Luke Do, Jessica Olmedo, Arely Romero, and Vianca Santana

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Presentation transcript:

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

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

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

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

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

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

Available Platforms Amazon Google Cloud IBM Watson Microsoft Azure

IBM Watson

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

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

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)?

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

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

Bibliography https://www.sas.com/en_us/insights/analytics/machine-learning.html https://www.ibm.com/analytics/machine-learning https://www.ibm.com/cloud/machine-learning https://www.youtube.com/watch?v=5kMDIBpxi_k