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Machine Learning and AI  USE CASES LAB 

LAB - IMMERSE IN OUR Process: Steps in building an ML solution  

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Identify business problem

Develop hypothesis

Acquire + explore data

Build a

model

Train the model

Apply and

scale

LABORATORY: InSIDE OUR KITCHEN

YOUR TEAM TO BUILD ML MODEL AND PUT THEM INTO PRODUCTION

Data
Machine Learning
DATA ENGINEERING

Data Ingestion

Data Preparation

Data Storage

Data Cataloging

DATA ANALYSIS

Data Exploration

Data Preprocessing

Data Insights

MODEL DEVELOPMENT

Feature Engineering

Model
Training

Model
Registry

Model Evaluation

ML ENGINEERING

Model
Serving 

Model
Deployment 
(e.g. edge, microservice) 

Model Monitoring

INSIGHTS ACTIVATION

Influence
business decisions
(e.g. reports, dashboards, alerting)

Influence
consumer decisions

(e.g. increase usage,
reduce churn)

Serve other
applications/services

Feature Store

Orchestration (e.g. data pipelines, ML pipelines, scheduling, CI/CD)

OR LEVERAGE ONE OF OUR PRE-BUILT ACCELERATORS: EXAMPLES OF Use Case/Industry

30+ Pre-designed Use Cases  

by industry 

by use case

Advertising and marketing technology

Education

Enterprise technology and software

Financial services

Healthcare 

Manufacturing

Retail and consumer goods​

Communication service providers

Energy and utilities

State and local Government

Gaming

Life sciences

Media and entertainment

Federal government

Customer Lifetime Value

Customer Retention

Faster, More Accurate Demand Forecasting

Safety Stock Analysis

Alternative Data for Investing

Life Predictive Maintanance (IoT)

Quality of Service Video Streaming Analysis

Threat Detection at Scale With DNS Analytics

Digital Pathology Image Analysis

Reputation Risk

Rules-based AI for Financial Fraud Prevention

Building forward-looking intelligence with external data

Subscriber Churn Prediction

Recommendation Engines

Clinical Data Lake

Customer Segmentation

ESG Investing

Risk / Values at Risk Calculation

Ad Effectiveness w/Forecasting & Attribution

Disease Prediction

Anomaly Detection w/Geo Clustering

Transaction Enrichment

Product Matching with machine learning

Modernizing investment data platforms

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