model

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A machine learning model your team can optimize or select another use case to execute

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A deeper understanding of use cases that are applicable for machine learning and which use cases may be better served by traditional analytics and/or BI

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An understanding of the machine learning process and a baseline to develop an advanced analytics Center of Excellence inside your bank

Past machine learning client results

45%

Retention of lapsing customers

20%

Increase in B2B sales

2%

Reduction in multi-billion-dollar cash reserves

Interested in learning more?

Have questions or want to know how to get started? You can send us an email with questions or book a meeting to talk with one of our experts.

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