1. Luke Do, Jessica Olmedo, Arely Romero, and Vianca Santana
Machine Learning
Luke Do, Jessica Olmedo, Arely Romero, and Vianca Santana

2. Agenda About Machine Learning IBM Watson Limitations & Solutions
Workplace Impact
Agenda

3. About Machine Learning
"A method of data analysis that automates analytical model building"
Learn
Identify Patterns
Make Decisions

4. Machine Learning Take Over
 Digital Transformation
 Efficient
 Cost-Effective
 Reliable
 Supports Decision Making

5. Importance of Machine Learning
Human Generated Model
 Analysis of Complex Data
Accurate Results

6. Current Implementations
Financial Services
Government
Health Care
Transportation
In financial industry, machine learning helps preparing for customers best tax return based on human input. It uses the learning capability to understand the financial language in tax services and provides customers with a transparent and smooth tax preparation process.
In government agencies, the Department of Energy's self-learning weather and renewable forecasting technology uses machine learning, sensor information, and satellite observations to improve solar forecasting accuracy by 30 percent.
In health care, machine learning can learn from patient’s medical history and symptoms from clinic’s database to generate accurate and timely diagnostics of patient health. Physicians only need to enter patient’s symptoms and other external factors and the machine will do the rest by mining through patient’s medical records and using its artificial intelligence to suggest a potential diagnostic.
In transportation, ML enhances maintenance with unstructured data, natural language search, and additional analytics to inform maintenance planning, drive predictive maintenance and introduce new efficiencies to reduce turnaround time

7. Available Platforms
Amazon
Google Cloud
IBM Watson
Microsoft Azure

8. IBM Watson

9. About IBM Watson Machine & Deep Learning Easy Visualization All-In-One
Machine and deep learning
Monitor and improve different machine learning and deep learning models by running automated experiments and comparing results.
Easy visualizations
Create machine learning models using visual modeling tools and quickly identify patterns, gain insights, and make decisions faster.
All-in-one
Do your work in one place and seamlessly integrate with Watson Knowledge Catalog and Watson Studio. Harness the power of shared data sets, notebooks, articles and more.
Machine & Deep
Learning
Easy Visualization
All-In-One

10. Limitations & Solutions
Missing And Inaccessible Data
Unrealistic Timeline
Hard to be Innovative
Customized Timelines
Improve Data Quality
Limitations & Solutions
Incorporating longer timelines
Provide complete and diverse data for Watson to "learn" and apply

11. Workplace Impact Business Value Better Decision Making
Assist Day to Day Tasks
Better Decision Making
Information Gathering and Analysis
Why is this topic important to the modern organization?
Why would this be helpful to your classmates as future business leaders?
How does your topic potentially add value to the organization?
What is the future (especially as it applies to your classmates)?

12. The Future 2.3 Million Jobs By 2020 Increase Need For IT Professionals
At The Expense Of 1.7 Million Jobs
Increase Need For IT Professionals
$135,000

13. How to Get In Machine Learning
Take Advanced Mathematics Or Machine Learning Courses
Understand Algorithms
Learn Programming Languages (C++)
Be Business Liaisons

14. Bibliography