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Machine Learning & Data Access (Keys to Building a Competitive…
Machine Learning & Data Access
FinTech
Cost Reduction
Differentiation
Improved Retention of Customers
Additional Revenues
Most Likely to Be Disrupted?
Consumer Banking and Fund Transfers
Story Behind Machine Learning & Data Access
Whats is Machine Learning?
1) Coding/ Hacking, 2) Math/ Algorithms, 3) Domain Expertise
Most important is
Domain Expertise
Two Stages of Predictive Analytics
Training, Fitting, Building
Historical Examples
Predictions, Scoring, Implementation
No Historical Examples
Artificial Intelligence
vs
Machine Learning
AI
Take the output of machine learning models to put to use
Machine Learning
Narrow Questions
Why is More Data Better
More decisions on more people
Keys to Building a Competitive Advantage
Have the right data, when and where you need it
Make it actionable
Train everyone to identify opportunities to use ML
Without this you will have limited ROI, few ideas, and limited business impact
Execute as many opportunities as possible
They key to execution is automation
Real Time Data Access
Turning messy and unstrucutured data into useable and ready data
Things that would take weeks to process/ find can now take just an afternoon with all the resources available
Repercussions of Missing Out on Data
Incomplete customer assessments
Inaccurate levels of risk
High friction processes
Demyst Data
DataRobot