3. WHERE IT’S HEADED
“The most profound technologies are those that
disappear. They weave themselves into the fabric of
everyday life until they are indistinguishable from it.”
~Mark Weiser
5. SIMPLIFY USAGE
Despite the cloud-based advancements, many
businesses won’t have the expertise to operate a
generic machine learning platform.
Can you make using machine learning easier for a
target customer base and/or use case?
6. PROVIDE SOLUTION CONSULTING
Many businesses will need help designing, building,
and using their machine learning systems efficiently
and effectively.
Can you help them implement?
7. MANAGEMENT SERVICES
Alongside their existing IT management services,
businesses will need help managing and operating
their machine learning systems.
Can you help them keep everything humming along?
10. IN DATA
● Big data
● Statistical models
● Understanding of the data
● Make decisions based on data.
● Predictive modeling
11. IN LEARNING
● Sparse data unsupervised machine learning
● Big data unsupervised machine learning
● Big data supervised machine learning
● Sparse data supervised machine learning
16. A vastly different world is on the horizon and it needs
a cascade of new products and services.
You can help shape what that new future looks like.
2025 — Men on Mars
2026 — Quantum Computing
2029 — Computers’ ≥ Human Intelligence
2030 — Mining asteroids
NOW IS THE TIME
17. WHAT’S NEXT?
1. How Machine Learning Works for Business
2. Building a Predictive Engagement System
3. Opinion Mining & Sentiment Analysis
4. Building a Predictive Personalization System
5. Tracking Customer Interests
6. Predicting Customer Behavior
7. Personalized Product Recommendations
8. Perfecting Delivery Times for Email, Social Posts, & Blog Content
9. Automated Content Generation
10. Determining Smartphone User Behavior
11. Capacity Forecasting for Inventory & Infrastructure